scholarly journals Beyond “fake news”: The role of analytic thinking in the detection of inaccuracy and partisan bias in news headlines

2019 ◽  
Author(s):  
Robert M Ross ◽  
David Gertler Rand ◽  
Gordon Pennycook
Keyword(s):  
Social Media ◽  
Fake News ◽  
Analytic Thinking ◽  
Total N ◽  
Partisan Bias ◽  
News Content ◽  
Political Bias ◽  
Political Partisanship ◽  
News Headlines

Why is misleading partisan content believed and shared? An influential account posits that political partisanship pervasively biases reasoning, such that engaging in analytic thinking exacerbates motivated reasoning and, in turn, the acceptance of hyperpartisan content. Alternatively, it may be that susceptibility to hyperpartisan misinformation is explained by a lack of reasoning. Across two studies using different subject pools (total N = 1977), we had participants assess true, false, and hyperpartisan headlines taken from social media. We found no evidence that analytic thinking was associated with increased polarization for either judgments about the accuracy of the headlines or willingness to share the news content on social media. Instead, analytic thinking was broadly associated with an increased capacity to discern between true headlines and either false or hyperpartisan headlines. These results suggest that reasoning typically helps people differentiate between low and high quality news content, rather than facilitating political bias.

scholarly journals Character Deprecation in Fake News: Is it in Supply or Demand?

2020 ◽  
Author(s):  
Jonathon McPhetres ◽  
David Gertler Rand ◽  
Gordon Pennycook
Keyword(s):  
Social Media ◽  
Policy Implications ◽  
Fake News ◽  
Major Focus ◽  
Analytic Thinking ◽  
Online Sources

A major focus of current research is understanding why people fall for and share fake news on social media. While much research focuses on understanding the role of personality-level traits for those who share the news, such as partisanship and analytic thinking, characteristics of the articles themselves have not been studied. Across two pre-registered studies, we examined whether character deprecation headlines—headlines designed to deprecate someone’s character, but which have no impact on policy or legislation—increased the likelihood of self-reported sharing on social media. In Study 1 we harvested fake news from online sources and compared sharing intentions between Republicans and Democrats. Results showed that, compared to Democrats, Republicans had greater intention to share character-deprecation headlines compared to news with policy implications. We then applied these findings experimentally. In Study 2 we developed a set of fake news that was matched for content across pro-Democratic and pro-Republican headlines and across news focusing on a specific person (e.g., Trump) versus a generic person (e.g., a Republican). We found that, contrary to Study 1, Republicans were no more inclined toward character deprecation than Democrats. However, these findings suggest that while character assassination may be a feature of pro-Republican news, it is not more attractive to Republicans versus Democrats. News with policy implications, whether fake or real, seems consistently more attractive to members of both parties regardless of whether it attempts to deprecate an opponent’s character. Thus, character-deprecation in fake news may in be in supply, but not in demand.

Evaluating the Role of News Content and Social Media Interactions for Fake News Detection

2021 ◽  
pp. 128-141
Author(s):  
Catherine Sotirakou ◽  
Anastasia Karampela ◽  
Constantinos Mourlas
Keyword(s):  
Social Media ◽  
Fake News ◽  
News Content

scholarly journals Character deprecation in fake news: Is it in supply or demand?

2021 ◽  
Vol 24 (4) ◽  
pp. 624-637
Author(s):  
Jonathon McPhetres ◽  
David G. Rand ◽  
Gordon Pennycook
Keyword(s):  
Social Media ◽  
Policy Implications ◽  
Fake News ◽  
Major Focus ◽  
Analytic Thinking ◽  
Online Sources

A major focus of current research is understanding why people fall for and share fake news on social media. While much research focuses on understanding the role of personality-level traits for those who share the news, such as partisanship and analytic thinking, characteristics of the articles themselves have not been studied. Across two pre-registered studies, we examined whether character-deprecation headlines – headlines designed to deprecate someone’s character, but which have no impact on policy or legislation – increased the likelihood of self-reported sharing on social media. In Study 1 we harvested fake news items from online sources and compared sharing intentions between Republicans and Democrats. Results showed that, compared to Democrats, Republicans had greater intention to share character-deprecation headlines compared to news with policy implications. We then applied these findings experimentally. In Study 2 we developed a set of fake news items that was matched for content across pro-Democratic and pro-Republican headlines and across news focusing on a specific person (e.g., Trump) versus a generic person (e.g., a Republican). We found that, contrary to Study 1, Republicans were no more inclined toward character deprecation than Democrats. However, these findings suggest that while character assassination may be a feature of pro-Republican news, it is not more attractive to Republicans versus Democrats. News with policy implications, whether fake or real, seems consistently more attractive to members of both parties regardless of whether it attempts to deprecate an opponent’s character. Thus, character deprecation in fake news may in be in supply, but not in demand.

scholarly journals A Practical Guide to Doing Behavioral Research on Fake News and Misinformation

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Gordon Pennycook ◽  
Jabin Binnendyk ◽  
Christie Newton ◽  
David G. Rand
Keyword(s):  
Social Media ◽  
Behavioral Research ◽  
Fake News ◽  
Short Term ◽  
Political Issues ◽  
News Content ◽  
Current Affairs ◽  
False News ◽  
News Headlines ◽  
Selection Of

Coincident with the global rise in concern about the spread of misinformation on social media, there has been influx of behavioral research on so-called “fake news” (fabricated or false news headlines that are presented as if legitimate) and other forms of misinformation. These studies often present participants with news content that varies on relevant dimensions (e.g., true v. false, politically consistent v. inconsistent, etc.) and ask participants to make judgments (e.g., accuracy) or choices (e.g., whether they would share it on social media). This guide is intended to help researchers navigate the unique challenges that come with this type of research. Principle among these issues is that the nature of news content that is being spread on social media (whether it is false, misleading, or true) is a moving target that reflects current affairs in the context of interest. Steps are required if one wishes to present stimuli that allow generalization from the study to the real-world phenomenon of online misinformation. Furthermore, the selection of content to include can be highly consequential for the study’s outcome, and researcher biases can easily result in biases in a stimulus set. As such, we advocate for pretesting materials and, to this end, report our own pretest of 224 recent true and false news headlines, both relating to U.S. political issues and the COVID-19 pandemic. These headlines may be of use in the short term, but, more importantly, the pretest is intended to serve as an example of best practices in a quickly evolving area of research.

scholarly journals A practical guide to doing behavioural research on fake news and misinformation

2020 ◽  
Author(s):  
Gordon Pennycook ◽  
Jabin Binnendyk ◽  
Christie Newton ◽  
David Gertler Rand
Keyword(s):  
Social Media ◽  
Fake News ◽  
Short Term ◽  
Political Issues ◽  
News Content ◽  
Current Affairs ◽  
Behavioural Research ◽  
False News ◽  
News Headlines ◽  
Selection Of

Coincident with the global rise in concern about the spread of misinformation on social media, there has been influx of behavioural research on so-called “fake news” (fabricated or false news headlines that are presented as if legitimate) and other forms of misinformation. These studies often present participants with news content that varies on relevant dimensions (e.g., true v. false, politically consistent v. inconsistent, etc.) and ask participants to make judgments (e.g., accuracy) or choices (e.g., whether they would share it on social media). This guide is intended to help researchers navigate the unique challenges that come with this type of research. Principle among these issues is that the nature of news content that is being spread on social media (whether it is false, misleading, or true) is a moving target that reflects current affairs in the context of interest. Steps are required if one wishes to present stimuli that allow generalization from the study to the real-world phenomenon. Furthermore, the selection of content to include can be highly consequential for the study’s outcome, and researcher biases can easily result in biases in a stimulus set. As such, we advocate for pretesting materials and, to this end, report our own pretest of 225 recent true and false news headlines, both relating to U.S. political issues and the COVID-19 pandemic. These headlines may be of use in the short term, but, more importantly, the pretest is intended to serve as an example of best practices in a quickly evolving area of research.

scholarly journals Hoax in Modern Politics

2019 ◽  
Vol 22 (2) ◽  
pp. 85 ◽  
Author(s):  
Pratiwi Utami
Keyword(s):  
Social Media ◽  
Source Material ◽  
Fake News ◽  
Contemporary Politics ◽  
Political Partisanship ◽  
Racial Issues ◽  
Practice Approach ◽  
History Of ◽  
Us Presidential Election

The propagation of hoaxes on social media has contributed to political tension in many countries. The 2016 US presidential election provides evidence of how fake news can generate more social media engagement than real news. In multicultural Indonesia, the history of anti-communist, anti-Christian, and anti-Chinese pogroms increases the level of sensitivity and sentiment, especially when dealing with racial issues. This paper explores the role of hoaxes in Indonesia’s contemporary politics. It investigates the characteristics of hoax information circulated on social media during the 2017 Jakarta election using a memetic practice approach. This study perceives hoaxes as having acted like memes in terms of the ways in which they dismantle existing source material to tap into ideas or sentiments people connect with. Hoaxes as memes alter original items into new forms of artifacts, with new messages that resonate with existing beliefs in society. Consequently, hoaxes can create a culture based on a shared belief among the community and, in the era of increasing polarization, a hoax has the potential to be a means of political partisanship. However, with the tendency to overpower the truth and lead people away from believing facts, hoaxes can be a threat to participatory democracy.

scholarly journals Perceived truth of statements and simulated social media postings: an experimental investigation of source credibility, repeated exposure, and presentation format

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Lena Nadarevic ◽  
Rolf Reber ◽  
Anne Josephine Helmecke ◽  
Dilara Köse
Keyword(s):  
Social Media ◽  
Source Credibility ◽  
Repeated Exposure ◽  
Presentation Format ◽  
The Internet ◽  
Additive Effects ◽  
Fake News ◽  
Source Information ◽  
Internet Age

Abstract To better understand the spread of fake news in the Internet age, it is important to uncover the variables that influence the perceived truth of information. Although previous research identified several reliable predictors of truth judgments—such as source credibility, repeated information exposure, and presentation format—little is known about their simultaneous effects. In a series of four experiments, we investigated how the abovementioned factors jointly affect the perceived truth of statements (Experiments 1 and 2) and simulated social media postings (Experiments 3 and 4). Experiment 1 explored the role of source credibility (high vs. low vs. no source information) and presentation format (with vs. without a picture). In Experiments 2 and 3, we additionally manipulated repeated exposure (yes vs. no). Finally, Experiment 4 examined the role of source credibility (high vs. low) and type of repetition (congruent vs. incongruent vs. no repetition) in further detail. In sum, we found no effect of presentation format on truth judgments, but strong, additive effects of source credibility and repetition. Truth judgments were higher for information presented by credible sources than non-credible sources and information without sources. Moreover, congruent (i.e., verbatim) repetition increased perceived truth whereas semantically incongruent repetition decreased perceived truth, irrespectively of the source. Our findings show that people do not rely on a single judgment cue when evaluating a statement’s truth but take source credibility and their meta-cognitive feelings into account.

scholarly journals Pupils’ Use of Social Media and Its Relation to Mental Health from a School Personnel Perspective: A Preliminary Qualitative Study

2021 ◽  
Vol 18 (17) ◽  
pp. 9163
Author(s):  
Gunnhild Johnsen Hjetland ◽  
Viktor Schønning ◽  
Bodil Elisabeth Valstad Aasan ◽  
Randi Træland Hella ◽  
Jens Christoffer Skogen
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Mental Health Problems ◽  
School Personnel ◽  
Health Issues ◽  
Focus Group Interviews ◽  
Total N ◽  
Group Interviews ◽  
Use Of Social Media

The extent of mental health problems among adolescents seems to be on the rise, and this observed trend has often been linked to a coinciding increase in social media use. The goal of the current preliminary study was to investigate how senior high school personnel experience the role of social media in relation to the mental health of their pupils. Two focus group interviews (total n = 11) were completed and analyzed using reflexive thematic analysis, resulting in 4 themes and 11 subthemes. The results illustrate that school personnel experience social media as a tool for communication, but also as a potential cause of mental health issues and reduced academic performance among pupils. The participants called for schools to become better equipped to meet the opportunities and challenges of social media.

Attracting the news: Algorithms, platforms, and reframing incidental exposure

Journalism ◽  
2020 ◽  
Vol 21 (8) ◽  
pp. 1067-1082 ◽  
Author(s):  
Kjerstin Thorson
Keyword(s):  
Social Media ◽  
Accidental Exposure ◽  
News Content ◽  
New Approaches ◽  
Incidental Exposure

This article argues for new approaches to the study of incidental exposure that better account for the role of algorithms, platforms, and processes of datafication in shaping the likelihood of news exposure online. It offers a critique of three themes prominent in the incidental exposure literature: (1) incidental exposure connotes accidental exposure to news on social media, (2) news content is ubiquitous on social media, and (3) incidental exposure can be conceptually distinguished from intentional exposure to news on social media. This article proposes a new metaphor to reframe research on incidental exposure: ‘attraction’ to news.

Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media: Effects of Truth-Bias and Endorsement Cues

2020 ◽  
pp. 009365022092132
Author(s):  
Mufan Luo ◽  
Jeffrey T. Hancock ◽  
David M. Markowitz
Keyword(s):  
Social Media ◽  
Deception Detection ◽  
Detection Accuracy ◽  
Fake News ◽  
Default Theory ◽  
Impact Detection ◽  
Truth Bias ◽  
News Credibility ◽  
Biased Processing ◽  
News Headlines

This article focuses on message credibility and detection accuracy of fake and real news as represented on social media. We developed a deception detection paradigm for news headlines and conducted two online experiments to examine the extent to which people (1) perceive news headlines as credible, and (2) accurately distinguish fake and real news across three general topics (i.e., politics, science, and health). Both studies revealed that people often judged news headlines as fake, suggesting a deception-bias for news in social media. Across studies, we observed an average detection accuracy of approximately 51%, a level consistent with most research using this deception detection paradigm with equal lie-truth base-rates. Study 2 evaluated the effects of endorsement cues in social media (e.g., Facebook likes) on message credibility and detection accuracy. Results showed that headlines associated with a high number of Facebook likes increased credibility, thereby enhancing detection accuracy for real news but undermining accuracy for fake news. These studies introduce truth-default theory to the context of news credibility and advance our understanding of how biased processing of news information can impact detection accuracy with social media endorsement cues.

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