Article
Multidisciplinary Sciences
Nadia M. Brashier, Gordon Pennycook, Adam J. Berinsky, David G. Rand
Summary: Research has shown that providing fact-checks after headlines (debunking) is more effective in improving subsequent truth discernment compared to providing the same information during (labeling) or before (prebunking) exposure.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Computer Science, Artificial Intelligence
Faramarz Farhangian, Rafael M. O. Cruz, George D. C. Cavalcanti
Summary: The proliferation of social networks has posed challenges in combating fake news, but automatic fake news detection using artificial intelligence has become more feasible. This paper revisits the definitions and perspectives of fake news and proposes an updated taxonomy, based on multiple criteria, for the field. The study finds that optimal feature extraction techniques vary depending on the dataset, and context-dependent models based on transformer models consistently exhibit superior performance.
INFORMATION FUSION
(2024)
Review
Hospitality, Leisure, Sport & Tourism
Pramukh Nanjundaswamy Vasist, Satish Krishnan
Summary: This article conducts a systematic literature review on fake news in the hospitality industry, providing a comprehensive synthesis of the existing knowledge and proposing directions for future research.
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT
(2022)
Article
Communication
Kelley Cotter, Julia R. DeCook, Shaheen Kanthawala
Summary: During the early stages of the COVID-19 pandemic, social media platforms (Facebook, Twitter, and YouTube) responded to the infodemic of false information with vague policies and practices, which may not necessarily contribute to ensuring a well-informed public.
SOCIAL MEDIA + SOCIETY
(2022)
Article
Communication
Ric Neo
Summary: Politicians are increasingly using the label of "fake news" to deflect criticism and delegitimize media outlets for political purposes. Research has focused on the implications of such attacks but little attention has been paid to countermeasures. This study explores strategies that media outlets can employ to protect themselves against unwarranted fake news accusations and finds that denial strategies are more effective in maintaining media legitimacy.
SOCIAL MEDIA + SOCIETY
(2022)
Article
Communication
Klaudia A. Rosinska
Summary: The study conducted a qualitative analysis of fake news on Polish-language internet media to classify them thematically, and identified categories such as political, economic, social, gossip, extreme, pseudo-scientific, worldview, historical, and commercial. The dominance of government, Catholic Church, and LGBT-related content in the Polish context, as well as the prevalence of health-based fake news including anti-vaccination content globally, were discussed as significant findings.
CYBERPSYCHOLOGY-JOURNAL OF PSYCHOSOCIAL RESEARCH ON CYBERSPACE
(2021)
Article
Operations Research & Management Science
Pythagoras N. Petratos, Alessio Faccia
Summary: Fake news, misinformation, and disinformation have increased significantly, affecting societies and supply chains. This paper explores the relationship between information risks and supply chain disruptions, proposing blockchain applications and strategies to mitigate and manage these risks. The study highlights the importance of information in all aspects of the supply chain and suggests integrating fake news, misinformation, and disinformation into the theoretical framework of supply chain risk management and resilience. The research finds that these misleading information types can amplify and cause larger disruptions, particularly when intentional and external factors are involved. The theoretical and practical applications of blockchain technology in supply chain risk management and resilience are presented, showcasing the effectiveness of cooperation and information sharing.
ANNALS OF OPERATIONS RESEARCH
(2023)
Review
Multidisciplinary Sciences
Kirill Bryanov, Victoria Vziatysheva
Summary: The proliferation of misinformation in digital news environments can have harmful effects on society, especially when individuals believe false news to be true. Experimental studies have identified factors such as message characteristics, individual susceptibility, and accuracy-promoting interventions that influence people's belief in fake news. It is recommended to expand the scope of empirical investigations and include a comparative angle in fake news research.
Article
Psychology, Multidisciplinary
Daniel Jeffrey Sude, Gil Sharon, Shira Dvir-Gvirsman
Summary: Two studies conducted in 2020 and 2022 examined how people assess the authenticity of politically consistent news. The results showed that the perceived accuracy of news content was influenced by the attribution of the news outlet and the individual's partisan identity.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Psychology, Multidisciplinary
Zach Bastick
Summary: The study found that even brief exposure to fake news could significantly modify individuals' unconscious behavior. Current approaches to mitigating fake news are insufficient to protect social media users from this threat, highlighting the need for urgent cross-sectoral efforts.
COMPUTERS IN HUMAN BEHAVIOR
(2021)
Article
Communication
Xingyu Liu, Li Qi, Laurent Wang, Miriam J. Metzger
Summary: This study investigates the effectiveness of different fact-check sources in reducing belief in misinformation, and finds that sources perceived as more credible are more effective. The perceived credibility of fact-check sources mediates the relationship between exposure to fact-checking messages and their effectiveness. Moreover, fact-checker credibility moderates the effect of alignment on effectiveness, while analytic thinking is unrelated to effectiveness.
COMMUNICATION RESEARCH
(2023)
Article
Psychology, Clinical
Katherine Haenschen, Mia X. Shu, Jacob A. Gilliland
Summary: This article investigates the factors that contribute to liking pages for fake news websites on Facebook. The study reveals that 18.4% of the surveyed American Facebook users liked at least one page for a fake news website. Additionally, 23.9% of the fake news page likes came from lifestyle sites that also published misinformation.
AMERICAN BEHAVIORAL SCIENTIST
(2023)
Article
Psychology, Multidisciplinary
Benjamin Kropf, Martin Wood, Kathryn Parsons
Summary: Misinformation and fake news pose significant risks to organizations. This research shows that using a narrative style for corrections is more effective in enhancing consumer perceptions than factual corrections.
COMPUTERS IN HUMAN BEHAVIOR
(2023)
Article
Communication
Mark Boukes, Michael Hameleers
Summary: This study examined the effectiveness of fact-check formats (regular vs. satirical) in refuting different types of false information. The findings revealed that both formats were equally effective in reducing agreement and perceived credibility towards false information. Contrary to expectations, the regular fact-check format was particularly effective among individuals who agreed with the fact-check, while the satirical format had a consistent effect across all participants. Neither format was effective in decreasing affective polarization and instead increased polarization under certain conditions (satire; agreement with the fact-check).
COMMUNICATION MONOGRAPHS
(2023)
Article
Computer Science, Information Systems
Aaron M. French, Veda C. Storey, Linda Wallace
Summary: Modern technologies, especially social networks, play a significant role in the rapid spread of fake news. The believability of fake news and subsequent actions can have negative consequences for individuals and society. Previous research has primarily focused on confirmation bias, but this study suggests that other cognitive biases also contribute. The study proposes a Cognitive Bias Mitigation Model to reduce the believability of fake news, grouping the mitigation methods according to three themes related to the five biases.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2023)
Article
Nuclear Science & Technology
Xinyi Zhou, Xinyang Deng, Yong Deng, Sankaran Mahadevan
NUCLEAR ENGINEERING AND DESIGN
(2017)
Article
Nuclear Science & Technology
Luyuan Chen, Xinyi Zhou, Fuyuan Xiao, Yong Deng, Sankaran Mahadevan
NUCLEAR ENGINEERING AND TECHNOLOGY
(2017)
Article
Engineering, Industrial
Xinyi Zhou, Yangqiuyan Shi, Xinyang Deng, Yong Deng
Article
Operations Research & Management Science
Xinyi Zhou, Yong Hu, Yong Deng, Felix T. S. Chan, Alessio Ishizaka
ANNALS OF OPERATIONS RESEARCH
(2018)
Article
Computer Science, Information Systems
Chen Yang, Xinyi Zhou, Reza Zafarani
Summary: The article introduces CHECKED, the first Chinese dataset on COVID-19 misinformation, which includes 2,104 verified microblogs related to COVID-19 before August 2020, along with a large amount of repost, comment, and like data. The dataset also contains multimedia and network information, which can be used for analyzing and predicting fake news.
SOCIAL NETWORK ANALYSIS AND MINING
(2021)
Proceedings Paper
Computer Science, Cybernetics
Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani
Summary: This study aims to assess the intent of fake news spreaders by investigating the psychological explanations of unintentional spreading and proposing an influence graph. The results show that the assessed intent can differentiate between intentional and unintentional spreaders, and improve fake news detection techniques.
PROCEEDINGS OF THE ACM WEB CONFERENCE 2022 (WWW'22)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Xinyi Zhou, Jindi Wu, Reza Zafarani
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2020, PT II
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu
PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019)
(2019)
Proceedings Paper
Computer Science, Information Systems
Reza Zafarani, Xinyi Zhou, Kai Shu, Huan Liu
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Xinyi Zhou, Reza Zafarani, Kai Shu, Huan Liu
PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Xinyi Zhou, Reza Zafarani
COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 )
(2019)
