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1. Attacking Fake News Detectors via Manipulating News Social Engagement

   https://doi.org/10.1145/3543507.3583868  

   Wang, Haoran; Dou, Yingtong; Chen, Canyu; Sun, Lichao; Yu, Philip S.; Shu, Kai (April 2023, ACM)
2. Attacking Fake News Detectors via Manipulating News Social Engagement

   Wang, H.; Dou, Y.; Chen, C.; Sun, L.; Shu, K.; Yu, Philip S. (May 2023, Web Conference (WWW))
3. News source bias and sentiment on social media

   https://doi.org/10.1371/journal.pone.0305148  

   Knutson, Brian; Hsu, Tiffany W; Ko, Michael; Tsai, Jeanne L (October 2024, PLOS ONE)

   Candido, Silvio_Eduardo Alvarez (Ed.)

   As social media becomes a key channel for news consumption and sharing, proliferating partisan and mainstream news sources must increasingly compete for users’ attention. While affective qualities of news content may promote engagement, it is not clear whether news source bias influences affective content production or virality, or whether any differences have changed over time. We analyzed the sentiment of ~30 million posts (ontwitter.com) from 182 U.S. news sources that ranged from extreme left to right bias over the course of a decade (2011–2020). Biased news sources (on both left and right) produced more high arousal negative affective content than balanced sources. High arousal negative content also increased reposting for biased versus balanced sources. The combination of increased prevalence and virality for high arousal negative affective content was not evident for other types of affective content. Over a decade, the virality of high arousal negative affective content also increased, particularly in balanced news sources, and in posts about politics. Together, these findings reveal that high arousal negative affective content may promote the spread of news from biased sources, and conversely imply that sentiment analysis tools might help social media users to counteract these trends. 

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4. Reluctant to Share: How Third Person Perceptions of Fake News Discourage News Readers From Sharing “Real News” on Social Media

   https://doi.org/10.1177/2056305120955173  

   Yang, Fan; Horning, Michael (July 2020, Social Media + Society)

   null (Ed.)

   Rampant fake news on social media has drawn significant attention. Yet, much remains unknown as to how such imbalanced evaluations of self versus others could shape social media users’ perceptions and their subsequent attitudes and behavioral intentions regarding social media news. An online survey ( N = 335) was conducted to examine the third person effect (TPE) in fake news on social media and suggested that users perceived a greater influence of fake news on others than on themselves. However, although users evaluated fake news as socially undesirable, they were still unsupportive of government censorship as a remedy. In addition, the perceived prevalence of fake news leads audiences to reported significantly less willingness to share all news on social media either online or offline. 

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5. Digital platforms in the news industry: how social media platforms impact traditional media news viewership

   https://doi.org/10.1080/0960085X.2022.2103046  

   Ren, Jie; Dong, Hang; Popovic, Ales; Sabnis, Gaurav; Nickerson, Jeffrey V. (January 2024, European Journal of Information Systems)