Changing Patterns of News Consumption and Participation

Thorson, Emily

doi:10.1080/13691180801999027

Cited by 100 publications

(66 citation statements)

References 16 publications

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“…e long-term interests represent the transition probabilities in the long-run between news categories. Aligned with the literature [6,34], this reading behavior converges to few most preferred categories chosen in recommendations. However, such behavior is not sensitive to local strong trends such as season-induced changes that could temporally modify the most likely transitions.…”

Section: Recommendation Policy Comparisonmentioning

confidence: 99%

Recommending Personalized News in Short User Sessions

Epure

Kille

Ingvaldsen

et al. 2017

Proceedings of the Eleventh ACM Conference on Recommender Systems

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News organizations employ personalized recommenders to target news articles to speci c readers and thus foster engagement. Existing approaches rely on extensive user pro les. However frequently possible, readers rarely authenticate themselves on news publishers' websites. is paper proposes an approach for such cases. It provides a basic degree of personalization while complying with the key characteristics of news recommendation including news popularity, recency, and the dynamics of reading behavior. We extend existing research on the dynamics of news reading behavior by focusing both on the progress of reading interests over time and their relations. Reading interests are considered in three levels: short-, medium-, and long-term. Combinations of these are evaluated in terms of added value to the recommendation's performance and ensured news variety. Experiments with 17-month worth of logs from a German news publisher show that most frequent relations between news reading interests are constant in time but their probabilities change. Recommendations based on combined shortterm and long-term interests result in increased accuracy while recommendations based on combined short-term and medium-term interests yield higher news variety.

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Section: Recommendation Policy Comparisonmentioning

confidence: 99%

Recommending Personalized News in Short User Sessions

Epure

Kille

Ingvaldsen

et al. 2017

Proceedings of the Eleventh ACM Conference on Recommender Systems

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“…Other studies focus on the impact of public endorsement on site navigation and reader's attitudes (see Hallahan 1999, andJohnson andKaye 2004), which also seem to affect individual patterns of news consumption (e.g., Thorson 2008;Jeon and Esfahani 2012). Other studies using aggregate level data find limited association between Facebook and engagement on third-party news sites based on direct referrals Mahmood 2016, Mitchell et al 2014a).…”

Section: Literature Reviewmentioning

confidence: 99%

Will They Come and Will They Stay? Online Social Networks and News Consumption on External Websites

Mahmood¹,

Sismeiro²

2017

Journal of Interactive Marketing

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This is the accepted version of the paper.This version of the publication may differ from the final published version. This study explores the role of online engagement, homophily and social influence in explaining traffic and news consumption by social network users at an external news website. The authors jointly model visits and page views for a panel of users who registered with the news site using their Facebook accounts. In their model, the authors account for homophily using a latent space approach, and account for endogeneity, heterogeneity, and unobservable correlates. The results show that measures of an individual's activity on Facebook are positively associated with that individual's actions at the news site. In addition, knowing what a user's Facebook friends do at the content website provides insights into a focal user's behavior at that website, as visitors with friends who visit external news sites are more likely to visit the news website studied. In addition, news consumption (not just visits) also depends on friend's actions but such an impact varies with the individual's underlying browsing mode. We highlight the importance of social influence in news consumption and further show that homophily bias in news consumption is similar to prior research in other categories. Our study also highlights that visitors' past browsing patterns are important predictors of future content consumption, although social network information significantly improves prediction beyond the effect of such more traditional behavioral metrics. Finally, we find that Managers can use readily available data for both prediction and targeting. Permanent repository link

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“…People tend to talk about unusual or surprising events to make sense of them (47,48). Previous research has found that surprising or counterintuitive news articles are more frequently shared (44,49) and that folktales and jokes are spread more widely if they have a contrasting event that creates surprise (50). …”

mentioning

confidence: 99%

Content Characteristics Driving the Diffusion of Antismoking Messages: Implications for Cancer Prevention in the Emerging Public Communication Environment

et al. 2013

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).This study examined how content characteristics of antitobacco messages affect smokers' selective exposure to and social sharing of those messages. Results from an experiment revealed that content features predicting smokers' selection of antismoking messages are different from those predicting whether those messages are shared. Antismoking messages smokers tend to select are characterized by strong arguments (odds ratio = 2.02, P = .02) and positive sentiments (odds ratio = 3.08, P = .03). Once selected, the messages more likely to be retransmitted by smokers were those with novel arguments (B = .83, P = .002) and positive sentiments (B = 1.65, P = .005). This research adds to the literature about the content characteristics driving the social diffusion of antitobacco messages and contributes to our understanding of the role of persuasive messages about smoking cessation in the emerging public communication environment. J Natl Cancer Inst Monogr 2013;47:182-187 Cigarette smoking remains the leading preventable cause of mortality in the United States and is a significant cancer risk factor. More than 90% of lung cancer is attributable to smoking tobacco, and tobacco use significantly increases the risk of developing all of the most commonly diagnosed forms of cancer (1). Thus, tobacco control efforts are critically important for cancer prevention. Tobacco control programs have historically relied heavily on traditional mass media to spread antitobacco messages (2-4). But Web 2.0 and the social media have resulted in rapid, profound changes in the media landscape (5-7). Implications for cancer prevention and tobacco control are just beginning to be understood.Rapid diffusion of new information technologies has created unprecedented opportunities for exposure to and sharing of antitobacco-related messages (ie, messages designed to prevent or curtail tobacco use). As of 2012, 81% of adults in the United States use the Internet, and 59% said they looked online for health-related topics (5). Of online adults, 67% reported using social networking sites such as Facebook or Twitter (8). According to a recent survey (9), 53% of US adults get news forwarded to them via e-mail or social networking sites; 36% share news with their social networks via those platforms. In sum, the production and dissemination of health information in general, and of antismoking information in particular, is no longer in the hands of a few experts or major corporations; individuals now actively seek out, generate, and share information across their social networks (7,10).For more than 2 decades, tobacco control researchers have examined how exposure to televised antitobacco advertising affects individuals' cigarette smoking attitudes and behaviors (2,(11)(12)(13)(14). Although television advertising remains a critical component of tobacco control campaigns, it is becoming increasingly important to measure and understand the impact of antitobacco-related information across digital media platforms and the interactions across these platforms...

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Changing Patterns of News Consumption and Participation

Cited by 100 publications

References 16 publications

Recommending Personalized News in Short User Sessions

Recommending Personalized News in Short User Sessions

Will They Come and Will They Stay? Online Social Networks and News Consumption on External Websites

Content Characteristics Driving the Diffusion of Antismoking Messages: Implications for Cancer Prevention in the Emerging Public Communication Environment

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