Distinguishing the binary of news – fake and real: The illusory truth effect

2020 ◽  
Vol 00 (00) ◽  
pp. 1-22
Author(s):  
Yanfang Wu

This study seeks to uncover the effects of source and repetition on the illusory truth effect and the dissemination of fake news on social media with an online experiment. This study found that in a personalized source system where trustworthy traditional news sources and personal contacts converged on social media, repetition has a big influence on the trustworthiness of news source and balance of news story. Although most people intend to share real news stories with balance, the illusory truth effect causes mis-judgement, which makes fake news more likely to go viral than real news. The multi-group SEM analysis of the two groups – without source and with source – showed that readers in the no source group rated the effect of repetition on news evaluation as more significant than the with source group. The findings suggest that the effect of source has diminished in the evaluation of news quality. However, sharers on social media are becoming more influential.

Author(s):  
Sylvia Chan-Olmsted ◽  
Yufan Sunny Qin

The increasing use of social media has led to the growing reliance of social media as a news source. The viral nature of social platforms inevitably elevates the viral impact of fake news. As both academia and practitioners touted media literacy as a means of combating fake news or misinformation, little is known about the nature of relevant efficacies. Existent literature points to the plausible contribution of media consumption, self-efficacy of fake news and perceived impact of fake news in this process. Therefore, this study explored the relationship between consumers’ news consumption, such as fake news experiences/perceptions, news sources and news consumption motives; and fake news perceptions like self-efficacy and impacts. This study conducted an online survey to examine the proposed hypotheses and research questions. The findings suggest that consumers’ previous experiences and consumption motives are connected with their perceived effects and efficacy of fake news. In addition, different news sources (i.e. mainstream media and social media) exert diverse effects on fake news self-efficacy.


Author(s):  
Maria del Mar Ramirez-Alvarado

This chapter analyses the concept of post-truth related to the circumstances in which objective facts are less influential in the formation of public opinion than emotional appeals and personal beliefs, and the subsequent projection of this phenomenon in social media, as various studies have demonstrated that some fake news stories generate more engagement from users than vetted reporting from reliable news sources. This will start from a general introduction and an associated theoretical reflection, and then focus on the case of Venezuela and its recent historical circumstances in order to analyze how fake news circulates in this country stimulated by a context of widespread disinformation.


2020 ◽  
Vol 45 (s1) ◽  
pp. 694-717
Author(s):  
Nicoleta Corbu ◽  
Alina Bârgăoanu ◽  
Raluca Buturoiu ◽  
Oana Ștefăniță

AbstractThis study examines the potential of fake news to produce effects on social media engagement as well as the moderating role of education and government approval. We report on a 2x2x2 online experiment conducted in Romania (N=813), in which we manipulated the level of facticity of a news story, its valence, and intention to deceive. Results show that ideologically driven news with a negative valence (rather than fabricated news or other genres, such as satire and parody) have a greater virality potential. However, neither the level of education nor government approval moderate this effect. Additionally, both positive and negative ideologically driven news stories enhance the probability that people will sign a document to support the government (i. e., potential for political engagement on social media). These latter effects are moderated by government approval: Lower levels of government approval lead to less support for the government on social media, as a consequence of fake news exposure.


2019 ◽  
Vol 116 (7) ◽  
pp. 2521-2526 ◽  
Author(s):  
Gordon Pennycook ◽  
David G. Rand

Reducing the spread of misinformation, especially on social media, is a major challenge. We investigate one potential approach: having social media platform algorithms preferentially display content from news sources that users rate as trustworthy. To do so, we ask whether crowdsourced trust ratings can effectively differentiate more versus less reliable sources. We ran two preregistered experiments (n = 1,010 from Mechanical Turk and n = 970 from Lucid) where individuals rated familiarity with, and trust in, 60 news sources from three categories: (i) mainstream media outlets, (ii) hyperpartisan websites, and (iii) websites that produce blatantly false content (“fake news”). Despite substantial partisan differences, we find that laypeople across the political spectrum rated mainstream sources as far more trustworthy than either hyperpartisan or fake news sources. Although this difference was larger for Democrats than Republicans—mostly due to distrust of mainstream sources by Republicans—every mainstream source (with one exception) was rated as more trustworthy than every hyperpartisan or fake news source across both studies when equally weighting ratings of Democrats and Republicans. Furthermore, politically balanced layperson ratings were strongly correlated (r = 0.90) with ratings provided by professional fact-checkers. We also found that, particularly among liberals, individuals higher in cognitive reflection were better able to discern between low- and high-quality sources. Finally, we found that excluding ratings from participants who were not familiar with a given news source dramatically reduced the effectiveness of the crowd. Our findings indicate that having algorithms up-rank content from trusted media outlets may be a promising approach for fighting the spread of misinformation on social media.


2020 ◽  
pp. 107769902095212
Author(s):  
Stephanie Jean Tsang

An online experiment ( N = 280) exposed participants in Hong Kong to an anti-police WhatsApp news message during the extradition bill controversy. Although source verification is commonly recommended as a strategy to avoid being deceived by fake news, the findings did not reveal that the news source (legacy news outlet vs. online forum vs. no source) impacted the perceived fakeness of the news message. Nonetheless, participants holding opposing stances were found to perceive the same news message to be fake to significantly varying degrees, providing evidence that motivated reasoning plays in the spread of fake news.


2019 ◽  
Vol 8 (1) ◽  
pp. 114-133

Since the 2016 U.S. presidential election, attacks on the media have been relentless. “Fake news” has become a household term, and repeated attempts to break the trust between reporters and the American people have threatened the validity of the First Amendment to the U.S. Constitution. In this article, the authors trace the development of fake news and its impact on contemporary political discourse. They also outline cutting-edge pedagogies designed to assist students in critically evaluating the veracity of various news sources and social media sites.


2018 ◽  
Vol 41 (5) ◽  
pp. 689-707
Author(s):  
Tanya Notley ◽  
Michael Dezuanni

Social media use has redefined the production, experience and consumption of news media. These changes have made verifying and trusting news content more complicated and this has led to a number of recent flashpoints for claims and counter-claims of ‘fake news’ at critical moments during elections, natural disasters and acts of terrorism. Concerns regarding the actual and potential social impact of fake news led us to carry out the first nationally representative survey of young Australians’ news practices and experiences. Our analysis finds that while social media is one of young people’s preferred sources of news, they are not confident about spotting fake news online and many rarely or never check the source of news stories. Our findings raise important questions regarding the need for news media literacy education – both in schools and in the home. Therefore, we consider the historical development of news media literacy education and critique the relevance of dominant frameworks and pedagogies currently in use. We find that news media has become neglected in media literacy education in Australia over the past three decades, and we propose that current media literacy frameworks and pedagogies in use need to be rethought for the digital age.


Author(s):  
Kristy A. Hesketh

This chapter explores the Spiritualist movement and its rapid growth due to the formation of mass media and compares these events with the current rise of fake news in the mass media. The technology of cheaper publications created a media platform that featured stories about Spiritualist mediums and communications with the spirit world. These articles were published in newspapers next to regular news creating a blurred line between real and hoax news stories. Laws were later created to address instances of fraud that occurred in the medium industry. Today, social media platforms provide a similar vessel for the spread of fake news. Online fake news is published alongside legitimate news reports leaving readers unable to differentiate between real and fake articles. Around the world countries are actioning initiatives to address the proliferation of false news to prevent the spread of misinformation. This chapter compares the parallels between these events, how hoaxes and fake news begin and spread, and examines the measures governments are taking to curb the growth of misinformation.


2020 ◽  
Vol 17 (167) ◽  
pp. 20200020
Author(s):  
Michele Coscia ◽  
Luca Rossi

Many people view news on social media, yet the production of news items online has come under fire because of the common spreading of misinformation. Social media platforms police their content in various ways. Primarily they rely on crowdsourced ‘flags’: users signal to the platform that a specific news item might be misleading and, if they raise enough of them, the item will be fact-checked. However, real-world data show that the most flagged news sources are also the most popular and—supposedly—reliable ones. In this paper, we show that this phenomenon can be explained by the unreasonable assumptions that current content policing strategies make about how the online social media environment is shaped. The most realistic assumption is that confirmation bias will prevent a user from flagging a news item if they share the same political bias as the news source producing it. We show, via agent-based simulations, that a model reproducing our current understanding of the social media environment will necessarily result in the most neutral and accurate sources receiving most flags.


2019 ◽  
Vol 6 (2) ◽  
pp. 205316801984855 ◽  
Author(s):  
Hunt Allcott ◽  
Matthew Gentzkow ◽  
Chuan Yu

In recent years, there has been widespread concern that misinformation on social media is damaging societies and democratic institutions. In response, social media platforms have announced actions to limit the spread of false content. We measure trends in the diffusion of content from 569 fake news websites and 9540 fake news stories on Facebook and Twitter between January 2015 and July 2018. User interactions with false content rose steadily on both Facebook and Twitter through the end of 2016. Since then, however, interactions with false content have fallen sharply on Facebook while continuing to rise on Twitter, with the ratio of Facebook engagements to Twitter shares decreasing by 60%. In comparison, interactions with other news, business, or culture sites have followed similar trends on both platforms. Our results suggest that the relative magnitude of the misinformation problem on Facebook has declined since its peak.


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