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Rajamma, Rajasree K., Audhesh Paswan, and Nancy Spears. "User-generated content (UGC) misclassification and its effects." Journal of Consumer Marketing 37, no. 2 (October 23, 2019): 125–38. http://dx.doi.org/10.1108/jcm-08-2018-2819.
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Purpose User-generated content (UGC), e.g. YouTube videos on social media, is all around us. These UGCs are primarily demonstrational and/or informational in their execution format. However, viewers could easily misclassify the UGCs and that may be detrimental to the focal product in the UGC. This study aims to investigate this phenomenon. Design/methodology/approach The study uses an online survey (N = 459). The respondents were randomly exposed to one of the two UGCs – informational or demonstrational – and then responded to questions measuring their attribution and their purchase intention towards the focal product in the UGC. Findings Results indicate that about 20% of the respondents misclassified the type of UGC. Further, UGC characteristics such as vicarious experience, transparency and connectedness significantly enhance purchase intention, especially for demonstrational videos; demonstrational UGC, when correctly perceived yield the most favorable results; and misclassification does suppress these relationships. Research limitations/implications This study contributes to the theory and practice by linking the viewer evaluation of UGC on various evaluative dimensions (i.e. vicarious experience, connectedness, transparency and perceived risk), purchase intention towards the focal product in the UGC and correct or incorrect classification of the UGC format (demonstrational or informational). This study adds to the knowledge base about UGC by highlighting some of the pitfalls when viewers misclassify the UGC format and emphasizes the importance of a match between the content of the UGC and the perceptions and expectations associated with the medium on which it is uploaded. Like any other research, this study too has its limitations. It has only looked at a few possible variables that would predict the purchase intention in the context of the complex and rich phenomenon of UGC. Future studies should look at other sources of misclassification. Practical implications Given the ubiquitous nature of social media and their role in consumer decision-making, the findings of this study have serious practical implications. The results of the study highlight steps to be taken by both creators and marketers to improve effectiveness of UGCs. Social implications While this study does not focus on the social aspects of UGCs, it is not difficult to imagine the phenomenon of UGC misclassification, either as a mistake or deliberately induced and its social implications. Fake news seems to be not uncommon. Originality/value Even though the impact of consumer-to-consumer information exchange and UGC on consumers’ brand attitude and purchase intention is well recognized, there is limited research on this topic. Further, to the best of the authors’ knowledge, this study is the first to explicitly examine the concept of misclassification and corresponding issues in the context of UGCs.
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Presi, Caterina, Charalampos Saridakis, and Susanna Hartmans. "User-generated content behaviour of the dissatisfied service customer." European Journal of Marketing 48, no. 9/10 (September 2, 2014): 1600–1625. http://dx.doi.org/10.1108/ejm-07-2012-0400.
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Purpose – This study aims to focus on the motivation of service customers to create user-generated content (UGC) after a negative service experience. In examining this relationship, the moderating role of “extraversion” personality trait is also taken into consideration. Furthermore, the paper examines how differently motivated service customers react to a firm’s service recovery strategies, whilst insights into the relationship between UGC creation and specific online platform usage are also provided. Design/methodology/approach – Structural Equation Modeling is used to test the conceptual model, based on an empirical dataset collected from an online survey research of 239 service customers. The dataset pertains to international travellers and their UGC behaviour after a negative travel experience. Findings – Altruistic, vengeance and economic motivations are strong drivers for UGC creation after a negative service experience. Motivations also correlate to participation in specific online platforms. Furthermore, it is shown that highly extraverted customers create more UGC after a negative service experience when motivated by vengeance. Finally, higher levels of altruistic and self-enhancement motivations correlate with a positive attitude towards a firm’s response, whereas customers who are motivated by vengeance have a negative attitude towards a firm’s response. Practical implications – Customers who share their negative service experience by creating UGC in social media can be segmented according to their motivation. Service providers should inspect the UGC of their customers to understand the motivation behind it. The motivation to create UGC varies across platforms, and hence, customized service recovery strategies are required. Originality/value – This paper examines UGC creation in relation to motivation, extraversion, and attitude towards a firm’s response. This is the first reported application which collectively examines important issues like these in a unified theoretical framework.
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Jasmine, Zahwa F., and Fadillah Fadillah. "Effects of user-generated content on social media advertising strategi." IMOVICCON Conference Proceeding 2, no. 1 (July 6, 2021): 139–48. http://dx.doi.org/10.37312/imoviccon.v2i1.59.
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Both the use of UGC in the designing process of social media advertising and social media advertising itself, are two relatively new developments following the information age. Time and time again the various effects and outcomes of UGC in social media advertising, including positive and negative responds which accordingly changed audience perception of the advertised. One recent example is the use of #GundalaFanart, a call for fan art submissions to promote the 2019 Indonesian superhero movie, Gundala. The case study method will be used to analyze the implementation of this UGC on the advertising of Gundala, and to provide an example of how much it affects brand awareness or image. We arrive to the conclusion that the UGC #GundalaFanart received positive attention from both familiar and new audience due to two factors; the form of the UGC itself aligns well with the film’s image and core message, and aligns as well with the product’s position within the consumer’s mind. These two factors are important to ensure effectiveness when designing and implementing UGC into a social media advertisement campaign. The UGC has significant effect on the reputation of the product or brand, which in turn affects the consumer’s perception of it, subsequently also affecting the decision making process in consuming said product.
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Sang, Guangliang, and Ken Nah. "A Study of Consumers' decision-making tendency in the context of User-Generated Content." Korea Institute of Design Research Society 7, no. 4 (December 31, 2022): 248–65. http://dx.doi.org/10.46248/kidrs.2022.4.248.
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Driven by both the rise of digital platforms and the prevalence of media marketing, consumers’ purchase decisions is influenced by various factors in the transition from old media to new media. The formation of a young consumer outlook has led to the traditional brand model losing its previous confidence in the grasp of customers' purchasing decisions. User-Generated Content (UGC) generated based on new media platforms, as content created by the public, is considered to be objective and free of commercial interest linkages, enabling a form of sharing. One of the strong consensuses of UGC is its influence on consumer decisions.The research methodology of this study is divided into three main parts to explore this phenomenon. First, through extensive literature research, it is found that consumers are eager to receive complete information, rational word-of-mouth reviews from others can change consumers' purchasing tendencies, and online platforms in the form of big data can help pinpoint audiences. Secondly, this study proposes the hypothesis that (1) the positive impact of UGC on consumer decisions is greater than the negative impact and (2) the degree of UGC's influence on customer decisions is negatively correlated with monthly consumption, and is analyzed quantitatively. Finally, the case for proposing a new iterative form of UGC is the presentation of live streaming as the primary form of stimulating consumer propensity to buy. This study aims to study the user consumption scenarios and user decision-making in the context of UGC caused by the prosperity of the alpha generation Internet context. The conclusion of this study is the iterative form of UGC, which can be seen as the user perception model “UGC Stimulation - Consumer Emotion - Impulsive Consumption” has increased the triggering effect of UGC to a greater extent. This study demonstrates the specific causes and influences of UGC on consumer purchase decisions. The results have implications for design thinking in that UGC should be an important consideration in the design of consumer-related systems or persuasive social platforms.
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Fang, Bing, Enpeng Hu, Junyang Shen, Jingwen Zhang, and Yang Chen. "Implicit Feedback Recommendation Method Based on User-Generated Content." Scientific Programming 2021 (October 28, 2021): 1–15. http://dx.doi.org/10.1155/2021/3982270.
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Studying recommendation method has long been a fundamental area in personalized marketing science. The rating data sparsity problem is the biggest challenge of recommendations. In addition, existing recommendation methods can only identify user preferences rather than customer needs. To solve these two bottleneck problems, we propose a novel implicit feedback recommendation method using user-generated content (UGC). We identify product feature and customer needs from UGC using Convolutional Neural Network (CNN) model and textual semantic analysis techniques, measure user-product fit degree introducing attention mechanism and antonym mechanism, and predict user rating based on user-product fit degree and user history rating data. Using data from a large-scale review sites, we demonstrate the effectiveness of our proposed method. Our study makes several research contributions. First, we propose a novel recommendation method with strong robustness against sparse rating data. Second, we propose a novel recommendation method based on the customer need-product feature fit. Third, we propose a novel approach to measure the fit degree of customer needs-product feature, which can effectively improve the performance of recommendation method. Our study also indicates the following findings: (1) UGC can be used to predict user ratings with no user rating records. This finding has important implications to solve the sparsity problem of recommendations thoroughly. (2) The customer need-based recommendation method has better performance than existing user preference-based recommendation methods. This finding sheds light on the necessity of mining customer need for recommendation methods. (3) UGC can be used to mine customer need and product features. This finding indicates that UGC also can be used in the other studies requiring information about customer need and product feature. (4) Comparing the opinions of user review should not be solely on the basis of semantic similarity. This finding sheds light on the limitation of existing opinion mining studies.
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Al-Abdallah, Ghaith, and Sarhang Jumaa. "User-Generated Content and Firm Generated Content: A Comparative Empirical Study of the Consumer Buying Process." ISSUE TEN 6, no. 1 (June 30, 2022): 10–31. http://dx.doi.org/10.25079/ukhjss.v6n1y2022.pp10-31.
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This research determines the impact of content marketing (user-generated content (UGC) and firm-generated content (FGC)) on the consumer buying process for telecommunication products and services in the Kurdistan Region of Iraq (KRI). The study attempts to compare the impact of UGC and FGC on the consumer buying process. To achieve this aim, the study utilized a descriptive quantitative methodology. The population of interest for this research is all consumers of telecommunication products in the KRI. Primary data was collected from 402 online questionnaires from a convenience, snowball, sample from the main provinces of Kurdistan. The results indicate that all FGC marketing dimensions have a statistically significant positive direct effect on the consumer buying process, while only content valence and information richness of UGC dimensions have a statistically significant positive direct effect. FGC valence has the greatest impact on the consumer buying process, closely followed by FGC trustworthiness, and then FGC information richness. Between the two examined types of content, FGC has a greater impact than UGC on the consumer buying process for telecommunication products and services. Telecommunications marketers and management should thus prioritize the identified FGC dimensions in their marketing strategies for optimum resource allocation efficiency. Further discussion is provided.
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Grau, Christoph. "2. ZIM-Jahrestagung zu „User Generated Content“." MedienWirtschaft 4, no. 2 (2007): 46–47. http://dx.doi.org/10.15358/1613-0669-2007-2-46.
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Anfang Mai 2007 lud das interdisziplinäre Zentrum für Internetforschung und Medienintegration (ZIM) der Ludwig-Maximilians-Universität München (LMU) wieder zu seiner Jahrestagung ein, um der Fachöffentlichkeit ausgewählte Forschungsergebnisse vorzustellen. Dieses Mal stand die Veranstaltung ganz im Zeichen von User Generated Content (UGC). Grundsätzlich sind darunter Inhalte zu verstehen, die von Nutzern ohne direkte Gewinnerzielungsabsicht erstellt werden und für die Distribution über Massenmedien vorgesehen sind (Stöckl/Grau/Hess 2006). Nutzergenerierte Inhalte sind ein aktuelles und scheinbar auch durchaus relevantes Phänomen, was sich nicht zuletzt daran zeigt, dass mit „MySpace“, „YouTube“ und „Wikipedia“ die drei bekanntesten Angebote mit User Generated Content mittlerweile in die Top 20 der weltweit am meisten genutzten Websites vorgestoßen sind. Obwohl sich UGC zunehmendem wissenschaftlichen und praktischen Interesse erfreut, sind viele Fragen in diesem Themenfeld bislang noch ungeklärt. Auf der 2. ZIM-Jahrestagung sollten diese Fragen diskutiert und erste Antworten entwickelt werden.
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Zelenkauskaite, Asta. "User-generated content gatekeeping on the radio: Displacing control to technology." Radio Journal:International Studies in Broadcast & Audio Media 17, no. 2 (October 1, 2019): 139–59. http://dx.doi.org/10.1386/rjao_00002_1.
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This study focuses on user-generated content (UGC) via Facebook and mobile texting selection and allocation for broadcast. Based on the premises of Gatekeeping theory in traditional mass media content selection, this study asks how social media messages, solicited by the radio station, are filtered out for the programmes. Based on semi-structured interviews with the Italian commercial radio station’s staff, participant observation and a content analysis of the UGC messages, the study scrutinizes institutional decision-making processes. The radio station’s selection of UGC exhibits efforts to maintain control over the streams of incoming UGC content. As expected, UGC manual content selection or automated content matching is geared towards efficiency. Also, in this study only 33 per cent of messages have been selected for broadcast. UGC gatekeeping has also presented evidence of displacement of control within the radio station. Rather than shifting control to audiences, radio stations displaced control to technology-assisted gatekeeping. While the study showed a ‘widening’ of the gates in terms of content (there was no differentiation in selecting messages directed to the radio station or to the overall audience members), shift of control to the audiences remains an ideal rather than reality.
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Furqan, Rahmatul, Sitti Murniati Muhtar, and Nasakros Arya. "Application of User Generated Content by Television News’ during Pandemic." Jurnal ASPIKOM 7, no. 1 (January 25, 2022): 71. http://dx.doi.org/10.24329/aspikom.v7i1.1069.
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The revolution of technology has always shaped the works of journalism, including the news content and its relationship with the public. Along with the digital era, people started to participate in and contribute to journalism. User Generated Content (UGC) has regularly altered both information flows and the nature of news work for the mainstream media. By conducting a qualitative content analysis, this study tries to examine the use of UGC by 24-hour news TV channels in Indonesia in relation to the context of participatory journalism in the Covid-19 pandemic situation. The results of this study indicate that four 24-hour TV news channels in Indonesia are beginning to negotiate most of their ‘professional logic’ towards the logic of ‘adaptation’. Overall, framing analysis shows that news TV stations’ use of UGC has not optimally encouraged more constructive pandemic journalism practices.
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Sun, Rui, and Hong Xue-Jiao. "Social Presence and User-Generated Content of Social Media in China." International Journal on Semantic Web and Information Systems 15, no. 3 (July 2019): 35–47. http://dx.doi.org/10.4018/ijswis.2019070103.
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As a representative of the flourishing development of the internet, social media is a critical platform for user-generated content (UGC). This study investigated the relationship between social presence and UGC through qualitative and quantitative methods. Social presence and user value were divided into three dimensions to comprehensively analyze how sensory, affective, and cognitive social presence produces emotional, social, and functional user value, thereby driving the formulation of UGC. Empirical research was carried out incorporating the moderating effect of perceived risk.
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Zhang, Xianfeng, Yang Yu, Hongxiu Li, and Zhangxi Lin. "Sentimental interplay between structured and unstructured user-generated contents." Online Information Review 40, no. 1 (February 8, 2016): 119–45. http://dx.doi.org/10.1108/oir-04-2015-0101.
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Purpose – User-generated content (UGC), i.e. the feedback from consumers in the electronic market, including structured and unstructured types, has become increasingly important in improving online businesses. However, the ambiguity and heterogeneity, and even the conflict between the two types of UGC, require a better understanding from the perspective of human cognitive psychology. By using online feedback on hotel services, the purpose of this paper is to explore the effects of satisfaction level, opinion dispersion and cultural context background on the interrelationship between structured and unstructured UGC. Design/methodology/approach – Natural language processing techniques – specifically, topic classification and sentiment analysis on the sentence level – are adopted to retrieve consumer sentiment polarity on five attributes relative to itemized ratings. Canonical correlation analyses are conducted to empirically validate the interplay between structured and unstructured UGC among different populations segmented by the mean-variance approach. Findings – The variety of cognitions displayed by individuals affects the general significant interrelationship between structured and unstructured UGC. Extremely dissatisfied consumers or those with heterogeneous opinions tend to have a closer interconnection, and the interaction between valence and dispersion further strengthens or loosens the relationship. The satisfied or neutral consumers tend to show confounding sentiment signals in relation to the two different UGC. Chinese consumers behave differently from non-Chinese consumers, resulting in a relatively looser interplay. Practical implications – By identifying consistent opinion providers and promoting more valuable UGC, UGC platforms can raise the quality of information generated. Hotels will then be able to enhance their services through the strategic use of UGC by analyzing reviews with dispersed low-itemized rating and by addressing the differences exhibited by non-Chinese customers. This analytical method can also help to create richly structured sentiment information from unstructured UGC. Originality/value – This paper investigates the variety of cognitive behaviors in the process when UGC are contributed by online reviewers, focussing on the consistency between structured and unstructured UGC. The study helps researchers understanding emotion recognition and affective computing in social media analytics, which is achieved by exploring the variety of UGC information and its relationship to the contributors’ cognitions. The analytical framework adopted also improves the prior techniques.
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Daradkeh, Mohammad Kamel. "Exploring the Usefulness of User-Generated Content for Business Intelligence in Innovation." International Journal of Enterprise Information Systems 17, no. 2 (April 2021): 44–70. http://dx.doi.org/10.4018/ijeis.2021040103.
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This study presents a systematic approach that integrates the information adoption model (IAM) with topic modeling to analyze the digital voice of users in online open innovation communities (OOICs) and empirically examines the usefulness of UGC with large amounts of redundant information and varying content quality across two dimensions: information quality and information source credibility. A total of 61,227 bug comments were collected from the OOIC of Huawei EMUI and analyzed using binary logistic regression. The results show that information timeliness and completeness have a positive effect on the usefulness of UGC in OOICs; conversely, information semantics have a negative effect on the usefulness of UGC. Prior user experience has no influence on the usefulness of UGC in OOICs, while active user contribution has a positive effect on the usefulness of UGC. The results of this study offer several implications to researchers and practitioners, and thus could serve as a pivotal reference source for further investigation of potential determinants of UGC usefulness in OOICs.
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Ismail, Farah Raihana, Amer Hamzah Jantan, Norashida Othman, and Md Asadul Islam. "User-Generated-Content and Millennial Moms' Birthplace Decision-Making Process." Environment-Behaviour Proceedings Journal 7, no. 22 (November 30, 2022): 77–83. http://dx.doi.org/10.21834/ebpj.v7i22.4151.
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Consumer reviews and experiences on UGC platforms are interoperable decision-making sources. Revolutionized UGC communication platform has changed millennial moms' birthplace decision-making process. They are rising concerns that UGC may lead to unsafe birth practices and risk the safety of the mother and baby. This preliminary qualitative study objective focused on exploring how other birth experiences shared over the UGC platform influence millennial moms' birthplace decisions. Preliminary findings identified two themes: verification and ratification and visibility and trustworthiness. The study provides in-depth information that aids policymakers, service providers, and marketers in understanding the millennial birthplace decision-making process from the consumers' perspective. Keywords: user-generated-content; decision-making process; experience; information search eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7i22.4151
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Lohar, Pintu, Haithem Afli, and Andy Way. "Maintaining Sentiment Polarity in Translation of User-Generated Content." Prague Bulletin of Mathematical Linguistics 108, no. 1 (June 1, 2017): 73–84. http://dx.doi.org/10.1515/pralin-2017-0010.
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Abstract The advent of social media has shaken the very foundations of how we share information, with Twitter, Facebook, and Linkedin among many well-known social networking platforms that facilitate information generation and distribution. However, the maximum 140-character restriction in Twitter encourages users to (sometimes deliberately) write somewhat informally in most cases. As a result, machine translation (MT) of user-generated content (UGC) becomes much more difficult for such noisy texts. In addition to translation quality being affected, this phenomenon may also negatively impact sentiment preservation in the translation process. That is, a sentence with positive sentiment in the source language may be translated into a sentence with negative or neutral sentiment in the target language. In this paper, we analyse both sentiment preservation and MT quality per se in the context of UGC, focusing especially on whether sentiment classification helps improve sentiment preservation in MT of UGC. We build four different experimental setups for tweet translation (i) using a single MT model trained on the whole Twitter parallel corpus, (ii) using multiple MT models based on sentiment classification, (iii) using MT models including additional out-of-domain data, and (iv) adding MT models based on the phrase-table fill-up method to accompany the sentiment translation models with an aim of improving MT quality and at the same time maintaining sentiment polarity preservation. Our empirical evaluation shows that despite a slight deterioration in MT quality, our system significantly outperforms the Baseline MT system (without using sentiment classification) in terms of sentiment preservation. We also demonstrate that using an MT engine that conveys a sentiment different from that of the UGC can even worsen both the translation quality and sentiment preservation.
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Iswari, Ni Made Satvika, Nunik Afriliana, and Suryasari. "User-Generated Content Extraction: A Bibliometric Analysis of the Research Literature (2007–2022)." Journal of Hunan University Natural Sciences 49, no. 11 (November 30, 2022): 120–26. http://dx.doi.org/10.55463/issn.1674-2974.49.11.14.
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Scientific studies on user-generated content extraction began in 2007. User-generated content (UGC), which is all forms of content created by someone, is widely available on social media and can influence customer desire to shop. This study aims to systematically map research trends in the field of UGC extraction over the last 15 years using metadata taken from the Scopus database. Thus, novelties and opportunities will be found that will serve as a resource for researchers conducting research and determining the research theme. Bibliometric review analysis was carried out in this study by analyzing literature from year 2007 until 2022. The search using keywords related to UGC extraction resulted in 382 papers related to the specified keywords. The main findings of this study are 1) Research in the field of UGC extraction has emerged and has grown since 2007, 2) Research in this field has been conducted by researchers from various countries, mostly from China, followed by the United States, India, Italy, Germany, Spain, etc., 3) Several keywords were discussed in this field, which include UGC, sentiment analysis, opinion mining, social media, and information extraction. This bibliometric analysis has provided information on research opportunities/directions related to UGC extraction in the future. The originality of this study is that a bibliometric analysis was performed for the research trends in UGC with a focus on technical extraction. This topic is interesting to raise because mining and extracting knowledge from UGC is quite an expensive and labor-intensive undertaking.
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Rubyanti, Desi, and Irwansyah Irwansyah. "PERAN USER GENERATED CONTENT (UGC) INSTAGRAM PADA INDUSTRI MAKANAN." MEDIAKOM 4, no. 1 (September 7, 2020): 1–24. http://dx.doi.org/10.32528/mdk.v4i1.3569.
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Nosita, Firda, and Tina Lestari. "The Influence of User Generated Content and Purchase Intention on Beauty Products." GATR Journal of Management and Marketing Review 4, no. 3 (September 21, 2019): 171–83. http://dx.doi.org/10.35609/jmmr.2019.4.3(2).
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Objective – The thrive of social media enables everyone to share their purchase and consumption experiences, including beauty product consumption. The study aims to determine whether the attitude towards UGC, perceived credibility and user activity of UGC on YouTube influences the purchase intention toward a beauty product. Methodology/Technique – Questionnaires were distributed online to 200 people who had watched beauty product review videos on YouTube at least once and who were minimum 18 years old. The data was analyzed using multiple regression. Findings – The results indicate that attitudes towards UGC content on YouTube and perceived credibility affect purchasing intentions. Whereas user activities does not correlate with purchase intentions on beauty products. UGC content usually provides information and provides tips and tricks about using beauty products. The more attractive the content is, the more people want to see it and the more likely they will be to use the content to fulfill their information needs. Beauty vloggers are considered more credible than producer-generated content. Activities such as searching for, liking, subscribing or commenting does not necessarily indicate purchase intentions. This simply represents people fulfilling their social needs to interact with each other in a social environment. Novelty – Companies could provide training or facilities for UGC creators in order to create more attractive content. The most important finding of this study is that companies should continually improve the quality of their products, because the credibility of content makers relies on their experience with the products themselves. Marketers should monitor community discussions to find out more about the public interest in their products. In addition, marketers can also identify the shortcomings of their products to better enable them to fix them by reviewing comments on UGC. Type of Paper: Empirical. Keywords: User Generated Content (UGC); Beauty Vlogger; Beauty Product; E-WoM; YouTube. Reference to this paper should be made as follows: Nosita, F.; Lestari,T. 2019. The Influence of User Generated Content and Purchase Intention on Beauty Products, J. Mgt. Mkt. Review 4 (3) 171 – 183. https://doi.org/10.35609/jmmr.2019.4.3(2) JEL Classification: M31, M37, M39.
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Estrella-Ramón, Antonia, and Fiona Ellis-Chadwick. "Do different kinds of user-generated content in online brand communities really work?" Online Information Review 41, no. 7 (November 13, 2017): 954–68. http://dx.doi.org/10.1108/oir-08-2016-0229.
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Purpose Due to the fact that user-generated content (UGC) and online brand communities (OBCs) are gaining popularity, the purpose of this paper is to identify the type of UGC that has a real effect on product success, in terms of the number of owners, within a popular OBC associated with video games. Design/methodology/approach Different types of UGC for 205 video games were manually collected (the number of positive and negative comments, discussions, screenshots, artwork, videos, guides developed by users and the presence of a workshop) to test their influence on product success. The proposed hypotheses were tested using multiple ridge regression analysis. Findings Results show that users look for simple and quick reviews and content about products in OBCs (i.e. guides developed by users, comments, artwork and screenshots). However, results also show that users do not guide their purchases based on UGC when the process of gaining understanding is more time consuming (i.e. reading discussions, watching videos) or requires more active involvement (i.e. workshop presence). Originality/value Limited research has been conducted on the type of UGC found in OBCs. This study contributes to the understanding of the potential influence of different types of UGC on product success. In addition, it offers managerial insights for companies into how to manage content in online communities.
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Putri, Ardhanareswari A. Handoko. "Investigating Audience Empowerment Through User-Generated Content Practice in Online Media Platforms." Jurnal Komunikasi 14, no. 1 (July 1, 2022): 172. http://dx.doi.org/10.24912/jk.v14i1.15442.
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In the contemporary media sphere, newsrooms are urged to transform the exclusive editorial culture into an inclusive working environment to enable collaboration between journalists and audiences. Thus, UGC has become common practice to build a participatory space where the audiences function as active participants. However, the current UGC practice has strengthened the dilemma of audiences in journalism. On the one hand, media organisations are obliged to serve the ‘citizens’ as a part of the press's significant role in the realm of democracy. Nevertheless, at the same time, media organisations also have to operate as profit-based entities in order to survive financially. In this context, the audiences are treated as ‘consumers’ from whom the profit is derived. By utilising the concept of ‘participatory journalism’ and the audience empowerment in journalism, this article aims to capture the UGC practice in the media in Indonesia and how it affects the audiences; whether it merely serves the media as a part of business strategy or the practice also aspires to empower the audiences. This qualitative study case focuses on three mainstream online media in Indonesia, namely Kumparan, IDN Times, and Detikcom. This study finds that while the empowering UGC practice begins to appear, the general practice of UGC indicates that it is a mere business strategy. In other words, audiences are deemed as ‘consumers’ rather than ‘citizens.’ Thus, this current situation creates a ‘false sense of participation’ in participatory journalism practice.
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MELERO, M., M. R. COSTA-JUSSÀ, P. LAMBERT, and M. QUIXAL. "Selection of correction candidates for the normalization of Spanish user-generated content." Natural Language Engineering 22, no. 1 (February 24, 2014): 135–61. http://dx.doi.org/10.1017/s1351324914000011.
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AbstractWe present research aiming to build tools for the normalization of User-Generated Content (UGC). We argue that processing this type of text requires the revisiting of the initial steps of Natural Language Processing, since UGC (micro-blog, blog, and, generally, Web 2.0 user-generated texts) presents a number of nonstandard communicative and linguistic characteristics – often closer to oral and colloquial language than to edited text. We present a corpus of UGC text in Spanish from three different sources: Twitter, consumer reviews, and blogs, and describe its main characteristics. We motivate the need for UGC text normalization by analyzing the problems found when processing this type of text through a conventional language processing pipeline, particularly in the tasks of lemmatization and morphosyntactic tagging. Our aim with this paper is to seize the power of already existing spell and grammar correction engines and endow them with automatic normalization capabilities in order to pave the way for the application of standard Natural Language Processing tools to typical UGC text. Particularly, we propose a strategy for automatically normalizing UGC by adding a module on top of a pre-existing spell-checker that selects the most plausible correction from an unranked list of candidates provided by the spell-checker. To build this selector module we train four language models, each one containing a different type of linguistic information in a trade-off with its generalization capabilities. Our experiments show that the models trained on truecase and lowercase word forms are more discriminative than the others at selecting the best candidate. We have also experimented with a parametrized combination of the models by both optimizing directly on the selection task and doing a linear interpolation of the models. The resulting parametrized combinations obtain results close to the best performing model but do not improve on those results, as measured on the test set. The precision of the selector module in ranking number one the expected correction proposal on the test corpora reaches 82.5% for Twitter text (baseline 57%) and 88% for non-Twitter text (baseline 64%).
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Narangajavana Kaosiri, Yeamduan, Luis José Callarisa Fiol, Miguel Ángel Moliner Tena, Rosa María Rodríguez Artola, and Javier Sánchez García. "User-Generated Content Sources in Social Media: A New Approach to Explore Tourist Satisfaction." Journal of Travel Research 58, no. 2 (December 14, 2017): 253–65. http://dx.doi.org/10.1177/0047287517746014.
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The study focuses on sources of user-generated content (UGC) in social media: strong-tie sources, weak-tie sources, and tourism-tie sources and their effects on tourist satisfaction with the destination. It is separated into the pre- and post- travel processes. First, it addresses the influences of sources of UGC on tourist expectations about core resources and supporting factors, and then analyzes tourist satisfaction by concentrating on tourist expectations and perceptions of core resources and supporting factors. Findings suggest that UGC sources have an indirect effect on tourist satisfaction since most UGC sources have an influence on tourist expectations, which will later be compared with the real tourist perception. Main conclusions and some recommendations and limitations are provided.
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Subramanian, Hemang, Sabyasachi Mitra, and Sam Ransbotham. "Capturing Value in Platform Business Models That Rely on User-Generated Content." Organization Science 32, no. 3 (May 2021): 804–23. http://dx.doi.org/10.1287/orsc.2020.1408.
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Business models increasingly depend on inputs from outside traditional organizational boundaries. For example, platforms that generate revenue from advertising, subscription, or referral fees often rely on user-generated content (UGC). But there is considerable uncertainty on how UGC creates value—and who benefits from it—because voluntary user contributions cannot be mandated or contracted or its quality assured through service-level agreements. In fact, high valuations of these platform firms have generated significant interest, debate, and even euphoria among investors and entrepreneurs. Network effects underlie these high valuations; the value of participation for an individual user increases exponentially as more users actively participate. Thus, many platform strategies initially focus on generating usage with the expectation of profits later. This premise is fraught with uncertainty because high current usage may not translate into future profits when switching costs are low. We argue that the type of user-generated content affects switching costs for the user and, thus, affects the value a platform can capture. Using data about the valuation, traffic, and other parameters from several sources, empirical results indicate greater value uncertainty in platforms with user-generated content than in platforms based on firm-generated content. Platform firms are unable to capture the entire value from network effects, but firms with interaction content can better capture value from network effects through higher switching costs than firms with user-contributed content. Thus, we clarify how switching costs enable value for the platform from network effects and UGC in the absence of formal contracts.
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Mendes Filho, Luiz Augusto Machado, Felix B. Tan, and Annette Mills. "User-Generated Content and travel planning: An application of the Theory of Planned Behavior." Revista Brasileira de Pesquisa em Turismo 6, no. 3 (December 1, 2012): 280–89. http://dx.doi.org/10.7784/rbtur.v6i3.543.
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User-Generated Content (UGC) such as online travel reviews written by travelers and posted to virtual communities are being used more frequently to communicate travel-related information. UGC is therefore helping travelers to make decisions about their travel. Utilizing the Theory of Planned Behavior (TPB), which is one of the most comprehensive models explaining behavioral intention, this study contributes to the further development of theories of online consumer behavior by determining which factors are most important in relation to the use of UGC in the travel industry. The TPB has three independent determinants of behavioral intention: attitude toward the behavior, subjective norm, and perceived behavior control. Therefore the aim of this paper is to examine the roles of attitude, subjective norm and perceived behavior control in respect of travelers’ intention to use UGC when making travel plans.
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Soylemez, Kemal Cem. "Impact of individual and brand level factors in generation of different user-generated content." Journal of Consumer Marketing 38, no. 4 (June 8, 2021): 457–66. http://dx.doi.org/10.1108/jcm-12-2019-3521.
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Purpose This study aims to categorize user-generated content (UGC) based on the target audience, namely, brand-oriented content (BOC) and community-oriented content (COC). By using the equity theory, this study investigated how personal factors (motivations and self-construal) and brand/product factors (brand luxury) drive members to generate brand-oriented or COC. Design/methodology/approach Experimental studies were conducted with online brand community (OBC) participants who had been active in an OBC in the past 30 days. Findings Both in Studies 1 and 3, participants with an independent self-construal generated more BOC relative to COC, whereas participants with an interdependent self-construal generated more COC relative to BOC. In Study 1, extrinsically motivated participants generated more BOC relative to COC, whereas intrinsically motivated participants generated more COC relative to BOC. However, this finding was not confirmed in Study 3. In Study 2, the participants of luxury brand communities generated more COC relative to BOC, whereas participants of affordable brand communities generated more BOC relative to COC. However, this finding was not confirmed in Study 3. Practical implications This research provides marketing practitioners with an opportunity to focus on different motivation types in different contexts. The study also helps marketing departments understand the relationship between brand characteristics and UGC types. Finally, the insights of this study can also be useful in a brand extension context. Originality/value This study has constructed a better understanding of content generation in OBCs by categorizing UGC based on their target audience.
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Yoo, Bosul, Sotaro Katsumata, and Takeyasu Ichikohji. "The impact of customer orientation on the quantity and quality of user-generated content." Asia Pacific Journal of Marketing and Logistics 31, no. 2 (April 8, 2019): 516–40. http://dx.doi.org/10.1108/apjml-03-2018-0118.
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PurposeThe purpose of this paper is to examine the driving factors of user innovation behaviors using the case of smartphone applications to estimate the indirect and direct effects of consumers’ attitudes toward user-generated content (UGC).Design/methodology/approachThis study proposes a structural model to examine the relationship between user innovation behaviors toward UGC and three attitude factors: involvement, consumer knowledge and customer orientation. The empirical analysis is based on a consumer survey that examines the commonalities and differences between Japan and China. In each country, two social media services are chosen as representative cases of the UGC business model to measure user innovation behaviors toward the quality and quantity aspects.FindingsCustomer orientation is the most significant driving factor of user innovation behaviors toward UGC. It positively affects both the number of followers and the frequency of information transmissions. In particular, for the quality dimension of user innovation, customer orientation has a more significant effect on the number of followers than does familiarity.Originality/valueThis study emphasizes the quality aspect of user innovation. Previous research has focused on the quantity of user innovation behaviors by measuring the amount of information. However, this research measures both the quality and the quantity aspects with the number of followers and the frequency of uploading content. The findings of this study suggest that companies should maintain relationships with highly customer-oriented users to manage content quality.
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Koval, Svitlana. "How Cherkasy Online Media Utilize the Content Generated by Social Networks’ Users." Current Issues of Mass Communication, no. 19 (2016): 49–58. http://dx.doi.org/10.17721/2312-5160.2016.19.49-58.
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In this study we explore the user-generated content as one of the most unique tools of modern online environment. The user-generated content results from the interactivity with audience that becomes possible through the Web 2.0 technologies. Being accessible and affordable to the general audience, these technologies are widely applied by the users to independently create and share their own content. The objective of the research is to explore and substantiate the nature of the user-generated content (hereinafter UGC) phenomenon as a source of information for the online media. Being a multifunctional phenomenon UGC requires a comprehensive approach to the selection of research methods. We use the methods of analysis, synthesis, systematization, and comparison to explore the content samples from the wide range of sources including the citizen journalism, media activism, complicity journalism, and marketing. A method of observation let us identify the ways of including the user-generated content to the journalists’ publications; we also use the method of classification to distinguish the different forms of UGC. Results and Conclusions. The user-generated content is increasingly becoming popular, especially among the users of social networks. Media pay much attention to the UGC, encouraging its expansion. Different forms of social networks’ content, such as video, digital images, text, infographics and combined content are widely used by journalists to produce their own media products. Cherkasy online publishers take user-generated content from the Facebook and VKontakte social networks’ personal pages for different purposes including the following: as a newsbreak, as a main text, as an addition to the product, as an illustration, as special focus determination, as an exclusive, etc. The user-generated content does not replaces the professional journalistic products, but rather complements and expands them. Special attention should be paid to the verification of the user-generated content.
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Triono, Sunu Puguh Hayu, Ratih Huriyati, and Mokh Adib Sultan. "The Influence Of User-Generated Content To Consumer-Based Brand Equity Through Involvement In Indonesia's Top Brand Lipstic Consumer." Jurnal Manajemen Indonesia 21, no. 1 (April 26, 2021): 17. http://dx.doi.org/10.25124/jmi.v21i1.2461.
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Since 2000’s content marketing began to develop and become a buzzword lately. Nowadays, content marketing is a standard practice of business and one who do not use that will be left behind. The current democratization of information is expressed mainly through User-Generated Content (UGC), so that the media model becomes more user-centric. This study attempts to discuss the effect of UGC on consumer-based brand equity (CBBE) through involvement. UGC in this study is represented through variables that motivate it, namely co-creation, empowerment, community, and self-concept. The population in this study is Top Brand lipstick consumers who have watched the UGC of those brands. Data was collected using questionnaire that distributed online and 121 data were obtained. After analyzed using SEM PLS, the results are: 1) co-creation has positive effect on involvement; 2) self-concept has positive effect on involvement; 3) involvement has a positive effect on CBBE; 4) UGC has a substantial influence on involvement; 5) UGC and involvement have a moderate influence on CBBE.
Keywords— brand equity; consumer-based brand equity; content marketing; involvement; user-generated content
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Hanafiah, Mohd Hafiz, Adilah Md Zain, Muhammad Aliff Asyraff, and Ghifari Yuristiadhi Masyhari Makhasi. "THE ROLES OF TECHNOLOGY ACCEPTANCE, USER CREDIBILITY AND COVID-19 PERCEIVED HEALTH RISK IN TOURIST’S SOCIAL MEDIA USER-GENERATED-CONTENT USAGE INTENTION." ENLIGHTENING TOURISM. A PATHMAKING JOURNAL 12, no. 1 (June 6, 2022): 337–65. http://dx.doi.org/10.33776/et.v12i1.5427.
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This study examines the direct effects of technology acceptance (perceived usefulness and ease of use), trustworthiness, expertise, and the moderating effect of COVID-19 perceived health risk on tourists’ social media User-Generated-Content (UGC) usage intention. The study respondent was 233 Malaysian tourists who travelled domestically for leisure during the COVID-19 pandemic. The study hypotheses were examined using multiple regression analysis. The hypotheses testing indicates that perceived usefulness, ease of use, trustworthiness, and expertise significantly affect future usage of social media UGC. In addition, the findings confirm that perceived health risk does not affect the user trustworthiness and future usage of social media UGC. The findings assist tourism stakeholders in understanding tourist behaviour towards social media UGC, especially during the COVID-19 pandemic. The tourism business and policymakers should continuously improve and monitor their UGC platform, especially since UGC was deemed one of the vital information dissemination channels during the COVID-19 pandemic.
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Osborne, D. "User generated content (UGC): trade mark and copyright infringement issues." Journal of Intellectual Property Law & Practice 3, no. 9 (July 14, 2008): 555–62. http://dx.doi.org/10.1093/jiplp/jpn120.
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Zhou, Jieying. "The Advantages and Disadvantages of Introducing a New User-Generated Content Exception Into Copyright Legislation." Asian Journal of Social Science Studies 7, no. 8 (August 29, 2022): 48. http://dx.doi.org/10.20849/ajsss.v7i8.1267.
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User-generated content (UGC) has arose many arguments while thriving. It is important but difficult to keep a balance between encourage creation and tolerance of light infringement in the field of UGC. Introducing a new exception for UGC maybe a proper method to keep the balance which may lead uncertainty and lack of protection. On contrary, a future compulsory-licensing approach may play a better role to keep the balance. Compulsory-licensing poor provide right holder a platform to sharing their content and gain profits according to the policy of sharing economy. Besides, it also enables right holder to drop out from this sharing pool when the right holder aims to control the copyright as much as possible. This new licensing method can protect the copyright as well as encouraging the prosperity of UGC industry.
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Bakri, Marlini, Jayne Krisjanous, and James E. Richard. "Decoding service brand image through user-generated images." Journal of Services Marketing 34, no. 4 (February 13, 2020): 429–42. http://dx.doi.org/10.1108/jsm-11-2018-0341.
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Purpose Despite the growing number of studies surrounding user-generated content (UGC), understanding of the implications, potential and pertinence of user-generated images (UGI), the visual form of UGC, on brand image in services is limited. The purpose of this paper is to introduce the concept and a comprehensive framework of image word of mouth (IWOM), which identifies UGI as visual articulations of service experiences that result in consumer judgment of service brand image. The framework takes a consumer-focussed approach and covers key branding issues relevant to services marketers such as identifying and linking valued services dimensions, made evident through IWOM, to ideas and thoughts inferred by consumers (viewers) of the brand image and consequent consumer intentions. Design/methodology/approach The paper reviews and synthesises current services, marketing and branding literature surrounding electronic word of mouth (WOM) and UGC, where it highlights the need to consider interpretations of UGI as persuasive forms of visual WOM or IWOM, as well as a critical stimuli of brand image. Findings The paper illuminates the importance of adopting a visual perspective that applies constructs developed in cognitive psychology, to decode how viewers (consumers) interact and form associations of brand image via IWOM. Originality/value The paper examines, integrates and adds to extant literature surrounding WOM, UGC, visual images and brand image within services.
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Putri, Vania Jovita. "PENGARUH USER-GENERATED CONTENT (UGC) DAN KUALITAS PRODUK TERHADAP MINAT BELI KONSUMEN DAPUR MBOK SARMINAH." PERFORMA 5, no. 2 (September 24, 2020): 95–102. http://dx.doi.org/10.37715/jp.v5i1.1536.
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Latar belakang dari penelitian ini berdasarkan permasalahan pada penjualan dan hasilsurvei kepada calon konsumen Dapur Mbok Sarminah yang berada di kota Suabaya atas usergeneratedcontent (UGC), kualitas produk, dan minat beli terhadap konsumen Dapur MbokSarminah. Tujuan penelitian ini adalah untuk mengetahui apakah user-generated content dankualitas produk berpengaruh terhadap minat beli konsumen Dapur Mbok Sarminah. Populasidalam penelitian ini adalah 100 orang, sampel yang digunakan dalam penelitian ini sebanyak100 orang dengan teknik purposive sampling dengan kriteria orang yang mengetahui produkprodukDapur Mbok Sarminah dan yang pernah melakukan pembelian produk-produk DapurMbok Sarminah. Teknik pengumpulan data yang digunakan adalah menggunakan kuisioner dandianalisis dengan analisis kuantitatif dengan SPSS versi 20, sedangkan teknik analisis data yangdigunakan adalah menggunakan analisis regresi linier berganda. Hasil dari penelitian ini adalahvariabel user-generated content (UGC) (X1) dan variabel kualitas produk (X2) berpengaruhsignifikan positif terhadap minat beli konsumen Dapur Mbok Sarminah (Y).Kata kunci: User-Generated Content (UGC), Kualitas Produk, Minat Beli.
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Ramadhanty, Syarafina, Naila Amatullah, Niki Anane Setyadani, and Tasya Safiranita Ramli. "Doktrin Safe Harbor: Upaya Perlindungan Hak Cipta Konten Dalam Platform User Generated Content." Legalitas: Jurnal Hukum 12, no. 2 (December 23, 2020): 267. http://dx.doi.org/10.33087/legalitas.v12i2.226.
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Along with the rapid development of technology, social media platforms can be used to sharpen human creativity by uploading opinions, images, videos, sounds and so on as a form of user copyright. A digital platform that actively invites its users to upload copyrighted content is called the User Generated Content Platform ("UGC"). UGC's social media accounts are vying to be judged viral, so few accounts are 'stealing' content instead of his work in order to gain that reputation. Furthermore, the account is used commercially using a paid promote system or paid promotional services. This phenomenon often occurs on Instagram platforms with paid promotional systems that take Twitter content without permission. The purpose of this writing is to know the legal protection in the content of Twitter's UGC platform which is re-uploaded and monetized with a paid promotion system without rights on Instagram by Indonesian copyright law. Furthermore, the author carries the idea of providing protection to the UGC platform by applying the safeharbor doctrine in the event of copyright infringement by users of the platform. In reviewing this study, the authors used normative juridical approach methods, by examining literature as the main research material. The results of this study found that Twitter's re-uploaded and monetized User Generated Content platform content with a paid promotion system on Instagram has been protected by Indonesian copyright law in accordance with Law No. 28 of 2014 on Copyright reaffirmed in accordance with the safe Harbor doctrine contained in the Circular of the Minister of Communication and Informatics No. 5 of 201 on Restrictions on Responsibility of Platform Providers and Merchants of Electronic Commerce in the form of UGC.
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Івченко, Я. В., and І. Л. Побідаш. "User generated content як інструмент просування бренду в соціальних мережах." Обрії друкарства, no. 2(12) (December 31, 2022): 18–29. http://dx.doi.org/10.20535/2522-1078.2022.2(12).267940.
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У статті досліджено сутність поняття користувацький контент, його головні риси, переваги серед інших способів просування в соціальних мережах у загальній стратегії просування компанії, а також надано практичні рекомендації щодо використання UGС.
Наукова новизна дослідження полягає в тому, що вперше в українському науковому просторі наведено загальні вимоги та основні правила для використання UGC у соціальних мережах, надано практичні рекомендації щодо підготовки сторінки бренду перед залученням аудиторії до створення користувацького контенту.
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Choi, Yeon Jae, and Sanghak Lee. "자기노출 성향이 UGC 마케팅 커뮤니케 이션에 미치는 영향." KOREAN JOURNAL OF ADVERTISING 32, no. 6 (August 30, 2021): 97–118. http://dx.doi.org/10.14377/kja.2021.8.30.97.
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Zeng, Jiaheng, and Kyu-hwan Choi. "A study of Chinese Visitors" Intentions to Use UGC(User Generated Content) Platform Based on UTAUT." Journal of Tourism and Leisure Research 34, no. 8 (August 31, 2022): 159–75. http://dx.doi.org/10.31336/jtlr.2022.8.34.8.159.
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Mulyawan, Iwan, Wahyu Rafdinal, Cahaya Juniarti, and Sharnuke Asrilsyak. "Do vocational colleges need social media? The Role of Firm and User Generated Content." Journal of Business and Management Review 3, no. 3 (March 25, 2022): 229–51. http://dx.doi.org/10.47153/jbmr33.3492022.
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The purpose of this paper is to investigate the role of social media in firm generated content (FGC) and user generated content (UGC) which bring impacts on perceived value and two types of intention, namely the intention to follow on social media and the intention to enrol in vocational colleges. Online survey was applied to collect the data from 452 respondents. The hypotheses were tested empirically using a variance-based structural equation model. The results point out that FGC and UGC are positively and significantly influential towards value. Perceived value discovered is influential significantly towards the consumers’ intention to follow social media, while UGC holds the highest importance compared to other constructs. Those results manifest the role of marketing in social media in which it will eventually influence the intention to follow on social media and to enrol in vocational colleges. These will give the inputs to the institutions to arrange social media contents which are able to increase the intention to follow in which it also boosts the intention to enrol. This research also adds the existing knowledge about the role of social media towards the intention to enrol.
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Bernardino, Susana, J. Freitas Santos, José Cadima Ribeiro, and André Freitas. "Determinants of the Effective Use of UGC (User-Generated Content) on Hotel Room Bookings by Portuguese Travellers." International Journal of Online Marketing 10, no. 2 (April 2020): 30–43. http://dx.doi.org/10.4018/ijom.2020040103.
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The presence of user generated content (UGC) on online platforms of hotel room booking operators is changing the way consumers book a hotel room. After a critical evaluation of the technology acceptance models (TAM), the authors discuss the variables that will be employed to predict the effective use of online hotel room bookings by Portuguese travellers. The empirical investigation consists of a linear regression model that was built in order to analyse the data obtained from an online survey of 624 customers of the website Booking.com. The results showed that attitude towards UGC and the perceived ease to use of UGC are important determinants on the buyer's decision-making process of booking a hotel room. This result shows the relevance of UGC (ratings and reviews) for online booking operators, as UGC could influence the booking of a particular hotel room. Further, the result also brings important implications for hotel managers that pay less attention to the feedback of the customers.
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Rauchfleisch, Adrian, Xenia Artho, Julia Metag, Senja Post, and Mike S. Schäfer. "How journalists verify user-generated content during terrorist crises. Analyzing Twitter communication during the Brussels attacks." Social Media + Society 3, no. 3 (July 2017): 205630511771788. http://dx.doi.org/10.1177/2056305117717888.
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Social media, and Twitter in particular, have become important sources for journalists in times of crises. User-generated content (UGC) can provide journalists with on-site information and material they otherwise would not have access to. But how they source and verify UGC has not yet been systematically analyzed. This study analyzes sourcing and verification practices on Twitter during the Brussels attacks in March 2016. Based on quantitative content analysis, we identified (1) the journalists and news organizations sourcing during the attacks, (2) classified different forms of sourcing and verification requests, and (3) analyzed the sourced UGC. Results show that sourcing on Twitter has become a global phenomenon. During the first hours of the attack, journalists rely on UGC. Their sourcing and verification practices vary widely and often lack basic verification procedures, which leads to a discussion about the ethical implications of sourcing practices.
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Meneghello, James, Nik Thompson, Kevin Lee, Kok Wai Wong, and Bilal Abu-Salih. "Unlocking Social Media and User Generated Content as a Data Source for Knowledge Management." International Journal of Knowledge Management 16, no. 1 (January 2020): 101–22. http://dx.doi.org/10.4018/ijkm.2020010105.
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The pervasiveness of social media and user-generated content has triggered an exponential increase in global data. However, due to collection and extraction challenges, data in embedded comments, reviews and testimonials are largely inaccessible to a knowledge management system. This article describes a KM framework for the end-to-end knowledge management and value extraction from such content. This framework embodies solutions to unlock the potential of UGC as a rich, real-time data source. Three contributions are described in this article. First, a method for automatically navigating webpages to expose UGC for collection is presented. This is evaluated using browser emulation integrated with automated collection. Second, a method for collecting data without any a priori knowledge of the sites is introduced. Finally, a new testbed is developed to reflect the current state of internet sites and shared publicly to encourage future research. The discussion benchmarks the new algorithm alongside existing techniques, providing evidence of the increased amount of UGC data extracted.
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Kwon, Seung-Tae. "Visual identity of Youtube User Generated Contents." Journal of Art and Culture Studies 22 (April 30, 2022): 179–99. http://dx.doi.org/10.18707/jacs.2022.04.22.179.
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Khwileh, Ahmad, Debasis Ganguly, and Gareth J. F. Jones. "Utilisation of Metadata Fields and Query Expansion in Cross-Lingual Search of User-Generated Internet Video." Journal of Artificial Intelligence Research 55 (January 27, 2016): 249–81. http://dx.doi.org/10.1613/jair.4775.
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Recent years have seen significant efforts in the area of Cross Language Information Retrieval (CLIR) for text retrieval. This work initially focused on formally published content, but more recently research has begun to concentrate on CLIR for informal social media content. However, despite the current expansion in online multimedia archives, there has been little work on CLIR for this content. While there has been some limited work on Cross-Language Video Retrieval (CLVR) for professional videos, such as documentaries or TV news broadcasts, there has to date, been no significant investigation of CLVR for the rapidly growing archives of informal user generated (UGC) content. Key differences between such UGC and professionally produced content are the nature and structure of the textual UGC metadata associated with it, as well as the form and quality of the content itself. In this setting, retrieval effectiveness may not only suffer from translation errors common to all CLIR tasks, but also recognition errors associated with the automatic speech recognition (ASR) systems used to transcribe the spoken content of the video and with the informality and inconsistency of the associated user-created metadata for each video. This work proposes and evaluates techniques to improve CLIR effectiveness of such noisy UGC content. Our experimental investigation shows that different sources of evidence, e.g. the content from different fields of the structured metadata, significantly affect CLIR effectiveness. Results from our experiments also show that each metadata field has a varying robustness to query expansion (QE) and hence can have a negative impact on the CLIR effectiveness. Our work proposes a novel adaptive QE technique that predicts the most reliable source for expansion and shows how this technique can be effective for improving the CLIR effectiveness for UGC content.
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Jin, Cheng, Jianquan Cheng, and Jing Xu. "Using User-Generated Content to Explore the Temporal Heterogeneity in Tourist Mobility." Journal of Travel Research 57, no. 6 (July 21, 2017): 779–91. http://dx.doi.org/10.1177/0047287517714906.
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In tourism studies, new means of data collection are opening up opportunities for disclosing hidden mobility patterns. This paper aims to analyze and model the tourist flow networks for different lengths of trip on urban scale, using user generated content (UGC) data collated from an open tourism web service. The textual UGC data, with high spatial and temporal resolution, is utilized to construct three tourist flow networks in response to length of trips. Social network analysis and a revised spatial interaction model are deployed for exploring the temporal heterogeneity in the tourist movements. This empirical study from Nanjing City has further confirmed the power law of distance decay in intraurban tourist mobility. Furthermore, the research reveals temporal variations with length of trip. The paper highlights the role of time in the tourism study through incorporating a temporal dimension into the analyses and taking advantage of the availability of new data.
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Poon, Damon Chi Him, and Louis Leung. "Effects of Narcissism, Leisure Boredom, and Gratifications Sought on User-Generated Content Among Net-Generation Users." International Journal of Cyber Behavior, Psychology and Learning 1, no. 3 (July 2011): 1–14. http://dx.doi.org/10.4018/ijcbpl.2011070101.
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This research identifies the gratifications sought by the Net-generation when producing user-generated content (UGC) on the internet. Members of the Net-generation want to vent negative feelings, show affection to their friends and relatives, be involved in others’ lives, and fulfill their need to be recognized. These gratifications, to a large degree, were found to be significantly associated with the users’ various levels of participation in UGC (e.g., Facebook, blogs, online forums, etc.). What’s more, narcissism was predictive of content generation in social networking sites, blogs, and personal webpages, while leisure boredom was significantly linked to expressing views in forums, updating personal websites, and participating in consumer reviews. In particular, the results showed that Net-geners who encountered leisure boredom had a higher tendency to seek interaction with friends online. Implications of findings are discussed.
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Tu, Zhengzhong, Yilin Wang, Neil Birkbeck, Balu Adsumilli, and Alan C. Bovik. "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content." IEEE Transactions on Image Processing 30 (2021): 4449–64. http://dx.doi.org/10.1109/tip.2021.3072221.
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Afify, Esraa, Ahmed Sharaf Eldin, Ayman E. Khedr, and Fahad Kamal Alsheref. "User-Generated Content (UGC) Credibility on Social Media Using Sentiment Classification." النشرة المعلوماتیة فی الحاسبات والمعلومات 1, no. 1 (January 19, 2019): 1–19. http://dx.doi.org/10.21608/fcihib.2019.107506.
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Singh, Harmanjit, and Somnath Chakrabarti. "Defining the relationship between consumers and retailers through user-generated content: insights from the research literature." International Journal of Retail & Distribution Management 49, no. 1 (September 7, 2020): 41–60. http://dx.doi.org/10.1108/ijrdm-03-2020-0080.
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PurposeThe purpose ofthis study is to synthesise the findings of existing research on brand-related user-generated content (UGC) in the context of fashion retail and to come up with future research directions.Design/methodology/approachA systematic literature review of 33 research papers, selected using well-defined criteria, was done. Further, the thematic analysis identified underlying themes and their inter-linkages.FindingsThe inter-linkages of 12 emergent themes were showcased in the form of a causal-chain conceptual framework, highlighting antecedents, mediators, moderators and consequences.Research limitations/implicationsFuture research involves six directions, and researchers should empirically test out the proposed conceptual framework and take the given research directions forward.Practical implicationsRetailers should understand UGC motivators to launch targeted campaigns to amplify UGC with firm-generated content and increase overall engagement and sales of a brand.Originality/valueFirst, this study fills the gap of missing synthesis of existing studies on UGC about fashion retail by analysing the publication distribution, paper types, data collection tools and techniques and data analysis methods. Second, the authors have proposed a causal-chain conceptual framework based upon thematic analysis of the research literature. The emergent themes touch upon three crucial aspects of marketing on enabling technology, consumer behaviour and marketing tactics. Finally, the academic contribution of this study lies in coming up with six vital research agenda for future research.
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Nguyen, Chi T. K., and Jusik Park. "Understanding Brand-Related Content Consumption: The Role of Source of Content, Persuasive Knowledge, and Product Type." Korea International Trade Research Institute 18, no. 5 (October 31, 2022): 93–113. http://dx.doi.org/10.16980/jiyc.22.5.202210.93.
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Purpose - This study applies the Stimulus-Organism-Response (S-O-R) theory to investigate how source of content (firm- and user-generated content) impacts content-consumption, which is mediated by persuasive knowledge. While prior studies treat persuasive knowledge as a unidimensional construct, this study addresses two dimensions of persuasive knowledge (conceptual and attitudinal). Lastly, this study explores different effects of user-generated content related to different product types (utilitarian and hedonic) on persuasive knowledge
Design/Methodology/Approach - Three conditions of stimuli are designed to test our hypotheses with 214 participants familiar with brand-related content posted on Facebook. An independent t-test, MANOVA, and PROCESS are employed in this study.
Findings - The results show that FGC stimulates more conceptual persuasive knowledge than UGC. By contrast, consumers perceive UGC to be more appropriate and tend to like UGC more than FGC. In addition, this study finds that two dimensions of persuasive knowledge mediate the relationship between source of content and consumer content consumption. Regarding UGC, this study shows that compared to hedonic products, UGC regarding utilitarian products evokes consumers to infer persuasive intent and decreases perceived appropriateness.
Research Implications - This study sheds light on proving a relevant application of the S-O-R theory and regulatory theory to propose a holistic framework to help better understand the relationship between source of content, product types, persuasive knowledge, and content-consumption in the context of Facebook.
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Li, Shugang, Fang Liu, Yuqi Zhang, Boyi Zhu, He Zhu, and Zhaoxu Yu. "Text Mining of User-Generated Content (UGC) for Business Applications in E-Commerce: A Systematic Review." Mathematics 10, no. 19 (September 29, 2022): 3554. http://dx.doi.org/10.3390/math10193554.
Full textAbstract:
In the Web2.0 era, user-generated content (UGC) provides a valuable source of data to aid in understanding consumers and driving intelligent business. Text mining techniques, such as semantic analysis and sentiment analysis, help to extract meaningful information embedded in UGC. However, research on text mining of UGC for e-commerce business applications involves interdisciplinary knowledge, and few studies have systematically summarized the research framework and application directions of related research in this field. First, based on e-commerce practice, in this study, we derive a general framework to summarize the mainstream research in this field. Second, widely used text mining techniques are introduced, including semantic and sentiment analysis. Furthermore, we analyze the development status of semantic analysis in terms of text representation and semantic understanding. Then, the definition, development, and technical classification of sentiment analysis techniques are introduced. Third, we discuss mainstream directions of text mining for business applications, ranging from high-quality UGC detection and consumer profiling, to product enhancement and marketing. Finally, research gaps with respect to these efforts are emphasized, and suggestions are provided for future work. We also provide prospective directions for future research.
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Shepherd, Tamara. "Persona Rights for User-Generated Content: A Normative Framework for Privacy and Intellectual Property Regulation." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 10, no. 1 (February 16, 2012): 100–113. http://dx.doi.org/10.31269/triplec.v10i1.305.
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This article introduces the term “persona rights” as a normative conceptual framework for analyzing the language of regulatory debates around privacy and intellectual property online, mainly from a Canadian perspective. In using the concept of persona rights to interrogate and critique the current limitations of regulatory discourses in protecting user rights online, the legal implications of persona rights law are translated into more conceptual terms. As a normative framework, persona rights is shown to be useful in addressing the gaps in regulatory understandings of privacy and intellectual property – particularly in spaces for user-generated content (UGC) – and in suggesting how policy might be written to account for user rights to the integrity of identity in commercial UGC platforms.