2019
DOI: 10.1080/1461670x.2019.1566871
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Fake News as Discursive Integration: An Analysis of Sites That Publish False, Misleading, Hyperpartisan and Sensational Information

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Cited by 145 publications
(118 citation statements)
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“…Other studies focused on investigating the effects of content characteristics. A content analysis of articles published in sites often considered as fake news sources during the 2016 presidential elections in the United States found that most articles published in these sites “employed moderate levels of sensationalism, clickbait, misleading content and partisan bias” and that partisan bias was the strongest predictor of social media engagement (Mourão & Robertson, , p. 14). Another study also noted that fake news articles tend to be more novel than real news, which can explain why they spread faster than real news (Vosoughi et al, ).…”
Section: Audiences and Messagesmentioning
confidence: 99%
See 1 more Smart Citation
“…Other studies focused on investigating the effects of content characteristics. A content analysis of articles published in sites often considered as fake news sources during the 2016 presidential elections in the United States found that most articles published in these sites “employed moderate levels of sensationalism, clickbait, misleading content and partisan bias” and that partisan bias was the strongest predictor of social media engagement (Mourão & Robertson, , p. 14). Another study also noted that fake news articles tend to be more novel than real news, which can explain why they spread faster than real news (Vosoughi et al, ).…”
Section: Audiences and Messagesmentioning
confidence: 99%
“…Studies have identified cognitive processes that make individuals more prone to the influence of fake news, such as confirmation bias, selective exposure, and lack of analytical thinking (Lazer et al, ; Pennycook & Rand, ; Spohr, ). Fake news also derives its power from its appeal to partisanship, perceived novelty, and repeated exposure facilitated by both bots and human users that share them in the online sphere (Mourão & Robertson, ; Pennycook et al, ; Vosoughi et al, ). While fact checking has also risen in response to fake news, it appears that corrections to wrong information only work on some individuals, such as those with higher levels of cognitive ability (Bode & Vraga, ; De keersmaecker & Roets, ; Graves & Cherubini, ; Nyhan & Reifler, ).…”
Section: Moving Forwardmentioning
confidence: 99%
“…While originally the term "fake news" was used to describe formats of political satire (e.g., Baym 2005), during the 2016 US presidential elections, scholars and journalists adapted it to characterize made-up news articles (e.g., Mourão and Robertson 2019;Silverman 2016), such as for the infamous "pizzagate" story. Since then, these stories have spiraled into a salient public debate, in which citizens, politicians, journalists, and scholars have shared their concerns about the possibly detrimental influence of fake news on political events.…”
Section: The Fake News Genrementioning
confidence: 99%
“…For instance, the motivated account of reasoning holds that people may accept epistemically suspect beliefs such as fake news because these beliefs better suit their political preferences and priors (Kahan, 2017). Moreover, people might also share such false beliefs in order to signal their political identity or/and justify their pre-existing attitudes (Guess et al, 2019;Mourão & Robertson, 2019;Shin & Thorson, 2017).…”
Section: Content Differencesmentioning
confidence: 99%