Selective Exposure in the Age of Social Media

By Solomon Messing, Sean J. Westwood. Communication Research, 2014

907 citations recorded by the source corpus.

Subfields: Communication, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/abf24f69fb82d0176f6c2bbb39b33911abad0e8e

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Citations in the corpus

"Together we are better": Professional learning networks for teachers (2016, background): “…cases, the technologies that are commonly utilized to build PLNs have actually been shown to expose users to a wider set of perspectives (Kop, 2012; Messing & Westwood 2012, Morris & Morris, 2013), and although our survey did not directly address this issue, a small number of our respondents…”
Accidental exposure to politics on social media as online participation equalizer in Germany, Italy, and the United Kingdom (2016, background): “Fourth, although individuals’ preferences4 for news versus entertainment have surely emerged as an important causal factor shaping citizens’ information and participation in the wake of Prior’s (2007) research, the role of fundamental political attitudes such as interest in politics should not be ov”
Creating News Literacy Messages to Enhance Expert Corrections of Misinformation on Twitter (2020, background): “Likewise, our manipulations lack social cues (e.g., favorites or re-tweets), which may impact the effects of the misinformation or corrections (e.g., Messing & Westwood, 2014), a question that we do not explore here.”
Shared identity and shared information in social media: development and validation of the identity bubble reinforcement scale (2018, background): “Series of experiments have shown that social endorsements play a major role in how people consume social media content (Messing & Westwood, 2014).”
Partisan Provocation: The Role of Partisan News Use and Emotional Responses in Political Information Sharing in Social Media (2016, background): “This socially shared political information is particularly important as it can act as a social signal of endorsement, or denial thereof, and shape reactions to the political news information, influencing how others select and respond to the information (Lee & Ma, 2012; Messing & Westwood, 2014).”
Are people incidentally exposed to news on social media? A comparative analysis (2018, background): “…on the extent to which people are exposed to political ideas that differ from their own, and in some cases, the effect this might have on political knowledge and participation (Bakshy et al., 2015; Barberá et al., 2015; Flaxman et al., 2016; Heatherly et al., 2017; Messing and Westwood, 2014).”
Selective use of news cues: : A multiple-motive perspective on information selection in social media environments (2016, background): “On one hand, highly recommended articles do not necessarily conform to one’s own viewpoint and thereby might increase exposure to diverse or new information (Messing & Westwood, 2014), at least if friend lists on social media are more diverse than assumptions of echo chambers suggest.”
Monitoring the Opinion of the Crowd: Psychological Mechanisms Underlying Public Opinion Perceptions on Social Media (2017, background): “…or videos (Fu, 2012) and a larger number of people explicitly recommending an online article (Knobloch-Westerwick, Sharma, Hansen, & Alter, 2005; Messing & Westwood, 2014) increase people’s likelihood to select this article or video for further reading/viewing or for consuming it for a longer…”
In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media (2015, background): “It is key that this change is obtained absent any heuristic cues from members of one’s social network (as in Messing & Westwood, 2014), but instead achieved through the articles suggested by Facebook’s algorithm.”
Facebook news and (de)polarization: reinforcing spirals in the 2016 US election (2018, background): “…has shown that individuals do see counter-attitudinal views in news feeds (Bakshy et al., 2015; Beam, 2014; Flaxman et al., 2016; Garrett, 2009; Garrett & Stroud, 2014; Gentzkow & Shapiro, 2011; Messing & Westwood, 2014), this would suggest that social media news use could result in depolarization.”
Curated Flows: A Framework for Mapping Media Exposure in the Digital Age (2016, background): “…a degree of parsimony necessary for theory building; the categories are thus starting points grounded in existing literature concerned with content flows over digital media (e.g., Bennett & Manheim, 2006; Messing & Westwood, 2012; Pariser, 2011; Prior, 2007; Shoemaker & Vos, 2009; Sunstein, 2001).”
Misinformation on Instagram: The Impact of Trusted Endorsements on Message Credibility (2020, background): “With the abundance of known and unknown sources presented on social media, people are relying more on endorsements from others to help in their selection of news content (Messing & Westwood, 2014), which may be a result of the effect endorsements have on credibility assessments.”
Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media: Effects of Truth-Bias and Endorsement Cues (2020, background): “Prior work suggests that traces of social media (e.g., number of views and likes) are cues that people use to judge the validity or value of online information (Messing & Westwood, 2014; Spartz et al., 2017), suggesting that they will likely play a crucial role in veracity judgments as well.”