Статті в журналах: "Personalized advertisements"

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Debora Dhanya A and Uma Pricilda Jaidev. "Perceived Personalization, Privacy Concern, e-WOM and Consumers' Click Through Intention in Social Advertising." International Journal of E-Services and Mobile Applications 11, no. 4 (October 2019): 39–55. http://dx.doi.org/10.4018/ijesma.2019100103.

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Social advertising, ads in social media platforms, have become popular in recent years because of the evolution of internet technologies such as web analytics and big data mining. The content of the social advertisement is tailored in order to personalize the message to the target consumer groups. In an effort to reach the prospects, marketers should focus on the social leads on social networking sites (SNS) to promote and to sell their brands/products. Drawing on, online personalized advertising literature, e-WOM recommendations and increasing privacy concerns and perceived ad personalization (conceptualized as functions of psychological reactance) on SNS leads to avoid such advertisements. The goal of the study is to investigate the impact of perceived personalization, privacy concern, and e-WOM to consumers' behavioral click through intentions towards social ads. This study contributed to the theory of psychological reactance by indicating that the individuals with less privacy concern and personalized recommendations from their contacts on SNS have a smaller amount of reactance towards social advertisements than commercial advertisements by marketers. Suggestions for advertisers, social media marketing practitioners conclude the paper.

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Dziemianko, Anna. "Smart advertising and online dictionary usefulness." International Journal of Lexicography 33, no. 4 (August 26, 2020): 377–403. http://dx.doi.org/10.1093/ijl/ecaa017.

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Abstract Today, online advertisements are smart. Based on targeting, they are highly personalized to match the interests of Internet users. Smart advertisements feature even in high-quality online dictionaries, which is a trade-off for free dictionary content. The aim of the paper is to investigate the influence of targeted advertisements in online dictionaries on language reception, production and learning. The study also identifies the effect of advertisement targeting on the time of online dictionary consultation. In addition, dictionary users’ attitudes to advertisements are explored. The results reveal that either targeted or non-targeted advertisements in online dictionaries do not significantly affect language reception, production and learning, irrespective of sense position in entries. Yet, both targeted and non-targeted advertisements prolong dictionary consultation. Non-targeted advertisements were found only marginally more disruptive than targeted ones, and the assessment of advertisements was not dependent on the experimental condition.

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Noura, Abdaoui, Hadj Khalifa Ismahène, and Faiz Sami. "Process of Personalizing the Ubiquitous Advertisements." International Journal of Knowledge Society Research 8, no. 2 (April 2017): 13–35. http://dx.doi.org/10.4018/ijksr.2017040102.

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In this paper, we propose an approach combining behavioral and targeting techniques for a better reaction of the customer with a star product using a personalized ubiquitous advertisement. We use the clustering to study the customer's behavior and the association rules to estimate the probability of star product's purchases in the near future. In order to validate our approach, we develop a prototype to send a personalized advertisement to loyal customers and potential customers in ubiquitous environment. Each target receives the advertising according his classification and his degree of loyalty obtained by the behavioral analysis. Loyal customers are the first to receive the personalized advertising in the ubiquitous environment.

4

Du, Wei, and Jun Liang Chen. "Semantic Tags and Neutral Network Based Personalized Advertisement Recommendation System for Movies." Advanced Materials Research 488-489 (March 2012): 1727–31. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1727.

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With the rapid development of information especially internet technology, people have to choose the most suitable goods without any experience, so the recommendation system is seriously required. Yet no research on advertisement recommendation system for movie play is presented. Regarding this problem, the paper introduces the theory of semantic computing and annotates the semantic tags from the movie slices and the candidate advertisements, the potential preferences on them are predicted with neutral network model trained by some data set predefined. The user preference model and the predicting workflow are described in detail. Finally, the MovieLens dataset is employed to validate the validity of the system designed. The results of simulation experiments prove that the technology proposed can not only satisfy the requirement of matched advertisement recommendation but also outperform the traditional collaborative filtering algorithm.

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Takeuchi, Ryosuke. "The Diversity of Consumer Perceptions toward Personalized Advertisements." Japan Marketing Journal 40, no. 1 (June 30, 2020): 43–55. http://dx.doi.org/10.7222/marketing.2020.034.

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Nyheim, Peter, Shi Xu, Lu Zhang, and Anna S. Mattila. "Predictors of avoidance towards personalization of restaurant smartphone advertising." Journal of Hospitality and Tourism Technology 6, no. 2 (August 17, 2015): 145–59. http://dx.doi.org/10.1108/jhtt-07-2014-0026.

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Purpose – This paper aims to examine the effect of privacy concern, irritation and personalization on Millennials’ perceptions of personalized smartphone advertising avoidance in a restaurant context. The hospitality industry has witnessed a huge surge in mobile activity over the past few years. Mobility opens up a new communication channel and allows industry to connect with their guests in a more personalized way. However, not all customers welcome the personalized advertisements. Design/methodology/approach – Data were collected from 159 Millennials enrolled in a large state university in the Eastern USA using an online self-administered survey. These Millennials were asked to use a restaurant’s smartphone application for 30 days and then complete a survey based on their perceptions of personalized advertising. Descriptive analysis, reliability, factor analysis and regression analysis were used to evaluate the relationships among the four constructs: privacy concern, irritation, personalization and advertising avoidance, with the first three variables as predictors and advertising avoidance as an outcome. Findings – The results suggest that advertising irritation is positively related to advertising avoidance, perceived personalization is related with less advertising avoidance, while privacy concern is not related to advertising avoidance. Originality/value – Although advertising avoidance has previously been studied for the past few decades, little research has explored the underlying mechanisms of the Millennials’ avoidance of personalized smartphone advertising in a restaurant context. The current research suggests information pertinent to strategies for marketing personalized smartphone advertisement for restaurant companies.

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Kim, Jong Woo, Kyung Mi Lee, Michael J. Shaw, Hsin-Lu Chang, Matthew Nelson, and Robert F. Easley. "A preference scoring technique for personalized advertisements on Internet storefronts." Mathematical and Computer Modelling 44, no. 1-2 (July 2006): 3–15. http://dx.doi.org/10.1016/j.mcm.2004.12.011.

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REENA, Mehta, and Kulkarni UDITA. "Impact of Personalized Social Media Advertisements on Consumer Purchase Intention." Annals of Dunarea de Jos University of Galati. Fascicle I. Economics and Applied Informatics 26, no. 2 (August 31, 2020): 15–24. http://dx.doi.org/10.35219/eai15840409101.

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Tran, Trang P., Michelle van Solt, and James E. Zemanek Jr. "How does personalization affect brand relationship in social commerce? A mediation perspective." Journal of Consumer Marketing 37, no. 5 (March 20, 2020): 473–86. http://dx.doi.org/10.1108/jcm-12-2017-2499.

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Purpose This paper aims to tests a conceptual model capturing the influence of personalized advertising on customer perceptions of brands in social media and identifies three market segments based on customers’ reactions to personalized ads. Design/methodology/approach Two studies are developed to test the model using partial least squares structural equation modeling (PLS-SEM). Additionally, cluster analysis, multi-group analysis (MGA) and serial mediation tests are also conducted to provide better insights into the results. Findings The results of the two studies show that all nine hypotheses are supported except for H4 in Study 1. Three market segments (ad lovers, ad adjusters and ad haters) are identified. Each segment has a typical attitude toward personalized advertisements. Research limitations/implications Built on self-congruence literature, the current research posits that consumer-brand self-congruence can be established when a customer sees a brand advertised on Facebook after searching for that brand online. Consistently, this paper finds that through self-congruence, personalized advertising has a positive impact on brand-related outcomes. Practical implications Three segments identified – “ad lovers,” “ad adjusters” and “ad haters” are important for marketers. Companies should develop an appropriate advertising campaign for each segment, especially once the general data protection regulation is in place. Companies will be subject to a noncompliance penalty if an advertisement is posted on a user s account without approval. Identifying this segment promptly will not only enable companies to save resources but also help avoid legal complications associated with privacy concerns. Originality/value This research sheds light on the effects of personalized advertising on customer perceptions of brands in social commerce.

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Kim, Jong Woo, Byung Hun Lee, Michael J. Shaw, Hsin-Lu Chang, and Matthew Nelson. "Application of Decision-Tree Induction Techniques to Personalized Advertisements on Internet Storefronts." International Journal of Electronic Commerce 5, no. 3 (March 2001): 45–62. http://dx.doi.org/10.1080/10864415.2001.11044215.

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Lekakos, George, and George M. Giaglis. "A Lifestyle-Based Approach for Delivering Personalized Advertisements in Digital Interactive Television." Journal of Computer-Mediated Communication 9, no. 2 (June 23, 2006): 00. http://dx.doi.org/10.1111/j.1083-6101.2004.tb00283.x.

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Pfiffelmann, Jean, Nathalie Dens, and Sébastien Soulez. "Personalized advertisements with integration of names and photographs: An eye-tracking experiment." Journal of Business Research 111 (April 2020): 196–207. http://dx.doi.org/10.1016/j.jbusres.2019.08.017.

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13

Leader, Caroline F. "Dadvertising: Representations of Fatherhood in Procter & Gamble’s Tide Commercials." Communication, Culture and Critique 12, no. 1 (February 23, 2019): 72–89. http://dx.doi.org/10.1093/ccc/tcz002.

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Abstract In the digital age of branding when advertisements appeal to consumers’ belief systems, Procter & Gamble’s Tide uses ads that feature loving fathers doing the laundry. Building on masculinity studies and branding discourses, I explore representations of Tide’s dads as part of a wave of “dadvertising,” or advertising that uses fathers to represent ideal masculinity centered on involved parenting and emotional vulnerability. The advertisements in my case study show a spectrum of performance, from dads who justify their domestic labor with appeals to hegemonic masculinity to dads who seem at ease in historically feminized roles. All of these examples reveal dadvertising’s root in neoliberal gender politics and commodity activism, wherein evolving masculinities are personalized and commoditized into consumerist actions.

14

Hong, Taekeun, Jin-A. Choi, Kiho Lim, and Pankoo Kim. "Enhancing Personalized Ads Using Interest Category Classification of SNS Users Based on Deep Neural Networks." Sensors 21, no. 1 (December 30, 2020): 199. http://dx.doi.org/10.3390/s21010199.

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The classification and recommendation system for identifying social networking site (SNS) users’ interests plays a critical role in various industries, particularly advertising. Personalized advertisements help brands stand out from the clutter of online advertisements while enhancing relevance to consumers to generate favorable responses. Although most user interest classification studies have focused on textual data, the combined analysis of images and texts on user-generated posts can more precisely predict a consumer’s interests. Therefore, this research classifies SNS users’ interests by utilizing both texts and images. Consumers’ interests were defined using the Curlie directory, and various convolutional neural network (CNN)-based models and recurrent neural network (RNN)-based models were tested for our user interest classification system. In our hybrid neural network (NN) model, CNN-based classification models were used to classify images from users’ SNS postings while RNN-based classification models were used to classify textual data. The results of our extensive experiments show that the classification of users’ interests performed best when using texts and images together, at 96.55%, versus texts only, 41.38%, or images only, 93.1%. Our proposed system provides insights into personalized SNS advertising research and informs marketers on making (1) interest-based recommendations, (2) ranked-order recommendations, and (3) real-time recommendations.

15

Xu, Huimin, and Yunying Tan. "Can Beauty Advertisements Empower Women? A Critical Discourse Analysis of the SK-II’s “Change Destiny” Campaign." Theory and Practice in Language Studies 10, no. 2 (February 1, 2020): 176. http://dx.doi.org/10.17507/tpls.1002.05.

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This study examines the advertising campaign of a beauty product SK-II, “Change Destiny” through the lens of critical discourse analysis. By unpacking the verbal language and visuals in the three advertisements and a video advertisement, this article aims to investigate how the beauty advertiser SK-II constructs the ideal images of women through discursive strategies in ads and uncover the possible ideologies underlying the advertising discourse. Adopting Kress and Van Leeuwen’s (1990 ,1996) framework of ‘reading images’ and systemic functional grammar (Butt, 2012; Halliday, 1994) to analyze the texts and visuals in the ads, this study has found that the beauty brand SK-II has utilized various strategies to engage the audiences and market its products, such as problematizing the aging of women, providing personalized solutions to the problem of aging, constructing certain feminist discourses for women, and drawing itself close to the younger generation through women empowerment. The findings show that although the beauty brand claims to empower women through advocating change of destiny for women in its ads, gender ideology remains to be dominant and continues to perpetrate women. It is concluded that these new changes in the ads are simply playful discursive strategies that employed by advertisers to legitimate the new capitalism and commercialism and generate more sales.

16

Kang, Hyunjin, and Matthew P. McAllister. "Selling You and Your Clicks: Examining the Audience Commodification of Google." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 9, no. 2 (June 23, 2011): 141–53. http://dx.doi.org/10.31269/triplec.v9i2.255.

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Using a political economy perspective, this paper argues that Google’s surplus value from advertising results from its extensive and transformative commodification of users. The unique features of Google as an advertising venue intensify the commodification of its users as compared to traditional media in several ways. First, the simplified valorization process of Google’s advertising methods enables Google to earn significantly more surplus value than those of traditional media. Also, Google’s personalized advertising strategies, its precise measurement of advertising costs based on users’ behaviors represented as “the number of clicks,” and the unclear distinction between advertisements and serviced content commodify its users’ online activities. Lastly, this essay asserts that Google commodifies the aggregated consciousnesses of its users because it sells keywords for advertisers to attach advertisements to search-data output, which are priced in accordance with their popularity. This “click-through” form of behavioral commodification has significant implications for the future of media.

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Kang, Hyunjin, and Matthew P. McAllister. "Selling You and Your Clicks: Examining the Audience Commodification of Google." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 9, no. 2 (June 23, 2011): 141–53. http://dx.doi.org/10.31269/vol9iss2pp141-153.

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Using a political economy perspective, this paper argues that Google’s surplus value from advertising results from its extensive and transformative commodification of users. The unique features of Google as an advertising venue intensify the commodification of its users as compared to traditional media in several ways. First, the simplified valorization process of Google’s advertising methods enables Google to earn significantly more surplus value than those of traditional media. Also, Google’s personalized advertising strategies, its precise measurement of advertising costs based on users’ behaviors represented as “the number of clicks,” and the unclear distinction between advertisements and serviced content commodify its users’ online activities. Lastly, this essay asserts that Google commodifies the aggregated consciousnesses of its users because it sells keywords for advertisers to attach advertisements to search-data output, which are priced in accordance with their popularity. This “click-through” form of behavioral commodification has significant implications for the future of media.

18

Çiçek, Mesut, İrem Eren-Erdoğmuş, and İkram Daştan. "What Makes Consumers Recall Banner Ads in Mobile Applications." EMAJ: Emerging Markets Journal 7, no. 1 (September 22, 2017): 11–16. http://dx.doi.org/10.5195/emaj.2017.122.

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The uses of mobile advertisements are increasing their popularity across the world. Companies can gather information about the mobile users based on their locations, lifestyle, and preferences via GPS, cookies and browsing history and embed highly personalized banner ads in mobile applications. However, in the literature there is hardly any work on the effectiveness of these highly personalized in-app banner ads. The aim of the study is to reveal which factors affect the effectiveness of in-app banner ads. An experimental study was designed and 209 subjects participated. The results of Ordinal Logistic Regression indicated that prior brand attitude and attitude towards application have a positive effect, while brand engagement with self-concept has a negative effect on the recall of in-app banner ads. Moreover, in-app banner ads are recalled more when they are located in landscape applications and positioned at the top part of the screen. This research provides some implications for future studies and practitioners.

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Haloho, Felicia Juliana, and Endang Parahyanti. "Personalized Online Advertisements as A Means of Enhancing Purchase Intention:The Mediating Effect of Advertising Value." PSIKODIMENSIA 19, no. 2 (December 13, 2020): 156. http://dx.doi.org/10.24167/psidim.v19i2.2650.

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Setyani, Virda, Yu-Qian Zhu, Achmad Nizar Hidayanto, Puspa Indahati Sandhyaduhita, and Bo Hsiao. "Exploring the psychological mechanisms from personalized advertisements to urge to buy impulsively on social media." International Journal of Information Management 48 (October 2019): 96–107. http://dx.doi.org/10.1016/j.ijinfomgt.2019.01.007.

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Shah, Shweta, Raymond Chojnacki, Jodi Meyer, and Amanda Margolis. "Characteristics of Individuals Who Chose to Participate in a Preceptor Continuing Professional Development Program." Pharmacy 8, no. 3 (July 20, 2020): 121. http://dx.doi.org/10.3390/pharmacy8030121.

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An online program for pharmacy preceptors to improve their clinical teaching using continuing professional development (CPD) was launched in 2017. While 491 preceptors participated in the CPD program, only 35% of potential participants completed this voluntary program. A secondary data analysis was undertaken to determine the characteristics of preceptors who completed the program and identify ways to target program advertising for those who did not complete it. Residency-trained preceptors were more likely to complete the CPD program compared with those without residency training (45% and 37%, respectively; p = 0.011). This may be due to the inclusion of CPD in residency accreditation standards. To improve completion of the CPD program by preceptors without residencies, a brief introduction to CPD, a statement of benefits, and use of a personalized plan should be included in advertisements. Preceptors teaching more experiential students were more likely to complete the CPD program (p < 0.001 for introductory and advanced experiences). To encourage preceptors with less students to participate, the CPD program should be advertised year-round to allow preceptors to complete the training when it is most relevant to their precepting schedule. Future directions include the monitoring of changes in CPD program participation rates following changes in advertisements and exploring other motivations for program completion such as collaborations with employers.

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Wang, Saerom, and Xinran Lehto. "The Interplay of Travelers’ Psychological Distance, Language Abstraction, and Message Appeal Type in Social Media Advertising." Journal of Travel Research 59, no. 8 (October 24, 2019): 1430–46. http://dx.doi.org/10.1177/0047287519880000.

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Effectiveness of destination advertising to potential tourists has been enhanced with the use of personalized orientation. After an online search for information about a destination, individuals are exposed to advertisements related to the destination on their social media newsfeed. However, further understanding is warranted in terms of how these destination messages should be crafted. Thus, our research aims to uncover how destination advertising design, message appeal type, and language abstraction level interact with a message recipient’s psychological distance to his or her trip to influence consumer response to the advertising. Based on construal level theory, we conducted a scenario-based experiment, using manipulated messages and psychological distance state to assess message effectiveness. The findings show that the type of message design respondents favor can vary either by perceived temporal distance to their travel plans or spatial distance to the travel destination.

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Parker, Pearman D., Arpan V. Prabhu, L. Joseph Su, Kristin K. Zorn, Carolyn Greene, Kristie B. Hadden, and Jean C. McSweeney. "55179 An assessment of understandability and actionability in breast cancer survivorship print materials." Journal of Clinical and Translational Science 5, s1 (March 2021): 129–30. http://dx.doi.org/10.1017/cts.2021.731.

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ABSTRACT IMPACT: Our results reveal a limited amount of breast cancer survivorship print materials as both understandable and actionable, and indicate a need to supplement material with personalized teaching. OBJECTIVES/GOALS: Using educational print material for young women breast cancer survivors (YBCS) is considered a best practice in patient teaching. Little is known about how well YBCS understand or act upon the material. The purpose of this study was to assess the understandability and actionability of commonly distributed breast cancer survivorship print materials. METHODS/STUDY POPULATION: We used an environmental scan approach to obtain breast cancer survivorship print materials available in eight outpatient oncology clinics and one electronic medical record used in a Midwestern state. Print materials were included if they were freely available to patients, were specific to breast cancer, provided detailed information about survivorship, and were directly given to patients by physicians or nurses. Print materials were excluded if topics were related to treatment, diagnosis, or prevention. All brochures, drug advertisements, and advertisements for support services were excluded. The understandability and actionability analyses of the breast cancer survivorship print materials were analyzed using Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P). RESULTS/ANTICIPATED RESULTS: The environmental scan resulted in 82 individual print materials. After applying the inclusion and exclusion criteria, eight breast cancer survivorship print materials were included in the final sample. The final sample included two books, two patient education handouts from the electronic medical record, two multi-page booklets, and two pamphlets. The overall mean understandability score of the print materials was 68.9% ? 11.3 with a range of 47% to 80%. Five materials scored above the recommended 70% in understandability. The overall mean actionability score of the print materials was much higher at 81.3% ? 21.6 with a range of 67% to 100%. Five materials scored above 70% in actionability. However, only three of the eight materials scored above the recommended 70% in both understandability and actionability. DISCUSSION/SIGNIFICANCE OF FINDINGS: Limited breast cancer survivorship print materials exist as both understandable and actionable. Personalized instruction provided by oncology team members may be indicated to supplement the material. This additional teaching may help ensure survivors comprehend messages and act upon specific tasks as indicated in survivorship print material.

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Grifoni, Patrizia, Arianna D'Ulizia, and Fernando Ferri. "A Semantic-Based Approach for Context-Aware Service Discovery." International Journal of Information Systems in the Service Sector 6, no. 4 (October 2014): 1–26. http://dx.doi.org/10.4018/ijisss.2014100101.

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The increasingly growing number of services available on the web, along with advances in information and communication technologies, has given rise to the development of new approaches for service discovery, devoted to retrieve services advertised by a service provider and satisfying users requests. Traditional service discovery attempts are devoted to enable a matching between advertised service names and the keywords of the user request. Some of these methods use also semantic approaches, however an improvement in terms of precision has been obtained with the adoption of a semantic-based approach, together with the use of contextual information. This research aims at facing the problem of discovering context-aware services by proposing a semantic similarity model for enabling the matching between advertisements and requests personalized according to the context information (such as user position, user preferences, available resources). The method proposed has been validated by performing a set of experiments for evaluating the recall and precision of the method.

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Pittaras, Iakovos, Nikos Fotiou, Vasilios A. Siris, and George C. Polyzos. "Beacons and Blockchains in the Mobile Gaming Ecosystem: A Feasibility Analysis." Sensors 21, no. 3 (January 28, 2021): 862. http://dx.doi.org/10.3390/s21030862.

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We explore the adoption of the Internet of Things (IoT) and Distributed Ledger Technologies (DLTs), such as blockchains, in mobile gaming, focusing on ecosystem expansion and diversification, customer attraction and retention, exploitation of context sensitive and personalized advertisements, and improved monetization of in-game assets. We evaluate the cost and transaction delay of DLTs in a location-based mobile game ecosystem using two types of blockchains (permissioned and permissionless or public), based on defined Key Performance Indicators (KPIs). Our evaluation shows the advantages of using both types of blockchains as well as interledger technologies that combine them. Permissioned blockchains enable high performance, e.g., in terms of throughput and delay, and low cost, while permissionless (public) blockchains, through their transparency, immutability, and openness, support trust and facilitate interactions among unrelated parties. Finally, we show that the combination of IoT devices and DLTs in mobile gaming offers new business opportunities and enables innovative business models for both traditional mobile gaming companies and other participants in the ecosystem, e.g., game players, cafes, malls, and similar establishments, advertising companies, and independent programmers.

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Yu, Jay (Hyunjae), and Brenda Cude. "‘Hello, Mrs. Sarah Jones! We recommend this product!’ï¿½Consumers' perceptions about personalized advertising: comparisons across advertisements delivered via three different types of media." International Journal of Consumer Studies 33, no. 4 (July 2009): 503–14. http://dx.doi.org/10.1111/j.1470-6431.2009.00784.x.

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Hanafizadeh, Payam, Mehdi Behboudi, and Hamideh Mokhtari Hasanabad. "Online Advertising Intermediary." International Journal of Online Marketing 4, no. 1 (January 2014): 29–38. http://dx.doi.org/10.4018/ijom.2014010103.

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Applying bleeding edge courses of action in advertising is always a case on the table of decision makers. In online case, lack of a practice to place right advertisement in a right time for the right user has been counted as biggest challenage. On the other hand, “ad clutter”, the key criticism on online advertising; is about to put online advertisement's benefits away and annoying users more than before. Accordingly, this article aims at scrutinizing this critical problem by incorporating one of the next generation technologies, Lead Generation. This study introduces an e-business framework in advertisement intermediating in the form of a framework so that lets advertisers advertise in customized way. In this approach, the authors focused on displaying a personalized ad for each user by which marketers could redirect their visiting prospects into becoming their own consumers. At the end, the managerial implications are reported.

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Leung, Daniel, and Megan Tsou. "The impact of incentive framing format and language congruency on readers’ post-reading responses to email advertisements." International Journal of Contemporary Hospitality Management 31, no. 8 (August 12, 2019): 3037–57. http://dx.doi.org/10.1108/ijchm-06-2018-0514.

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Purpose This paper aims to examine how incentive framing format and language congruency interactively influence readers’ post-reading responses to hotel-related email advertisements. Design/methodology/approach A 2 (incentive framing format: amount-off versus percentage-off) × 2 (language congruency: use of readers’ native language versus use of readers’ foreign language) between-subject experiment was conducted with 233 bilingual speakers from China. Findings The findings unveil that readers are more likely to be enticed to search for more information about the promoted hotel restaurant, click the call-to-action button and share the promotional message with friends and families if an email advertisement presents the incentive of a price promotion in the form of amount-off (versus percentage-off). The indirect impact of language congruency is also verified. Specifically, the impact of incentive framing format on readers’ post-reading response is more salient when information is communicated using readers’ native (versus non-native) language. Practical implications The findings provide actionable clues for hoteliers to optimize their email marketing campaigns. If hotels want to publicize a price promotion for their high-priced service (e.g. hotel restaurant dining) via email advertisements, marketers should present the incentive in the form of amount-off. Hotels should also personalize the language used in the email advertisements according to readers’ native language. Originality/value This study enriches the literature on email marketing by explicating how hoteliers can improve the efficacy of email marketing via personalizing the incentive framing format and language used in the email advertisement according to the readers’ preferences.

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Feldmeth, Gillian, Leidy Gutierrez, Stacy Tessler Lindau, Jennifer A. Makelarski, Edward T. Naureckas, and Julian Solway. "2300." Journal of Clinical and Translational Science 1, S1 (September 2017): 5–6. http://dx.doi.org/10.1017/cts.2017.36.

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OBJECTIVES/SPECIFIC AIMS: To study the rate of recruitment to the Pulmonary Research Registry (PRR) at the University of Chicago using HealtheRx recruitment Versus usual practice. METHODS/STUDY POPULATION: CommunityRx is a health information technology, integrated with electronic medical record (EMR) platforms, that generates personalized referrals (“HealtheRxs”) for community-based programs and services that address basic and other health-related self-care needs. The target population included people ages 18 and older, English speaking, living in 1 of 16 ZIP codes on Chicago’s south and west sides (106 mi2) who received care at ≥1 of 28 CommunityRx partner sites and had a diagnosis of asthma or COPD. Between December 2015 and December 2016, information about pulmonary research participation opportunities was included on the HealtheRxs of eligible patients contemporaneously with usual registry recruitment methods. Usual methods, used since 2010 by the PRR group, included public advertisements requiring the patient to call the research team for more information and education of eligible patients identified during routine clinical care with a Pulmonary/Critical Care clinician or when enrolling in a pulmonary clinical trial. We hypothesized that, compared with usual recruitment practices, the HealtheRx recruitment strategy would increase the rate and decrease the per subject cost of patient recruitment to a prospective registry. Total annual recruitment costs for each method were calculated and divided by the number of consented PRR enrollees per method. RESULTS/ANTICIPATED RESULTS: Between December 22, 2015 and December 15, 2016 13,437 HealtheRxs (8762 for asthma, 3842 for COPD, and 833 for both asthma and COPD) were generated with the recruitment advertisement. In total, 41 patients responded to the ad and participated in the phone survey. In which 15 (36.5%) participants self-reported a diagnosis of asthma only (65% of all HealtheRxs with advertisement were for asthma only), 9 (22%) reported a diagnosis of COPD only (28.5% of all HealtheRxs with advertisement were for COPD only), and 17 (41.5%) reported diagnoses of both asthma and COPD (6.2% of all HealtheRxs with advertisement were for asthma and COPD). Most participants were female (n=28), non-Hispanic black (n=37), and not employed (n=39). The median age was 57. The majority (n=31) had never participated in health or medical research and was not aware of current opportunities to participate in research (n=25). All 41 participants expressed interest in joining PRR and were mailed a blank PRR consent form and a prepaid return envelope with their incentive check for the telephone survey. To date, 5 participants returned a signed consent form via mail and were enrolled in PRR. During the same period, 4 patients enrolled in PRR via usual recruitment methods. The cost per subject to enroll in PRR was $364.40 using the HealtheRx recruitment and $4590 using usual practice. DISCUSSION/SIGNIFICANCE OF IMPACT: NIH has called for innovation in research recruitment methodologies to increase enrollment especially of people who are under-represented in clinical trials research. This study demonstrates the feasibility and efficiency of using an EMR-integrated recruitment method to enroll people of under-represented minority groups to a research registry.

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Fay, Luke, Lucas Gregory, and Mickael Raulet. "ATSC 3.0 Personalized Targeted Advertisement." SMPTE Motion Imaging Journal 130, no. 2 (March 2021): 22–28. http://dx.doi.org/10.5594/jmi.2021.3052544.

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Adel, Heike, Francine Chen, and Yan-Ying Chen. "Tackling challenges of neural purchase stage identification from imbalanced twitter data." Natural Language Engineering 26, no. 4 (August 15, 2019): 383–411. http://dx.doi.org/10.1017/s1351324919000433.

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AbstractTwitter and other social media platforms are often used for sharing interest in products. The identification of purchase decision stages, such as in the AIDA model (Awareness, Interest, Desire, and Action), can enable more personalized e-commerce services and a finer-grained targeting of advertisements than predicting purchase intent only. In this paper, we propose and analyze neural models for identifying the purchase stage of single tweets in a user’s tweet sequence. In particular, we identify three challenges of purchase stage identification: imbalanced label distribution with a high number of non-purchase-stage instances, limited amount of training data, and domain adaptation with no or only little target domain data. Our experiments reveal that the imbalanced label distribution is the main challenge for our models. We address it with ranking loss and perform detailed investigations of the performance of our models on the different output classes. In order to improve the generalization of the models and augment the limited amount of training data, we examine the use of sentiment analysis as a complementary, secondary task in a multitask framework. For applying our models to tweets from another product domain, we consider two scenarios: for the first scenario without any labeled data in the target product domain, we show that learning domain-invariant representations with adversarial training is most promising, while for the second scenario with a small number of labeled target examples, fine-tuning the source model weights performs best. Finally, we conduct several analyses, including extracting attention weights and representative phrases for the different purchase stages. The results suggest that the model is learning features indicative of purchase stages and that the confusion errors are sensible.

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Alavi, Nazanin, Callum Stephenson, Shadé Miller, Payam Khalafi, Israa Sinan, Danielle Kain, Maggie McDougall, et al. "Developing and Implementing a Web-Based Psychotherapy Program to Address Mental Health Challenges Among Patients Receiving Oncologic and Palliative Care: Protocol for an Open-Label Randomized Controlled Trial." JMIR Research Protocols 10, no. 7 (July 14, 2021): e30735. http://dx.doi.org/10.2196/30735.

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Background The demand for mental health care, particularly for depression and anxiety, is 3-fold greater among patients receiving oncologic and palliative care than for the general population. This population faces unique barriers, making them more susceptible to mental health challenges. Various forms of psychotherapy have been deemed effective in addressing mental health challenges in this population, including supportive psychotherapy, cognitive behavioral therapy, problem-based therapy, and mindfulness; however, their access to traditional face-to-face psychotherapy resources is limited owing to their immunocompromised status, making frequent hospital visits dangerous. Additionally, patients can face hospital fatigue from numerous appointments and investigations or may live in remote areas, which makes commutes both physically and financially challenging. Web-based psychotherapy is a promising solution to address these accessibility barriers. Moreover, web-based psychotherapy has been proven effective in addressing depression and anxiety in other populations and may be implementable among patients receiving oncologic and palliative care. Objective The study will investigate the feasibility and effectiveness of web-based psychotherapy among patients receiving oncologic and palliative care, who have comorbid depression or anxiety. We hypothesized that this program will be a viable and efficacious treatment modality compared to current treatment modalities in addressing depression and anxiety symptoms in this population. Methods Participants (n=60) with depression or anxiety will be recruited from oncology and palliative care settings in Kingston (Ontario, Canada). Participants will be randomly allocated to receive either 8 weeks of web-based psychotherapy plus treatment as usual (treatment arm) or treatment as usual exclusively (control arm). The web-based psychotherapy program will incorporate cognitive behavioral therapy, mindfulness, and problem-solving skills, and homework assignments with personalized feedback from a therapist. All web-based programs will be delivered through a secure platform specifically designed for web-based psychotherapy delivery. To evaluate treatment efficacy, all participants will complete standardized symptomology questionnaires at baseline, midpoint (week 4), and posttreatment. Results The study received ethics approval in February 2021 and began recruiting participants in April 2021. Participant recruitment has been conducted through social media advertisements, physical advertisements, and physician referrals. To date, 11 participants (treatment, n=5; control, n=4; dropout, n=2) have been recruited. Data collection and analysis are expected to conclude by December 2021 and January 2022, respectively. Linear regression (for continuous outcomes) will be conducted with interpretive qualitative methods. Conclusions Our findings can be incorporated into clinical policy and help develop more accessible mental health treatment options for patients receiving oncologic and palliative care. Asynchronous and web-based psychotherapy delivery is a more accessible, scalable, and financially feasible treatment that could have major implications on the health care system. Trial Registration ClinicalTrials.gov NCT04664270; https://clinicaltrials.gov/ct2/show/NCT04664270 International Registered Report Identifier (IRRID) DERR1-10.2196/30735

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Hurmuz, Marian Z. M., Stephanie M. Jansen-Kosterink, Harm op den Akker, and Hermie J. Hermens. "User Experience and Potential Health Effects of a Conversational Agent-Based Electronic Health Intervention: Protocol for an Observational Cohort Study." JMIR Research Protocols 9, no. 4 (April 3, 2020): e16641. http://dx.doi.org/10.2196/16641.

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Background While the average human life expectancy has increased remarkably, the length of life with chronic conditions has also increased. To limit the occurrence of chronic conditions and comorbidities, it is important to adopt a healthy lifestyle. Within the European project “Council of Coaches,” a personalized coaching platform was developed that supports developing and maintaining a healthy lifestyle. Objective The primary aim of this study is to assess the user experience with and the use and potential health effects of a fully working Council of Coaches system implemented in a real-world setting among the target population, specifically older adults or adults with type 2 diabetes mellitus or chronic pain. Methods An observational cohort study with a pretest-posttest design will be conducted. The study population will be a dynamic cohort consisting of older adults, aged ≥55 years, as well as adults aged ≥18 years with type 2 diabetes mellitus or chronic pain. Each participant will interact in a fully automated manner with Council of Coaches for 5 to 9 weeks. The primary outcomes are user experience, use of the program, and potential effects (health-related factors). Secondary outcomes include demographics, applicability of the virtual coaches, and user interaction with the virtual coaches. Results Recruitment started in December 2019 and is conducted through mass mailing, snowball sampling, and advertisements in newspapers and social media. This study is expected to conclude in August 2020. Conclusions The results of this study will either confirm or reject the hypothesis that a group of virtual embodied conversational coaches can keep users engaged over several weeks of interaction and contribute to positive health outcomes. Trial Registration The Netherlands Trial Register: NL7911; https://www.trialregister.nl/trial/7911 International Registered Report Identifier (IRRID) PRR1-10.2196/16641

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Lee, Wookun, Nam-il Kim, Eunmin Yoon, Jae-Hwan Jin, and Myung-Joon Lee. "Xibo4u: Digital Signage for Personalized Advertisement." Journal of the Korea Institute of Information and Communication Engineering 19, no. 6 (June 30, 2015): 1359–67. http://dx.doi.org/10.6109/jkiice.2015.19.6.1359.

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Aslam, Huzaifa, Muhammad Rashid, and Nouman Chaudhary. "Impact of Personalized Social Media Advertising on Online Impulse Buying Behavior." SEISENSE Business Review 1, no. 3 (September 6, 2021): 12–25. http://dx.doi.org/10.33215/sbr.v1i3.660.

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Personalization is used for marketing in social media by marketers and advertisers. So there is a great need to explore this phenomenon of personalization and online impulse buying behavior. This study examines the impact of personalized advertisement and its effects on online impulse buying behavior. This study is significant for online retailers and marketers. In this study, we developed a conceptual model. We then tested it while using different factors to know the power and impact of personalized advertisement on online impulse buying behavior through social media. We see perceived novelty and perceived relevance and online payment facility as mediators between personalized advertisement and online impulse buying behavior and privacy concerns as a moderator between payment facility and online impulse buying behavior. Developed a survey and filled it with 250 participants, then performed an analysis of correlation and regression; ten of the hypotheses of this study are supported by the finding of the results. And at the last chapter discussed the results and practical implications, and conclusion of the study.

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Wang, Jing. "The Face-Off Between User Privacy and Information Exploitation in Online Social Networking." International Journal of Information Systems and Social Change 3, no. 3 (July 2012): 19–36. http://dx.doi.org/10.4018/jissc.2012070102.

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This research examines the extent to which and the path through which privacy concerns may trigger negative consequences in Social Networking Sites (SNS). Contradicting conventional wisdom that privacy concerns could severely impede the adoption and diffusion of online social networking, the results indicate that privacy concerns and risk beliefs do not directly impact individuals’ willingness to share information through SNS. However, privacy concerns and risk beliefs do impede individuals’ willingness to be profiled by SNS for personalized services and advertisement. Privacy concerns also positively impact risk beliefs and negatively impact trusting beliefs. Trusting beliefs positively influence individuals’ willingness to share information through SNS and willingness to be profiled by SNS for personalized services and advertisement.

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Mishra, Oly. "Communicating a company's higher purpose to conscious consumers through online behavioural advertising." Marketing Review 20, no. 1 (August 31, 2020): 93–108. http://dx.doi.org/10.1362/146934720x15929907504111.

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In the 21st century, the use of Internet and web applications have become a major component of advertising. The advantage of online advertising is that advertisers can monitor the online behaviour of consumers and show personalised advertisements to targeted consumers. There has been a phenomenal rise in the number of conscious consumers who believe that a company's values should match their own. Some organisations work to achieve a higher purpose. There arises a need for such conscious consumers to be identified, based on their characteristic features, as a separate segment. The values of this particular segment should match with those of a purpose-driven company. The best way to do this is by showing personalised online advertisements to these target consumers so that they are aware of the higher purpose that the company wants to achieve. Thus, this research paper attempts to present a conceptual framework to identify the segment of conscious consumers and inform them about the higher purpose which a conscious business wants to achieve through online behavioural advertisements, and instil in their minds an implied social label.

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Yokomitsu, Kengo, Tomonari Irie, Mayu Sekiguchi, Ayako Shimizu, Hirofumi Matsuoka, Sally Nicola Merry, and Karolina Stasiak. "Gamified Mobile Computerized Cognitive Behavioral Therapy for Japanese University Students With Depressive Symptoms: Protocol for a Randomized Controlled Trial." JMIR Research Protocols 9, no. 4 (April 7, 2020): e15164. http://dx.doi.org/10.2196/15164.

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Background Evidence shows that computerized self-help interventions are effective for reducing symptoms of depression. One such intervention, SPARX, is a gamified mobile computerized cognitive behavioral therapy (cCBT) developed for adolescents in New Zealand, which was shown to be as effective as usual care for young people with mild-to-moderate symptoms of depression. However, gamified cCBT has not yet been tested in Japan. Objective This trial is designed to investigate whether a Japanese-adapted version of SPARX improves depressive symptoms in Japanese university students with mild-to-moderate depressive symptoms. Methods In this 7-week, multicenter, stratified, parallel-group, superiority randomized trial, participants will be allocated to either a treatment condition (SPARX) or a wait-list control condition. SPARX is a fully automated program, which will be delivered to the mobile phone or tablet device of the participants. SPARX is designed as an interactive fantasy game to guide the user through seven modules that teach key CBT strategies. All participants will be recruited from universities via advertisements on online bulletin boards, the campus newspaper, and posters. Participants in the treatment condition will use the SPARX program weekly. The primary outcome is the reduction of depressive symptoms (using Patient Health Questionnaires-9) measured at baseline and weekly: once after the 7-week intervention and once at a 1-month follow-up. Secondary outcomes include satisfaction with the program and satisfaction with life, measured by the Satisfaction With Life Scale; positive and negative moods, measured by the Profile of Mood States Second Edition; social functioning, measured by the EuroQol Instrument; rumination, measured by the Ruminative Responses Scale; and coping, measured by the Brief Coping Orientation to Problem Experienced Inventory. Results This study received funding from The Research Institute of Personalized Health Sciences, Health Sciences University of Hokkaido, and obtained institutional review board approval in September 2019. Data collection began in April 2019. Conclusions Results of this trial may provide further evidence for the efficacy of gamified cCBT for the treatment of depression and, specifically, provide support for using SPARX with Japanese university students. Trial Registration Japan Primary Registries Network UMIN000034354; https://tinyurl.com/uu7xd77 International Registered Report Identifier (IRRID) DERR1-10.2196/15164

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Oddsson, S., T. Gunnarsdottir, L. Johannsdottir, M. Amundadottir, A. Frimannsdottir, K. Ylanne, P. Molander, A. Islind, M. Oskarsdottir, and T. Thorgeirsson. "P376 Improving stress and fatigue in a real-world setting among patients with Inflammatory Bowel Disease through a digital platform." Journal of Crohn's and Colitis 15, Supplement_1 (May 1, 2021): S391—S392. http://dx.doi.org/10.1093/ecco-jcc/jjab076.500.

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Abstract Background Fatigue is one of the most prominent and disabling symptoms reported by adult patients with inflammatory bowel disease (IBD). Also, stress is perceived by these patients as one of the main causes of IBD flare-ups. Therapeutic guidelines call for effective disease assessment, early intervention, and personalized care using a treat-to-target approach which may be hard to achieve through standard care. Providing patients with effective self-management strategies and patient support programs (PSPs) via a digital platform to complement standard care, may be optimal for improving fatigue and reducing stress. The objective of this study was to perform a preliminary test of engagement and effectiveness of a newly developed 16-week PSP delivered via the digital platform Sidekick Health. Methods Participants were recruited via Finnish IBD patient association websites and social media (advertisements through Facebook and Instagram). Participants entered baseline characteristics upon program signup. Platform engagement was automatically tracked, and participants reported stress, energy levels (fatigue), and quality of sleep through the platform. Results An intention to treat (ITT) sample included 205 participants. Eighty people completed the required outcome measures during weeks 12-16 (completers). More women than men took part (61.5%) with the average age of 40.3 years (mean, SD=11.5) and average BMI of 27.9 (mean, SD=6.0). ITT analyses showed significant improvements in ratings of stress (t(204)=3.488; p<0.01, percentage change=-9.52%), and energy levels (t(204)=-2.381; p<0.05, percentage change=4.60%). No significant difference was observed in quality of sleep (t(204)=-1.368; p=0.173). For completers (n=80), significant improvements were observed for stress (t(79)=4.574; p<0.01, percentage change=-23.26%) and energy levels (t(79)=-2.440; p<0.05, percentage change=9.48%) but not for quality of sleep (t(79)=-1.319; p=0.191). Conclusion These results indicate that participation in the Sidekick Health PSP for IBD has significant positive effects on patient-reported stress and energy levels. These findings are promising and provide initial support for using this digital platform for supplementing standard care for IBD patients.

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Ha, Inay, Kyeong-Jin Oh, and Geun-Sik Jo. "Personalized advertisement system using social relationship based user modeling." Multimedia Tools and Applications 74, no. 20 (September 27, 2013): 8801–19. http://dx.doi.org/10.1007/s11042-013-1691-6.

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Dāvida, Zanda. "Consumer Rights and Personalised Advertising: Risk of Exploiting Consumer Vulnerabilities." SOCRATES. Rīgas Stradiņa universitātes Juridiskās fakultātes elektroniskais juridisko zinātnisko rakstu žurnāls / SOCRATES. Rīga Stradiņš University Faculty of Law Electronic Scientific Journal of Law 1, no. 16 (2020): 76–86. http://dx.doi.org/10.25143/socr.16.2020.1.076-086.

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Have you ever received a frighteningly personalised advertisement with a specific product at the moment when you are thinking about buying that product? Digital technologies have huge positive potential, but their uncontrolled use poses many risks. However, the notion that the current direction of technological development is unavoidable and that the problematic aspects of technology simply need to be tolerated poses a much greater threat to the future. Therefore, this paper discusses one of the risks – personalised advertising that seeks to exploit consumer vulnerabilities. Thereby, the aim of the article is to analyse legal problems of targeted and personalised advertising that seeks to exploit consumer vulnerabilities and to propose ways to solve the identified problems. In the article, the author puts forward a thesis (hypothesis) that consumers should be protected from personalised and targeted online advertisements that seek to exploit their vulnerabilities. The hypothesis of the article is confirmed. Therefore, the article identifies four ways that, in the author’s opinion, will improve or will provide consumer protection from personalised advertising that seeks to exploit consumer vulnerabilities. In addition, to fully reach the aim of the article, the author analyses the concept of consumer vulnerability. In brief, the article affirms that all of us can be vulnerable in a situation. Therefore, the article applies to all of us. Vai Jūs kādreiz esat saņēmis biedējoši personalizētas reklāmas ar konkrētu preču vai pakalpojumu piedāvājumiem tieši tajā brīdī, kad Jūs domājat par šīs preces vai pakalpojuma iegādi? Digitālajām tehnoloģijām ir liels pozitīvs potenciāls, bet vienlaikus tās rada daudzus to nekontrolējamas izmantošanas riskus. Tomēr daudz lielākus draudus nākotnei rada uzskats, ka pašreizējais tehnoloģiju attīstības virziens ir neizbēgams un ka tehnoloģiju lietošanas negatīvās blaknes ir vienkārši jāpieņem. Šī raksta ietvaros tiek analizēts viens no šiem riskiem, proti, tehnoloģiskā prakse attiecībā uz personalizētajām reklāmām, kuras balstās vai ir tendētas uz patērētāja mazaizsargātības (ievainojamības) izmantošanu, kā arī analizēta šīs prakses tiesiskā problemātika un piedāvāti identificēto problēmu risinājumi. Rakstā tiek izvirzīta hipotēze, ka patērētāji ir jāaizsargā no šādām personalizētām reklāmām, un piedāvāti četri tiesību izpratnes veidi, kas varētu uzlabot patērētāju tiesību aizsardzību no tām. Lai pilnībā atklātu raksta mērķi, papildus tiek analizēts patērētāja mazaizsargātības koncepts, savukārt secinājumos apstiprināts, ka mēs visi varam būt mazaizsargāti kādā konkrētā situācijā. Līdz ar to šis raksts ir aktuāls mums visiem.

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Kim, Jongwoo, and Sanggil Kang. "An ontology-based personalized target advertisement system on interactive TV." Multimedia Tools and Applications 64, no. 3 (December 16, 2011): 517–34. http://dx.doi.org/10.1007/s11042-011-0965-0.

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Kilic, Kemal, Menekse G. Saygi, and Semih O. Sezer. "A mathematical model for personalized advertisement in virtual reality environments." Mathematical Methods of Operations Research 85, no. 2 (January 4, 2017): 241–64. http://dx.doi.org/10.1007/s00186-016-0567-8.

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Kilic, Kemal, and Onur Bozkurt. "Computational Intelligence Based Decision Support Tool for Personalized Advertisement Assignment System." International Journal of Computational Intelligence Systems 6, no. 3 (May 2013): 396–410. http://dx.doi.org/10.1080/18756891.2013.780725.

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Giannetti, Fabio. "Mapping strategy for web-driven magazines with personalized advertisement and content." Multimedia Tools and Applications 43, no. 3 (April 1, 2009): 327–43. http://dx.doi.org/10.1007/s11042-009-0269-9.

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You, Soeun, Taeha Kim, and Hoon S. Cha. "The Smartphone User’s Dilemma among Personalization, Privacy, and Advertisement Fatigue : An Empirical Examination of Personalized Smartphone Advertisement." Information Systems Review 17, no. 2 (August 31, 2015): 77–100. http://dx.doi.org/10.14329/isr.2015.17.2.077.

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Fernandez Espinosa, Daniela, and Lu Xiao. "Twitter Users’ Privacy Concerns: What do Their Accounts’ First Names Tell Us?" Journal of Data and Information Science 3, no. 1 (March 13, 2018): 40–53. http://dx.doi.org/10.2478/jdis-2018-0003.

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Abstract Purpose In this paper, we describe how gender recognition on Twitter can be used as an intelligent business tool to determine the privacy concerns among users, and ultimately offer a more personalized service for customers who are more likely to respond positively to targeted advertisements. Design/methodology/approach We worked with two different data sets to examine whether Twitter users’ gender, inferred from the first name of the account and the profile description, correlates with the privacy setting of the account. We also used a set of features including the inferred gender of Twitter users to develop classifiers that predict user privacy settings. Findings We found that the inferred gender of Twitter users correlates with the account’s privacy setting. Specifically, females tend to be more privacy concerned than males. Users whose gender cannot be inferred from their provided first names tend to be more privacy concerned. In addition, our classification performance suggests that inferred gender can be used as an indicator of the user’s privacy preference. Research limitations It is known that not all twitter accounts are real user accounts, and social bots tweet as well. A major limitation of our study is the lack of consideration of social bots in the data. In our study, this implies that at least some percentage of the undefined accounts, that is, accounts that had names non-existent in the name dictionary, are social bots. It will be interesting to explore the privacy setting of social bots in the Twitter space. Practical implications Companies are investing large amounts of money in business intelligence tools that allow them to know the preferences of their consumers. Due to the large number of consumers around the world, it is very difficult for companies to have direct communication with each customer to anticipate market changes. For this reason, the social network Twitter has gained relevance as one ideal tool for information extraction. On the other hand, users’ privacy preference needs to be considered when companies consider leveraging their publicly available data. This paper suggests that gender recognition of Twitter users, based on Twitter users’ provided first names and their profile descriptions, can be used to infer the users’ privacy preference. Originality/value This study explored a new way of inferring Twitter user’s gender, that is, to recognize the user’s gender based on the provided first name and the user’s profile description. The potential of this information for predicting the user’s privacy preference is explored.

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Wang, Liming, Yanni Liu, and Jicheng Wu. "Research on financial advertisement personalised recommendation method based on customer segmentation." International Journal of Wireless and Mobile Computing 14, no. 1 (2018): 97. http://dx.doi.org/10.1504/ijwmc.2018.090005.

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Wu, Jicheng, Liming Wang, and Yanni Liu. "Research on financial advertisement personalised recommendation method based on customer segmentation." International Journal of Wireless and Mobile Computing 14, no. 1 (2018): 97. http://dx.doi.org/10.1504/ijwmc.2018.10011092.

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Choi, Isabella, David N. Milne, Mark Deady, Rafael A. Calvo, Samuel B. Harvey, and Nick Glozier. "Impact of Mental Health Screening on Promoting Immediate Online Help-Seeking: Randomized Trial Comparing Normative Versus Humor-Driven Feedback." JMIR Mental Health 5, no. 2 (April 5, 2018): e26. http://dx.doi.org/10.2196/mental.9480.

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Background Given the widespread availability of mental health screening apps, providing personalized feedback may encourage people at high risk to seek help to manage their symptoms. While apps typically provide personal score feedback only, feedback types that are user-friendly and increase personal relevance may encourage further help-seeking. Objective The aim of this study was to compare the effects of providing normative and humor-driven feedback on immediate online help-seeking, defined as clicking on a link to an external resource, and to explore demographic predictors that encourage help-seeking. Methods An online sample of 549 adults were recruited using social media advertisements. Participants downloaded a smartphone app known as “Mindgauge” which allowed them to screen their mental wellbeing by completing standardized measures on Symptoms (Kessler 6-item Scale), Wellbeing (World Health Organization [Five] Wellbeing Index), and Resilience (Brief Resilience Scale). Participants were randomized to receive normative feedback that compared their scores to a reference group or humor-driven feedback that presented their scores in a relaxed manner. Those who scored in the moderate or poor ranges in any measure were encouraged to seek help by clicking on a link to an external online resource. Results A total of 318 participants scored poorly on one or more measures and were provided with an external link after being randomized to receive normative or humor-driven feedback. There was no significant difference of feedback type on clicking on the external link across all measures. A larger proportion of participants from the Wellbeing measure (170/274, 62.0%) clicked on the links than the Resilience (47/179, 26.3%) or Symptoms (26/75, 34.7%) measures (χ2=60.35, P<.001). There were no significant demographic factors associated with help-seeking for the Resilience or Wellbeing measures. Participants with a previous episode of poor mental health were less likely than those without such history to click on the external link in the Symptoms measure (P=.003, odds ratio [OR] 0.83, 95% CI 0.02-0.44), and younger adults were less likely to click on the link compared to older adults across all measures (P=.005, OR 0.44, 95% CI 0.25-0.78). Conclusions This pilot study found that there was no difference between normative and humor-driven feedback on promoting immediate clicks to an external resource, suggesting no impact on online help-seeking. Limitations included: lack of personal score control group, limited measures of predictors and potential confounders, and the fact that other forms of professional help-seeking were not assessed. Further investigation into other predictors and factors that impact on help-seeking is needed. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12616000707460; https://www.anzctr.org.au/ Trial/Registration/TrialReview.aspx?id=370187 (Archived by WebCite at http://www.webcitation.org/6y8m8sVxr)

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