scholarly journals INFORMATION PROCESSING – HEURISTIC VS SYSTEMATIC AND SUSCEPTIBILITY OF SHARING COVID 19-RELATED FAKE NEWS ON SOCIAL MEDIA

2020 ◽  
Vol 12 ◽  
pp. 42-56
Author(s):  
Irum Alvi ◽  
Niraja Saraswat
Keyword(s):  
Social Media ◽  
Information Processing ◽  
Media Studies ◽  
Research Model ◽  
Fake News ◽  
Heuristic Information ◽  
The Media ◽  
Heuristic Information Processing ◽  
Systematic Information Processing ◽  
Processing Heuristic

Social media has turned into a fertile ground for COVID-19 fake news. The present study aims to provide a hypothetical and empirical background to elucidate the psychological and behavioral aspects of information processing and susceptibility of sharing the fake news, with especial reference to COVID-19 news on social media. The study explores the relation between the select variables and heuristic and systematic information processing. Grounded on prior studies, this paper presents a research model to address susceptibility of sharing the fake news on social media, and identifies characteristics that may be more susceptible than others for sharing fake news on social media including Sharing Motivation (SM), Social Media Fatigue (SMF), Feel Good Factor (FGF), Fear of Missing out (FoMO), News Characteristics (NC) and five Big Personality Traits. The data collected from 244 respondents was analyzed with the help of IBM SPSS 23, using descriptive and statistical test, including means, standard deviations, and correlation analysis conducted. Correlation exploration was utilized to study the association between the select variables and systematic and heuristic information processing and susceptibility of sharing the fake news on social media. The findings show several factors contribute to information processing in both modes. The study confirms that heuristic processing is significantly associated with susceptibility of sharing fake news. The research adds to the media studies, behavioral and psychological disciplines, as it examines the relationships between the select variables and the systematic and heuristic information processing and COVID-19 fake news on social media. The present investigation makes an innovative and original contribution to media studies by exploring the relationship between select variables and susceptibility for sharing fake news on social media. The study presents a research model to identify the influence of select variables on information processing and the susceptibility to falling prey to fake news on social media and contributes to the domain to media studies.

Fake It “Till You Make It”: Debunking Fake News in a Post-Truth America

2019 ◽  
Vol 8 (1) ◽  
pp. 114-133
Keyword(s):  
Social Media ◽  
First Amendment ◽  
Presidential Election ◽  
Political Discourse ◽  
Cutting Edge ◽  
American People ◽  
Fake News ◽  
News Sources ◽  
The Media ◽  
The U.S

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.

Heuristic Thinking and Limited Attention in the Car Market

2012 ◽  
Vol 102 (5) ◽  
pp. 2206-2236 ◽  
Author(s):  
Nicola Lacetera ◽  
Devin G Pope ◽  
Justin R Sydnor
Keyword(s):  
Information Processing ◽  
Limited Attention ◽  
Product Markets ◽  
Car Market ◽  
Heuristic Information ◽  
Observed Information ◽  
Used Car ◽  
Heuristic Information Processing

Can heuristic information processing affect important product markets? Analyzing over 22 million wholesale used-car transactions, we find evidence of left-digit bias in the processing of odometer values, whereby individuals focus on the number's leftmost digits. The bias leads to discontinuous drops in sale prices at 10,000-mile odometer thresholds, along with smaller drops at 1,000-mile thresholds. These findings reveal that information-processing heuristics matter even in markets with large stakes and easily observed information. We model left-digit bias in an inattention framework and structurally estimate the inattention parameter. Empirical patterns suggest the results are driven by final customers rather than professional agents. (JEL D12, D44, D83, L81)

scholarly journals Violence and Trolling on Social Media

2020 ◽  
Keyword(s):  
Social Media ◽  
Media Studies ◽  
Digital Communication ◽  
Media History ◽  
Media Discourse ◽  
Fake News ◽  
Life And Death ◽  
Theoretical Approaches ◽  
Social Media Platforms ◽  
Insight Into

‘Trolls for Trump’, virtual rape, fake news — social media discourse, including forms of virtual and real violence, has become a formidable, yet elusive, political force. What characterizes online vitriol? How do we understand the narratives generated, and also address their real-world — even life-and-death— impact? How can hatred, bullying, and dehumanization on social media platforms be addressed and countered in a post-truth world? Violence and Trolling on Social Media: History, Affect, and Effects of Online Vitriol unpacks discourses, metaphors, dynamics, and framing on social media, in order to begin to answer these questions. Written for and by cultural and media studies scholars, journalists, political philosophers, digital communication professionals, activists and advocates, this book connects theoretical approaches from cultural and media studies with practical challenges and experiences ‘from the field’, providing insight into a rough media landscape.

scholarly journals Information Re-Sharing on Social Network Sites in the Age of Fake News

10.28945/3871 ◽  
2017 ◽  
Vol 20 ◽  
pp. 215-235 ◽  
Author(s):  
Mehrdad Koohikamali ◽  
Anna Sidorova
Keyword(s):  
Social Media ◽  
Social Network ◽  
Information Quality ◽  
Social Network Sites ◽  
Research Model ◽  
Fake News ◽  
Quality Of Information ◽  
Sharing Behavior

Aim/Purpose: In the light of the recent attention to the role of social media in the dissemination of fake news, it is important to understand the relationship between the characteristics of the social media content and re-sharing behavior. This study seeks to examine individual level antecedents of information re-sharing behavior including individual beliefs about the quality of information available on social network sites (SNSs), attitude towards SNS use and risk perceptions and attitudes. Methodology: Testing the research model by data collected through surveys that were adminis-tered to test the research model. Data was collected from undergraduate students in a public university in the US. Contribution: This study contributes to theory in Information Systems by addressing the issue of information quality in the context of information re-sharing on social media. This study has important practical implications for SNS users and providers alike. Ensuring that information available on SNS is of high quality is critical to maintaining a healthy user base. Findings: Results indicate that attitude toward using SNSs and intention to re-share infor-mation on SNSs is influenced by perceived information quality (enjoyment, rele-vance, and reliability). Also, risk-taking propensity and enjoyment influence the intention to re-share information on SNSs in a positive direction. Future Research: In the dynamic context of SNSs, the role played by quality of information is changing. Understanding changes in quality of information by conducting longitudinal studies and experiments and including the role of habits is necessary.

scholarly journals Typology of Business-Related Fake News Online: A Literature Review

2020 ◽  
Vol 11 (1) ◽  
pp. 76-76
Author(s):  
Marko Selaković ◽  
Anna Tarabasz ◽  
Monica Gallant
Keyword(s):  
Social Media ◽  
Marketing Research ◽  
Fake News ◽  
Crisis Communications ◽  
Web 3.0 ◽  
The Past ◽  
Internet Users ◽  
The Social ◽  
The Media ◽  
Smart Technologies

Internet and social media, as highly interactive platforms, enable two way-communication and content generation which was unprecedented in history. In the past, the media were decisive about content that should be presented, and what public impact it might have (Giessen, 2015). User-generated content provided an opportunity for single Internet users to reach large audiences in the same way as content originating from the traditional mass-media. Web 3.0 and Meta Web introduced a new myriad of available solutions and opportunities (Tarabasz, 2013). Smart technologies and integration networks of Web 4.0, with an ability to detect intentions and goals of the users and offer solutions based on users` preferences and habits (Benhaddi, 2017) are opening an entirely new dimension of the social media: digital identity becomes part of the identity of the Internet users. Keywords: Fake News; Crisis Communications; Online Communications; Management Research; Marketing Research

scholarly journals Countering Fake News in Media: A Study on Journalists Based in Mardan and Nowshera

2020 ◽  
Vol V (II) ◽  
pp. 50-58
Author(s):  
Muhammad Shahid ◽  
Muhammad Ibrahim ◽  
Ibrar Ullah
Keyword(s):  
Social Media ◽  
Fake News ◽  
Purposive Sampling ◽  
The Media ◽  
Media Organizations ◽  
The Government ◽  
Depth Interviews

This research focuses on fake news and how journalists understand and counter fake news. The researchers used purposive sampling and collected data through in-depth interviews. Members of Mardan and Nowshera press clubs were interviewed regarding how they counter fake news. All the respondents agreed that fake news must be discouraged and that not only the media persons but the government should also take action against media organizations that publish or onair fake news. Most of them said that social media is the main source of fake news and that there should be some kind of regulations on social media to discourage fake news. Some called for training for journalists on how to counter fake news.

scholarly journals Social media usage by President Donald Trump before and after the 2016 elections

2020 ◽  
Author(s):  
Roy Glueckstern ◽  
Alexi Benyacar ◽  
Sacha Grigri
Keyword(s):  
Social Media ◽  
Presidential Elections ◽  
Media Use ◽  
User Engagement ◽  
Fake News ◽  
Donald Trump ◽  
Media Usage ◽  
Mainstream Media ◽  
Before And After ◽  
The Media

According to Gill (2017), the present era of electronic revolution is one in which social media has become a means to an end in political sphere communication. Today, political marketing and advertising for persons seeking elective posts analyze, develop, execute and manage campaigns as a way of driving public opinion (Laing & Khattab, 2016). Social media provides a platform on which one can engage with the so-called connected generation. If the November 2016 elections are anything to go by, Twitter proved to be the medium of choice for citizens to engage and consume political content (Le et al., 2017). Ideally, tweets formed the basis of facilitating user engagement through the provision of content and newsbreaks. By extension, the mentioned discussions would influence the political discourse while establishing the capacity to determine the events of mainstream media. This study seeks to establish social media usage by President Donald Trump before and after his election. An understanding of such trend is essential in inferring as to whether Social media, in this case Twitter, plays a role in the current political spheres by promoting influence of a given aspirant. This stems from various studies that have stated that there is an association between social media use and an aspirant’s influence of the connected generation who are especially the youths. For instance, a thesis by Hwang (2016) observed that President Trump’s Twitter usage contributes to his political poll success which he associates with a reflection of his personality in the media use. This was also observed by Lilleker, Jackson, Thorsen and Veneti (2016) who stated that President Trump’s media use contributed to his election. It would hence be essential to understand President Trump’s nature of usage of Twitter. Allcott and Gentzkow (2017) conducted a study in which they observed use of fake news to influence people into certain political alignments. Twitter was also observed as one of the channels through which fake news was distributed. This study might help to create a foundation under which more studies can be done to determine the association of social media with other issues facing the society such as fake news and environment issues and their role on presidential elections. It would also be worth noting that there has been high politicization of President Trump’s use of Twitter especially during his Campaigns. This study would hence help to infer whether there is a change in this factor after his election.

Employing artificial intelligence techniques as a mechanism for investigation, scrutiny, and detection of fake news and rumors

2021 ◽  
Vol 12 (1) ◽  
pp. 117-117
Author(s):  
Yosra Sobeih ◽  
El Taieb EL Sadek
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Machine Intelligence ◽  
The Internet ◽  
Human Intelligence ◽  
Fake News ◽  
The Media ◽  
Media Work ◽  
False News ◽  
Editorial Processing

Modern communication means have imposed many changes on the media work in the different stages of content production, starting from gathering news, visual and editorial processing, verification and verification of the truthfulness of what was stated in it until its publication, so the changes that were stimulated by modern means and technologies and artificial intelligence tools have affected all stages of news and media production, since the beginning of the emergence of rooms. Smart news that depends on human intelligence and then machine intelligence, which has become forced to keep pace with the development in communication means, which has withdrawn in the various stages of production, and perhaps the most important of which is the process of investigation and scrutiny and the detection of false news and rumors in our current era, which has become the spread of information very quickly through the Internet and websites Social media and various media platforms

Sign in / Sign up

Export Citation Format

Share Document