Identity concerns drive belief: The impact of partisan identity on the belief and dissemination of true and false news

2018 ◽  
Author(s):  
Andrea Pereira ◽  
Jay Joseph Van Bavel ◽  
Elizabeth Ann Harris
Keyword(s):  
Social Media ◽  
Political System ◽  
Political Identity ◽  
Social Goals ◽  
Fake News ◽  
Political Beliefs ◽  
System P ◽  
False News ◽  
Democrats And Republicans ◽  
The Impact

Political misinformation, often called “fake news”, represents a threat to our democracies because it impedes citizens from being appropriately informed. Evidence suggests that fake news spreads more rapidly than real news—especially when it contains political content. The present article tests three competing theoretical accounts that have been proposed to explain the rise and spread of political (fake) news: (1) the ideology hypothesis— people prefer news that bolsters their values and worldviews; (2) the confirmation bias hypothesis—people prefer news that fits their pre-existing stereotypical knowledge; and (3) the political identity hypothesis—people prefer news that allows their political in-group to fulfill certain social goals. We conducted three experiments in which American participants read news that concerned behaviors perpetrated by their political in-group or out-group and measured the extent to which they believed the news (Exp. 1, Exp. 2, Exp. 3), and were willing to share the news on social media (Exp. 2 and 3). Results revealed that Democrats and Republicans were both more likely to believe news about the value-upholding behavior of their in-group or the value-undermining behavior of their out-group, supporting a political identity hypothesis. However, although belief was positively correlated with willingness to share on social media in all conditions, we also found that Republicans were more likely to believe and want to share apolitical fake new. We discuss the implications for theoretical explanations of political beliefs and application of these concepts in in polarized political system.

Identity concerns drive belief: The impact of partisan identity on the belief and dissemination of true and false news

2021 ◽  
pp. 136843022110300
Author(s):  
Andrea Pereira ◽  
Elizabeth Harris ◽  
Jay J. Van Bavel
Keyword(s):  
United States ◽  
Social Media ◽  
Political Identity ◽  
Confirmation Bias ◽  
The United States ◽  
The Political ◽  
Fake News ◽  
False News ◽  
Democrats And Republicans ◽  
The Impact

We test three competing theoretical accounts invoked to explain the rise and spread of political (mis)information. We compare the ideological values hypothesis (people prefer news that bolster their values and worldviews); the confirmation bias hypothesis (people prefer news that fit their preexisting stereotypical knowledge); and the political identity hypothesis (people prefer news that allow them to believe positive things about political ingroup members and negative things about political outgroup members). In three experiments ( N = 1,420), participants from the United States read news describing actions perpetrated by their political ingroup or outgroup. Consistent with the political identity hypothesis, Democrats and Republicans were both more likely to believe news about the value-upholding behavior of their ingroup or the value-undermining behavior of their outgroup. Belief was positively correlated with willingness to share on social media in all conditions, but Republicans were more likely to believe and want to share apolitical fake news.

Detecting Fake News on Social Media

2021 ◽  
pp. 49-67
Author(s):  
Esra Bozkanat
Keyword(s):  
Social Media ◽  
The Internet ◽  
Control Mechanisms ◽  
Fake News ◽  
Media Type ◽  
Lack Of Control ◽  
Fact Checking ◽  
False News ◽  
The Impact ◽  
Interactive Medium

As Web 2.0 technologies have turned the Internet into an interactive medium, users dominate the field. With the spread of social media, the Internet has become much more user-oriented. In contrast to traditional media, social media's lack of control mechanisms makes the accuracy of spreading news questionable. This brings us to the significance of fact-checking platforms. This study investigates the antecedents of spreading false news in Turkey. The purpose of the study is to determine the features of fake news. For this purpose, teyit.org, the biggest fact-checking platform in Turkey, has been chosen for analysis. The current study shows fake news to be detectable based on four features: Propagation, User Type, Social Media Type, and Formatting. According to the logistic regression analysis, the study's model obtained 86.7% accuracy. The study demonstrates that Facebook increases the likelihood of news being fake compared to Twitter or Instagram. Emoji usage is also statistically significant in terms of increasing the probability of fake news. Unexpectedly, the impact of photos or videos was found statistically insignificant.

scholarly journals The Impact of “Manipulated News” on Student Attitudes and Perceptions and Their Participation in the Umbrella Movement in Hong Kong

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110197
Author(s):  
Chesca Ka Po Wong ◽  
Runping Zhu ◽  
Richard Krever ◽  
Alfred Siu Choi
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Hong Kong ◽  
Survey Research ◽  
Student Attitudes ◽  
Qualitative Content Analysis ◽  
Fake News ◽  
Attitudes And Perceptions ◽  
The Impact ◽  
Potential Use

While the impact of fake news on viewers, particularly marginalized media users, has been a cause of growing concern, there has been little attention paid to the phenomenon of deliberately “manipulated” news published on social media by mainstream news publishers. Using qualitative content analysis and quantitative survey research, this study showed that consciously biased animated news videos released in the midst of the Umbrella Movement protests in Hong Kong impacted on both the attitudes of students and their participation in the protests. The findings raise concerns over potential use of the format by media owners to promote their preferred ideologies.

Fake news on Facebook: examining the impact of heuristic cues on perceived credibility and sharing intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khudejah Ali ◽  
Cong Li ◽  
Khawaja Zain-ul-abdin ◽  
Muhammad Adeel Zaffar
Keyword(s):  
Public Health ◽  
Social Media ◽  
Design Methodology ◽  
Fake News ◽  
Content Type ◽  
Perceived Credibility ◽  
News Credibility ◽  
The Impact ◽  
Practical Implications ◽  
Active Processing

PurposeAs the epidemic of online fake news is causing major concerns in contexts such as politics and public health, the current study aimed to elucidate the effect of certain “heuristic cues,” or key contextual features, which may increase belief in the credibility and the subsequent sharing of online fake news.Design/methodology/approachThis study employed a 2 (news veracity: real vs fake) × 2 (social endorsements: low Facebook “likes” vs high Facebook “likes”) between-subjects experimental design (N = 239).FindingsThe analysis revealed that a high number of Facebook “likes” accompanying fake news increased the perceived credibility of the material compared to a low number of “likes.” In addition, the mediation results indicated that increased perceptions of news credibility may create a situation in which readers feel that it is necessary to cognitively elaborate on the information present in the news, and this active processing finally leads to sharing.Practical implicationsThe results from this study help explicate what drives increased belief and sharing of fake news and can aid in refining interventions aimed at combating fake news for both communities and organizations.Originality/valueThe current study expands upon existing literature, linking the use of social endorsements to perceived credibility of fake news and information, and sheds light on the causal mechanisms through which people make the decision to share news articles on social media.

“Ridiculous and Untrue – FAKE NEWS!”

2019 ◽  
pp. 138-151
Author(s):  
Anna Grazulis ◽  
Ryan Rogers
Keyword(s):  
Social Media ◽  
Fake News ◽  
The Impact ◽  
Trump Administration

Beyond the spread of fake news, the term “fake news” has been used by people on social media and by people in the Trump administration to discredit reporting and show disagreement with the content of a story. This study offers a series of defining traits of fake news and a corresponding experiment testing its impact. Overall, this study shows that fake news, or at least labeling fake news can impact the gratifications people derive from news. Further, this study provides evidence that the impact of fake news might, in some cases, rely on whether or not the fake news complies with preexisting beliefs.

Spiritualism and the Resurgence of Fake News

2020 ◽  
pp. 222-237
Author(s):  
Kristy A. Hesketh
Keyword(s):  
Social Media ◽  
Mass Media ◽  
Fake News ◽  
News Stories ◽  
News Reports ◽  
The World ◽  
Spirit World ◽  
Social Media Platforms ◽  
Media Platform ◽  
False News

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.

Politicians' Expressions of Anger and Leadership Evaluations

2020 ◽  
Author(s):  
Lena Masch
Keyword(s):  
Political System ◽  
Party Leader ◽  
Heinrich Heine ◽  
Political Leaders ◽  
Social Democrats ◽  
System P ◽  
The Social ◽  
Angela Merkel ◽  
Emotional Behaviour ◽  
The Impact

This book explores the impact of politicians’ expressions of anger on viewers. Electoral candidates may alter their emotional behaviour strategically during election campaigns as a means of gaining voters’ support. Hence, this study investigates empirically how expressions of anger affect leadership evaluations. An experiment was conducted to establish the impact of politicians’ expressions of emotions on viewers. This study focuses on politicians as a social group, as well as three politicians in particular: Chancellor Angela Merkel; Gregor Gysi, the former parliamentary leader of the Left; and Sigmar Gabriel, the former party leader of the Social Democrats. These three case studies are well-suited to testing the effects of expressions of emotion by political leaders with varying positions in the political system. Lena Masch is a lecturer at the Institute of Social Sciences at the Heinrich-Heine-Universität in Düsseldorf.

scholarly journals New explainability method for BERT-based model in fake news detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mateusz Szczepański ◽  
Marek Pawlicki ◽  
Rafał Kozik ◽  
Michał Choraś
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Language Processing ◽  
High Performance ◽  
Real Life ◽  
Contemporary Society ◽  
Fake News ◽  
Interpretable Model ◽  
Deep Integration ◽  
The Impact

AbstractThe ubiquity of social media and their deep integration in the contemporary society has granted new ways to interact, exchange information, form groups, or earn money—all on a scale never seen before. Those possibilities paired with the widespread popularity contribute to the level of impact that social media display. Unfortunately, the benefits brought by them come at a cost. Social Media can be employed by various entities to spread disinformation—so called ‘Fake News’, either to make a profit or influence the behaviour of the society. To reduce the impact and spread of Fake News, a diverse array of countermeasures were devised. These include linguistic-based approaches, which often utilise Natural Language Processing (NLP) and Deep Learning (DL). However, as the latest advancements in the Artificial Intelligence (AI) domain show, the model’s high performance is no longer enough. The explainability of the system’s decision is equally crucial in real-life scenarios. Therefore, the objective of this paper is to present a novel explainability approach in BERT-based fake news detectors. This approach does not require extensive changes to the system and can be attached as an extension for operating detectors. For this purposes, two Explainable Artificial Intelligence (xAI) techniques, Local Interpretable Model-Agnostic Explanations (LIME) and Anchors, will be used and evaluated on fake news data, i.e., short pieces of text forming tweets or headlines. This focus of this paper is on the explainability approach for fake news detectors, as the detectors themselves were part of previous works of the authors.

scholarly journals Ethos, Pathos and Logos: Rhetorical Fixes for an Old Problem: Fake News

10.28945/4154 ◽  
2019 ◽  
Keyword(s):  
Social Media ◽  
The United States ◽  
Future Research ◽  
Fake News ◽  
Epideictic Rhetoric ◽  
Fox News ◽  
Main Components ◽  
News Recommendation ◽  
Effective Use ◽  
The Impact

Aim/Purpose: The proliferation of fake news through social media threatens to undercut the possibility of ascertaining facts and truth. This paper explores the use of ancient rhetorical tools to identify fake news generally and to see through the misinformation juggernaut of President Donald Trump. Background: The ancient rhetorical appeals described in Aristotle’s Rhetoric—ethos (character of the speaker), pathos (nature of the audience) and logos (message itself)—might be a simple, yet profound fix for the era of fake news. Also known as the rhetorical triangle and used as an aid for effective public speaking by the ancient Greeks, the three appeals can also be utilized for analyzing the main components of discourse. Methodology: Discourse analysis utilizes insights from rhetoric, linguistics, philosophy and anthropology in in order to interpret written and spoken texts. Contribution This paper analyzes Donald Trump’s effective use of Twitter and campaign rallies to create and sustain fake news. Findings: At the point of the writing of this paper, the Washington Post Trump Fact Checker has identified over 10,000 untruths uttered by the president in his first two years of office, for an average of eight untruths per day. In addition, analysis demonstrates that Trump leans heavily on ethos and pathos, almost to the exclusion of logos in his tweets and campaign rallies, making spectacular claims, which seem calculated to arouse emotions and move his base to action. Further, Trump relies heavily on epideictic rhetoric (praising and blaming), excluding forensic (legal) and deliberative rhetoric, which the ancients used for sustained arguments about the past or deliberations about the future of the state. In short, the analysis uncovers how and ostensibly why Trump creates and sustains fake news while claiming that other traditional news outlets, except for FOX news, are the actual purveyors of fake news. Recommendations for Practitioners: Information systems and communication practitioners need to be aware of the ways in which the systems they create and monitor are vulnerable to targeted attacks of the purveyors of fake news. Recommendation for Researchers: Further research on the identification and proliferation of fake news from a variety of disciplines is needed, in order to stem the flow of misinformation and untruths through social media. Impact on Society: The impact of fake news is largely unknown and needs to be better understood, especially during election cycles. Some researchers believe that social media constitute a fifth estate in the United States, challenging the authority of the three branches of government and the traditional press. Future Research: As noted above, further research on the identification and proliferation of fake news from a variety of disciplines is needed, in order to stem the flow of misinformation and untruths through social media.

scholarly journals Fakebook: why Facebook makes the fake news problem inevitable

2018 ◽  
Vol 69 (4) ◽  
pp. 513-530
Author(s):  
Paul Bernal
Keyword(s):  
Social Media ◽  
Business Model ◽  
Freedom Of Expression ◽  
The Internet ◽  
Fake News ◽  
Mass Data ◽  
The Difference ◽  
The Impact ◽  
Internet And Social Media

The current ‘fake news’ phenomenon is a modern manifestation of something that has existed throughout history. The difference between what happens now and what has happened before is driven by the nature of the internet and social media – and Facebook in particular. Three key strands of Facebook’s business model – invading privacy to profile individuals, analysing mass data to profile groups, then algorithmically curating content and targeting individuals and groups for advertising – create a perfect environment for fake news. Proposals to ‘deal’ with fake news either focus on symptoms or embed us further in the algorithms that create the problem. Whilst we embrace social media, particularly as a route to news, there is little that can be done to reduce the impact of fake news and misinformation. The question is whether the benefits to freedom of expression that social media brings mean that this is a price worth paying.

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