Fake news, disinformation and misinformation in social media: a review

E Aïmeur, S Amri, G Brassard - Social Network Analysis and Mining, 2023 - Springer
Online social networks (OSNs) are rapidly growing and have become a huge source of all
kinds of global and local news for millions of users. However, OSNs are a double-edged …

A survey of fake news: Fundamental theories, detection methods, and opportunities

X Zhou, R Zafarani - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …

A survey on automated fact-checking

Z Guo, M Schlichtkrull, A Vlachos - Transactions of the Association for …, 2022 - direct.mit.edu
Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

Fighting an infodemic: Covid-19 fake news dataset

P Patwa, S Sharma, S Pykl, V Guptha, G Kumari… - … Online Hostile Posts in …, 2021 - Springer
Along with COVID-19 pandemic we are also fighting an 'infodemic'. Fake news and rumors
are rampant on social media. Believing in rumors can cause significant harm. This is further …

Fake news detection based on news content and social contexts: a transformer-based approach

S Raza, C Ding - International Journal of Data Science and Analytics, 2022 - Springer
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …

GCAN: Graph-aware co-attention networks for explainable fake news detection on social media

YJ Lu, CT Li - arXiv preprint arXiv:2004.11648, 2020 - arxiv.org
This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …

“Fake news” is not simply false information: A concept explication and taxonomy of online content

MD Molina, SS Sundar, T Le… - American behavioral …, 2021 - journals.sagepub.com
As the scourge of “fake news” continues to plague our information environment, attention
has turned toward devising automated solutions for detecting problematic online content …

defend: Explainable fake news detection

K Shu, L Cui, S Wang, D Lee, H Liu - Proceedings of the 25th ACM …, 2019 - dl.acm.org
In recent years, to mitigate the problem of fake news, computational detection of fake news
has been studied, producing some promising early results. While important, however, we …

Compare to the knowledge: Graph neural fake news detection with external knowledge

L Hu, T Yang, L Zhang, W Zhong, D Tang… - Proceedings of the …, 2021 - aclanthology.org
Nowadays, fake news detection, which aims to verify whether a news document is trusted or
fake, has become urgent and important. Most existing methods rely heavily on linguistic and …

Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media

K Shu, D Mahudeswaran, S Wang, D Lee, H Liu - Big data, 2020 - liebertpub.com
Social media has become a popular means for people to consume and share the news. At
the same time, however, it has also enabled the wide dissemination of fake news, that is …