Cluster Structure of Online Users Generated from Interaction Between Fake News and Corrections

Article Multidisciplinary Sciences

Impact of correcting misinformation on social disruption

Ryusuke Iizuka et al.

Summary: People are increasingly getting information from social media and online sources, but the spread of misinformation can lead to social disruption. This study focuses on the impact of corrective information on society and clarifies the appropriate amount needed to minimize societal impact. During the COVID-19 pandemic, both misinformation and its corrections about a toilet-paper shortage in Japan caused significant social disruption, highlighting the importance of managing the spread of corrective information.

PLOS ONE (2022)

Add to Collection

Proceedings Paper Computer Science, Interdisciplinary Applications

Activator-Inhibitor Model for Describing Interactions Between Fake News and Their Corrections

Masaki Aida et al.

Summary: This paper models the interaction between fake news and corrections and finds that corrections can ironically increase attention to fake news. The research results indicate that even if the network structure has no spatial bias, the interaction between fake news and corrections can lead to the emergence of a group strongly interested in discussing fake news.

COMPLEX NETWORKS & THEIR APPLICATIONS X, VOL 2 (2022)

Add to Collection

Proceedings Paper Computer Science, Artificial Intelligence

Causal Understanding of Fake News Dissemination on Social Media

Lu Cheng et al.

Summary: This paper proposes a method to alleviate selection bias in fake news dissemination through causal inference theories, using learned unbiased fake news sharing behavior as a surrogate confounder to fully capture the causal links between user attributes and user susceptibility.

KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2021)

Add to Collection

Article Computer Science, Information Systems

Realistic Aspects of Simulation Models for Fake News Epidemics over Social Networks

Quintino Francesco Lotito et al.

Summary: The prevalence of online social networks has changed the way people access information, making the spread of fake news more convenient. By enriching models with network topologies and dynamics, this paper considers various factors affecting the spread of fake news and emphasizes the impact of influencers, bots, dynamical network access patterns, and trust levels in sources of information.

FUTURE INTERNET (2021)

Add to Collection

Article Physics, Multidisciplinary