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Journal articles on the topic 'User-generated content analysis'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

K., Yogeswara Rao. "Deep Learning-based Aspect-Level Sentiment Analysis of User-Generated Content." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (2020): 1457–65. http://dx.doi.org/10.5373/jardcs/v12sp4/20201624.

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Cheng, Li-Chen, Kuanchin Chen, Ming-Chu Lee, and Kua-Mai Li. "User-Defined SWOT analysis – A change mining perspective on user-generated content." Information Processing & Management 58, no. 5 (2021): 102613. http://dx.doi.org/10.1016/j.ipm.2021.102613.

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Barreda, Albert, and Anil Bilgihan. "An analysis of user‐generated content for hotel experiences." Journal of Hospitality and Tourism Technology 4, no. 3 (2013): 263–80. http://dx.doi.org/10.1108/jhtt-01-2013-0001.

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Del Chiappa, Giacomo, Carlota Lorenzo-Romero, and Efthymios Constantinides. "Disintermediation and User-generated Content: A Latent Segmentation Analysis." Procedia - Social and Behavioral Sciences 148 (August 2014): 524–32. http://dx.doi.org/10.1016/j.sbspro.2014.07.075.

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Ingawale, Myshkin, Amitava Dutta, Rahul Roy, and Priya Seetharaman. "Network analysis of user generated content quality in Wikipedia." Online Information Review 37, no. 4 (2013): 602–19. http://dx.doi.org/10.1108/oir-03-2011-0182.

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Naab, Teresa K., and Annika Sehl. "Studies of user-generated content: A systematic review." Journalism 18, no. 10 (2016): 1256–73. http://dx.doi.org/10.1177/1464884916673557.

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This article presents a review of communication research on user-generated content with a special focus on studies which include a content analysis. The trends of research on this comparatively new and rapidly developing subject are systematically discussed and desiderata are identified. The evaluation is based on a content analysis of pertinent approaches in nine relevant international peer-reviewed journals published from 2004 to 2012. From the results, the article concludes that user-generated content is approached by scholars from a variety of perspectives and offers scope for interdiscipl

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Siregar, Batara Nobon, Ari Sulistyanto, Hamida Syari Harahap, Wichitra Yasya, and Dwinarko Dwinarko. "Research Trend of User-Generated Content in Tourism." Dinasti International Journal of Education Management And Social Science 5, no. 5 (2024): 1362–73. https://doi.org/10.38035/dijemss.v5i5.2797.

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The habit of sharing travel experiences on social media is increasingly attached to modern life today, making the theme of User Generated Content (UGC) in tourism never be uninteresting topic to research. Research on UGC in tourism grew 30.31% over the last 10 years. This study uses a bibliometric approach to analyze the database from Scopus with the keyword "User Generated Content" AND Tourism, in the period 2014 – 2023. 504 documents were found from the database and use PRISMA to select, narrowing it down to 321 documents that were used as units of analysis. The application "Biblioshiny R pa

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Na, Jin-Cheon, and Wai Yan Min Kyaing. "Sentiment Analysis of User-Generated Content on Drug Review Websites." Journal of Information Science Theory and Practice 3, no. 1 (2015): 6–23. http://dx.doi.org/10.1633/jistap.2015.3.1.1.

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Daiya, Abhinita, and Subhadip Roy. "User and Firm Generated Content on Online Social Media." International Journal of Online Marketing 6, no. 3 (2016): 34–49. http://dx.doi.org/10.4018/ijom.2016070103.

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Social media communication content has gained a lot of interest in e-commerce literature. The present research note explores the scope of social media communication content across content source and levels of analysis. Based on a comprehensive review of 36 empirical papers spanning a decade (2004-2016), the research in social media content source is divided as user generated and firm generated. The levels of analysis are divided into three groups: users and society, platforms and intermediaries and firms and industries. Subsequently, a grid with six cells is created that has the content source

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Xu, Qinqing. "Copyright ownership of user-generated content in games." Journal of Gaming & Virtual Worlds 15, no. 2 (2023): 143–59. http://dx.doi.org/10.1386/jgvw_00077_1.

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An increasing number of games provide players with freedom to participate within the game world. Using , a world-famous game developed by Nintendo, as a case study, this article discusses the copyright ownership issues of player-created works in China. Although gaming companies hold intellectual property of gaming software, the copyright ownership of user-generated content still needs clarification. The article reviews the framework of copyright protection in China, followed by an analysis of courts’ interpretation of originality that is required for copyright protection. The user agreement be

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Farrel, Muhammad, Ade Romadhony, and Hasmawati Hasmawati. "Content and Context Based Analysis of University Social Media Engagement." JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 9, no. 4 (2022): 3227–37. http://dx.doi.org/10.35957/jatisi.v9i4.2696.

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Social media has become an essential tool for institutions to create interactions with their users. Creating successful and relevant material for social media content is challenging as institutions struggle to comprehend what drives user engagement. Using analytics on user-generated social media material to determine the relation between post features and user engagement becomes a method for overcoming this challenge. In this study, engagement is measured based on a quantitative approach to the number of likes and comments. We applied machine learning algorithm to extract contextual features (

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Galib, Mohammad Hasan, Hadeel AL-Haddad, Amjad Al-Amad, Khaled Qassem Hailat, and Saleh Bazi. "Determinants of Customer Engagement: Role of User-Generated Content." International Journal of Electronic Commerce Studies 14, no. 3 (2023): 69–88. http://dx.doi.org/10.7903/ijecs.2245.

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This study aims to investigate the role of User-Generated Content (UGC) in customer engagement by identifying the factors that influence customer engagement on social commerce sites. Data (n=307) were collected through an online survey. The data analysis was done through factor analysis and multiple regression. The research model was developed using Ducoffe’s [1] model. The result of data analysis reveals that Informativeness, Credibility, Relevancy, and Irritation of the UGC influence people’s perception of the value of the UGC, which will eventually lead to customer engagement intention. Ent

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Ma, Zirui, and Bin Gu. "The influence of firm-Generated video on user-Generated video: Evidence from China." International Journal of Engineering Business Management 14 (January 2022): 184797902211186. http://dx.doi.org/10.1177/18479790221118628.

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We examined the impact of firm-generated content on firm-related user-generated content. Researches have proven that firm-related user-generated content impacts firm revenue. Therefore, it is necessary to determine what factors stimulate the creation of firm-related user-generated content. Creating user-generated videos related to companies (e.g. E-sports) on Chinese online video platforms often includes the use of firm-generated videos as material. It may suggest that firm-generated content may play an essential role in influencing Internet users to create firm-related user-generated content.

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Harsandaldeep Kaur. "The Influence of User-Generated Content on E-Commerce Sales: A Meta-Analysis." Innovative Research Thoughts 10, no. 3 (2024): 33–40. http://dx.doi.org/10.36676/irt.v10.i3.1418.

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User-generated content (UGC) has become a common element of e-commerce platforms, with customers increasingly depending on reviews, ratings, and other kinds of UGC to make purchase choices. While the effect of user-generated content (UGC) on e-commerce sales is generally acknowledged, its quantity and consistency are still debated. This meta-analysis combines data from previous research studies to give a full knowledge of the link between user-generated content and e-commerce sales. Using a variety of empirical research and theoretical frameworks, we investigate the implications of UGC qualiti

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Zhe, Chen, and Prakaikavin Srijinda. "The impact of AI-generated content on content consumption habits of Chinese social media users through Xiaohongshu application." Edelweiss Applied Science and Technology 8, no. 6 (2024): 1504–16. http://dx.doi.org/10.55214/25768484.v8i6.2268.

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This study aims to analyze the effects of artificial intelligence-generated content and human-generated content on user cognition, interaction and satisfaction in Xiaohongshu application. The samples are 500 active Xiaohongshu users in China's first - and second-tier cities, including white-collar workers, students, freelancers selected through multi-stage random sampling. The research instrument is a questionnaire. Data were analyzed by statistical methods such as multiple linear regression analysis, T-test and Pearson correlation analysis were used to compare the differences between AI-gener

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Babin, Jessica, and John Hulland. "Exploring online consumer curation as user-generated content." Spanish Journal of Marketing - ESIC 23, no. 3 (2019): 325–38. http://dx.doi.org/10.1108/sjme-07-2019-0053.

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Purpose Some consumers are engaged in online curation, a type of user-generated content, in ways that can be impactful for brands. An example of online curation includes organizing themed collections of product images on Pinterest. The purpose of this paper is to present a framework of online consumer curation, introducing this topic to the marketing literature. Design/methodology/approach Through the analysis of the business and academic literature, as well as a careful study of many examples of online consumer curation, the authors present a framework for understanding online consumer curati

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Zhenyu Li, Jiali Lin, K. Salamatian, and Gaogang Xie. "Social Connections in User-Generated Content Video Systems: Analysis and Recommendation." IEEE Transactions on Network and Service Management 10, no. 1 (2013): 70–83. http://dx.doi.org/10.1109/tnsm.2012.100512.120233.

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Marine-Roig, Estela, and Salvador Anton Clavé. "A detailed method for destination image analysis using user-generated content." Information Technology & Tourism 15, no. 4 (2015): 341–64. http://dx.doi.org/10.1007/s40558-015-0040-1.

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Rasool, Gowhar, and Anjali Pathania. "Reading between the lines: untwining online user-generated content using sentiment analysis." Journal of Research in Interactive Marketing 15, no. 3 (2021): 401–18. http://dx.doi.org/10.1108/jrim-03-2020-0045.

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PurposeOne of the major challenges within the airline industry is to keep pace with the changing customer perception toward their service quality. This paper aims to demonstrate how sentiment analysis of user-generated big data can be used to research airline service quality as a more comprehensive alternative to other survey-based models by investigating real-time passenger insights.Design/methodology/approachThe present research uses the case of Indigo airlines by studying passenger's trip advisor reviews regarding the low-cost commercial airline service. The authors analyzed 1,777 passenger

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Wang, Jiayi. "TikTok under Marketing Saturation: Comprehensive Analysis of User-Generated Content (UGC) Marketing." Advances in Economics, Management and Political Sciences 85, no. 1 (2024): 85–91. http://dx.doi.org/10.54254/2754-1169/85/20240848.

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In the current information-rich digital marketing environment, TikTok is a rapidly growing social media platform, and its user base has exceeded 1.562 billion in January 2024. However, with the over-saturation of brand-generated content and social media advertising, consumers attention to brand-generated information has shown a downward trend. Gradually, user-generated content (UGC) has become a mature marketing paradigm in recent years. UGC relies on users' creativity and subjective preference, entirely in contrast to the brand's official content, and can better stimulate consumers' interest

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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 int

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Imanulrachman, Akbar. "Developing Marketing Strategy for User-Generated Content: Study Case for Company X." Jurnal Indonesia Sosial Sains 5, no. 10 (2024): 2710–15. http://dx.doi.org/10.59141/jiss.v5i10.1470.

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This study investigates strategies to enhance user-generated content (UGC) growth for Company X, a part of Company X, to address the declining trend in UGC contributions and increasing operational costs. The study employs a qualitative methodology, including in-depth interviews with Company X users and content creators, to identify user personas, motivations, and preferences. External analyses such as PESTEL, competitive analysis, and internal SWOT analysis are used to frame the problem. The results suggest that enhancing the reward system, aligning incentives with user expectations, and impro

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Anas, Zakaria, and Siallagan Manahan. "Predicting Customer Satisfaction through Sentiment Analysis on Online Review." International Journal of Current Science Research and Review 06, no. 01 (2023): 515–22. https://doi.org/10.5281/zenodo.7565720.

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<strong>ABSTRACT: </strong>User-generated content, such as user reviews, posts, tags, ratings, and opinions on the internet, can be used as a business indicator if collected and appropriately analyzed. One of the examples is predicting customer satisfaction through implementing big data analytics on online reviews. In analyzing the user-generated content to predict customer satisfaction, the author implements machine learning approach using the Sentiment Analysis method. Five-fold cross-validation was performed to train the classification model. The training was performed with a combination of

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Joshi, Mr Harshwardhan. "An Analysis of User-Generated Content and Its Impact on E-Commerce." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04253.

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Abstract User-Generated Content (UGC) has become a cornerstone of modern e-commerce strategies, influencing consumer behavior, trust, and brand perception. This paper investigates the role of UGC in the Indian e-commerce landscape, analyzing its impact on purchase decisions, customer loyalty, and brand authenticity. Through a mixed-method approach, including surveys and secondary data analysis, the study explores various UGC formats such as reviews, testimonials, and influencer content. The findings indicate that UGC significantly enhances consumer trust and engagement, though challenges relat

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Nabilahpurba, Nabilahpurba, Fauzi Arif Lubis, and Nurbaiti Nurbaiti. "USER GENERATED CONTENT ANALYSIS AND MARKETING STRATEGIES AND THEIR IMPLICATIONS IN THE EXISTENCE OF AIR PHILM (Case Study: KKN Film in Danari Village)." Moneter: Jurnal Keuangan dan Perbankan 11, no. 2 (2023): 228–38. http://dx.doi.org/10.32832/moneter.v11i2.381.

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The research aims to analyze the extent to which the role of user generated content in developing marketing strategies as Internet technology progresses as well as the implications of the application of user-generated content into the existence of home films. The research method used is a qualitative method with a descriptive scale that uses a case study approach. Data collection in this study was obtained through the observation of literature sources and other documentation related to consumer interest in making purchasing decisions. The results show that user generated content plays an impor

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Fichnová, Katarína, and Lucia Spálová. "Participative Art Marketing Communication and Creativity of User-generated Content." Central European Journal of Communication 16, no. 1(33) (2023): 117–32. http://dx.doi.org/10.51480/1899-5101.16.1(33).7.

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This paper deals with participatory communication in the field of the promotion of cultural institutions. Creativity is an important factor in the success and effectiveness of marketing communication. This phenomenon has not yet been explored in relation to the creativity of user-generated content. This research addresses the question of whether creativity is a significant factor in the success of UGC (user generated content). Analysis of the outputs generated by the recipients of the communication issued by the Getty Museum in Los Angeles – and their interpretation of the works of art availab

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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 (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 stu

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KECHAOU, ZIED, MOHAMED BEN AMMAR, and ADEL M. ALIMI. "A MULTI-AGENT BASED SYSTEM FOR SENTIMENT ANALYSIS OF USER-GENERATED CONTENT." International Journal on Artificial Intelligence Tools 22, no. 02 (2013): 1350004. http://dx.doi.org/10.1142/s0218213013500048.

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The recent years have been marked by a rapid growth in the World Wide Web 2.0 applications such as blog posts, forums, mailing lists, and product-review websites. As a result, a special sentiment analysis field has sprung up relevant to the issue of people's responses to the diversity of available subjects. Hence, one might well wonder: how do people feel and react when dealing with certain topics? In this paper, a new automatic sentiment-processing model has been advanced, whereby the current problems faced by the prevalent existing models can be deciphered and more properly treated. The sugg

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Safran, Christian, and Frank Kappe. "Success Factors in a Weblog Community." JUCS - Journal of Universal Computer Science 14, no. (4) (2008): 546–56. https://doi.org/10.3217/jucs-014-04-0546.

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User generated content published via weblogs (also known as blogs) has gained importance in the last years, and the number of globally available weblogs increases. However, a large fraction of these show low publishing activity and are rarely read. This paper is a quantitative analysis of success factors in a community of over 15.000 weblogs, hosted by a local Austrian newspaper. We looked at publishing activity by content type, community activity and writing style. Also, the interconnectedness of the community was analyzed.

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Kumar, Harish, Manoj Kumar Singh, and M. P. Gupta. "Socio-influences of user generated content in emerging markets." Marketing Intelligence & Planning 36, no. 7 (2018): 737–49. http://dx.doi.org/10.1108/mip-12-2017-0347.

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Purpose The purpose of this paper is to conceptualize the influencing characteristics of user-generated content over perceived structure of social platforms to plan various business practices to improve the social commerce activities especially in emerging markets. Design/methodology/approach In first step, key factors are identified from the systematic literature studies and experts’ opinion. Second, total interpretive structural modeling is used to interpret the complexity of relationships among various factors. Further, fuzzy-MICMAC analysis is used to determine the most driving factors to

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Cricri, Francesco, Kostadin Dabov, Mikko J. Roininen, Sujeet Mate, Igor D. D. Curcio, and Moncef Gabbouj. "Multimodal Semantics Extraction from User-Generated Videos." Advances in Multimedia 2012 (2012): 1–17. http://dx.doi.org/10.1155/2012/292064.

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User-generated video content has grown tremendously fast to the point of outpacing professional content creation. In this work we develop methods that analyze contextual information of multiple user-generated videos in order to obtain semantic information about public happenings (e.g., sport and live music events) being recorded in these videos. One of the key contributions of this work is a joint utilization of different data modalities, including such captured by auxiliary sensors during the video recording performed by each user. In particular, we analyze GPS data, magnetometer data, accele

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Dana, Hafid Lintas, Indah Fatmawati, and Siti Dyah Handayani. "Trends UGC and Engagement: Bibliometric Analysis." International Research Journal of Multidisciplinary Scope 05, no. 04 (2024): 69–81. http://dx.doi.org/10.47857/irjms.2024.05i04.01152.

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This study intends to analyze research trends in user-generated content and engagement on social media for the five years leading up to 2024 in response to the growing interest of firms and academics in transitioning to digital marketing. This evaluation employed a bibliometric literature review and analysis to chart the development of the field from 2019 to 2023. Two hundred fifty-four papers were obtained from the original title search results using the Scopus engine. To create and examine network visualizations of user-generated content and engagement trends, the data is exported in CSV for

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Pippig, Karsten, Dirk Burghardt, and Nikolas Prechtel. "Semantic similarity analysis of user-generated content for theme-based route planning." Journal of Location Based Services 7, no. 4 (2013): 223–45. http://dx.doi.org/10.1080/17489725.2013.804214.

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Li, Junyi. "Legal Analysis of Issues Related to User-Generated Content in Derivative Works." International Journal of Social Sciences and Public Administration 4, no. 3 (2024): 71–77. http://dx.doi.org/10.62051/ijsspa.v4n3.11.

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In the information age, the barriers to individual creative production have significantly lowered, leading to new developments in the arts, while also giving rise to various legal issues. One such challenge lies in defining originality and the boundaries of infringement in derivative works. This is especially problematic on user-generated content (UGC) platforms, where new forms of creative expression, such as video mashups, lack clear standards for determining infringement. By comparing international practices and considering the specific context of China, this paper seeks to balance the inte

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Cahyani, Andharini Dwi. "Aspect-Based Sentiment Analysis from User-Generated Content in Shopee Marketplace Platform." Jurnal Ilmiah Teknik Elektro Komputer dan Informatika 9, no. 2 (2023): 444–54. https://doi.org/10.26555/jiteki.v9i2.26367.

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A number of businesses, such as TripAdvisor, Open Table, and Yelp, have successfully utilized aspect-based sentiment analysis in order to gain insights from reviews provided by customers and enhance the quality of their goods or services. Businesses are able to swiftly discover any unfavorable sentiment or possible harm to their brand when they analyze client input across numerous aspects from social media, online reviews, and conversations with customer care representatives. This study aims to explain how aspect-based semantic analysis of market-collected user-generated data through performan

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Parikh, Anish A., Carl Behnke, Barbera Almanza, Doug Nelson, and Mihaela Vorvoreanu. "Comparative content analysis of professional, semi-professional, and user-generated restaurant reviews." Journal of Foodservice Business Research 20, no. 5 (2016): 497–511. http://dx.doi.org/10.1080/15378020.2016.1219170.

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Confente, Ilenia, Giorgia Giusi Siciliano, Barbara Gaudenzi, and Matthias Eickhoff. "Effects of data breaches from user-generated content: A corporate reputation analysis." European Management Journal 37, no. 4 (2019): 492–504. http://dx.doi.org/10.1016/j.emj.2019.01.007.

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Ghosh, Arpita, and Patrick Hummel. "A game-theoretic analysis of rank-order mechanisms for user-generated content." Journal of Economic Theory 154 (November 2014): 349–74. http://dx.doi.org/10.1016/j.jet.2014.09.009.

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Rizki Hardiana, Shely, Vynska Amalia Permadi, Dian Indri Purnamasari, and Sri Hastuti. "Accessibility and Tourist Satisfaction in Yogyakarta’s Museums: A User-Generated Content Analysis." SHS Web of Conferences 212 (2025): 04028. https://doi.org/10.1051/shsconf/202521204028.

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Urban tourism, characterised by its diverse offerings and accessibility, has gained significant attention. Museums, as prominent cultural and experiential attractions, play a crucial role in shaping urban tourism experiences. This study investigates the relationship between accessibility and museum tourist satisfaction, focusing on understanding how accessibility influences visitor experiences. By analysing 1,000 data points from a user-generated content platform using linear regression, this research explores the impact of accessibility components, such as accessibility for people with disabi

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Haralabopoulos, Giannis, Ioannis Anagnostopoulos, and Derek McAuley. "Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content." Algorithms 13, no. 4 (2020): 83. http://dx.doi.org/10.3390/a13040083.

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Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently cannot be accurately described by a single emotion class. Multilabel classifiers can categorize human-generated content in multiple emotional classes. Ensemble learning can improve the statistical, computational and representation aspects of such classifiers. We present a baseline stacked ensemble and propose a weighted ensemble. Our proposed weighted ensemble can use multiple cl

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Saura, Jose Ramon, Ana Reyes-Menendez, and Ferrão Filipe. "Comparing Data-Driven Methods for Extracting Knowledge from User Generated Content." Journal of Open Innovation: Technology, Market, and Complexity 5, no. 4 (2019): 74. http://dx.doi.org/10.3390/joitmc5040074.

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This study aimed to compare two techniques of business knowledge extraction for the identification of insights related to the improvement of digital marketing strategies on a sample of 15,731 tweets. The sample was extracted from user generated content (UGC) from Twitter using two methods based on knowledge extraction techniques for business. In Method 1, an algorithm to detect communities in complex networks was applied; this algorithm, in which we applied data visualization techniques for complex networks analysis, used the modularity of nodes to discover topics. In Method 2, a three-phase p

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Xu, Zhaoguang, Shumeng Gui, Yanzhong Dang, and Xianneng Li. "User Satisfaction in the New Energy Vehicles: An Analysis Harnessing User-Generated Content and Sentiment Analytics." Procedia Computer Science 221 (2023): 1242–49. http://dx.doi.org/10.1016/j.procs.2023.08.112.

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Artz, Kerstin, and Holger Wormer. "What recipients ask for: An analysis of ‘user question generated’ science coverage." Journalism 12, no. 7 (2011): 871–88. http://dx.doi.org/10.1177/1464884911412826.

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This article analyses the potential of ‘user question generated content’ related to science coverage with the aim of rethinking editorial selection in science journalism. The analysis builds partly on a previous paper which proposed a modified theory of news values for science journalism. The present article is based on a differentiated content analysis of 6528 user-generated questions 1 to science editors in three German media (print, radio and television) with different target groups with respect to age, educational background and gender. A total of 3530 questions could be assigned to differ

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Abdelrahman, Safwat, Metwally Ayman, Yassin Sally, and Yacoub Amina. "The Impact of Firm-Created Content and User-Generated Content on Purchase Intention through the Mediating Effect of Brand Passion among Gen Z." International Journal of Social Science and Human Research 08, no. 05 (2025): 3043–58. https://doi.org/10.5281/zenodo.15449532.

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Purpose – Modern digital marketers leverage social media as a tool for brand awareness and customer engagement. Technological advancements have significantly transformed the way consumers and companies communicate. The purpose of the study is to investigate the impact of investigating the impact of firm created content and user generated content on purchase intention through the mediating effect of brand passion. Focusing on TikTok, a popular platform among Gen Z usersDesign/methodology/approach – The positivist philosophy and associated methods as the quantitative technique and de

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al Nashmi, Eisa, Michael North, Terry Bloom, and Johanna Cleary. "‘Boots on the Ground?’: How international news channels incorporate user-generated content into their YouTube presence." International Communication Gazette 79, no. 8 (2017): 746–68. http://dx.doi.org/10.1177/1748048517707404.

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Through a content analysis of 571 videos posted on the self-generated YouTube channels of five international news channels, this study examines whether user-generated content is a significant part of today’s international journalism. The study includes international news channels Al Jazeera English, France 24 English, Russia Today, CNN International, and Al Arabiya. Exploring the implications for gatekeeping theory, the study looked at how these international news channels incorporate user-generated content in their daily news coverage. Results show that the international news channels are gen

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Kurian, Jayan Chirayath, and Blooma Mohan John. "User-generated content on the Facebook page of an emergency management agency." Online Information Review 41, no. 4 (2017): 558–79. http://dx.doi.org/10.1108/oir-09-2015-0295.

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Purpose The purpose of this paper is to explore themes eventuating from the user-generated content posted by users on the Facebook page of an emergency management agency. Design/methodology/approach An information classification framework was used to classify user-generated content posted by users including all of the content posted during a six month period (January to June 2015). The posts were read and analysed thematically to determine the overarching themes evident across the entire collection of user posts. Findings The results of the analysis demonstrate that the key themes that eventua

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Papadopoulou, Olga, Markos Zampoglou, Symeon Papadopoulos, and Ioannis Kompatsiaris. "A corpus of debunked and verified user-generated videos." Online Information Review 43, no. 1 (2019): 72–88. http://dx.doi.org/10.1108/oir-03-2018-0101.

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Purpose As user-generated content (UGC) is entering the news cycle alongside content captured by news professionals, it is important to detect misleading content as early as possible and avoid disseminating it. The purpose of this paper is to present an annotated dataset of 380 user-generated videos (UGVs), 200 debunked and 180 verified, along with 5,195 near-duplicate reposted versions of them, and a set of automatic verification experiments aimed to serve as a baseline for future comparisons. Design/methodology/approach The dataset was formed using a systematic process combining text search

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Zhu, Jianbin, and Yuqi Liu. "Exploring Guilin's Destination Image Via User-Generated Content: A Computational Methods." International Journal of Computer Science and Information Technology 4, no. 1 (2024): 73–86. http://dx.doi.org/10.62051/ijcsit.v4n1.09.

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This study quantify mainland China's destination image through international tourists' user-generated content (UGC), with a specific focus on Guilin, utilizing advanced computational techniques such as Latent Dirichlet Allocation (LDA) for topic modeling and sentiment analysis. It systematically evaluates online travel reviews to distill key themes and emotional sentiments that shape Guilin's image, uncovering a rich tapestry of cognitive perceptions and affective reactions related to its natural scenery, cultural engagements, service standards, and logistical facets. The application of topic

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Kurian, Jayan Chirayath. "Facebook use by the open access repository users." Online Information Review 39, no. 7 (2015): 903–22. http://dx.doi.org/10.1108/oir-02-2015-0055.

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Purpose – The purpose of this paper is to explore the type and implications of user-generated content posted by users of an open access institutional repository (DSpace) on Facebook. Design/methodology/approach – The identified user-generated content was organised into three categories: personal; professional; and social information. It encompassed all content from the members of the “DSpace” Facebook group, posted during the seven-year period (2007-2014). The posts were read and analysed to identify and categorise user-generated content posted by users to determine how Facebook is used by ope

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Tellis, Gerard J., and Seshadri Tirunillai. "User-Generated Content and Stock Performance: Does Online Chatter Matter?" GfK Marketing Intelligence Review 5, no. 2 (2013): 13–17. http://dx.doi.org/10.2478/gfkmir-2014-0012.

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Abstract Online chatter can strongly affect companies by boosting or slowing down sales of commented products, and user generated content even affects stock prices. An analysis of almost 350,000 consumer reviews and product ratings for 15 brands on popular websites showed some interesting effects: Having a higher volume of user comments, regardless of their assessment, was a strong indication of an increase in stock prices. The researchers also found negative reviews had a stronger impact than positive reviews. According to the results, negative chatter could erode about $1.4 million from the

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