An overview of online fake news: Characterization, detection, and discussion

X Zhang, AA Ghorbani - Information Processing & Management, 2020 - Elsevier
Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …

Deep learning for misinformation detection on online social networks: a survey and new perspectives

MR Islam, S Liu, X Wang, G Xu - Social Network Analysis and Mining, 2020 - Springer
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …

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 …

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 …

A survey on fake news and rumour detection techniques

A Bondielli, F Marcelloni - Information sciences, 2019 - Elsevier
False or unverified information spreads just like accurate information on the web, thus
possibly going viral and influencing the public opinion and its decisions. Fake news and …

Eann: Event adversarial neural networks for multi-modal fake news detection

Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha… - Proceedings of the 24th …, 2018 - dl.acm.org
As news reading on social media becomes more and more popular, fake news becomes a
major issue concerning the public and government. The fake news can take advantage of …

Combating fake news: A survey on identification and mitigation techniques

K Sharma, F Qian, H Jiang, N Ruchansky… - ACM Transactions on …, 2019 - dl.acm.org
The proliferation of fake news on social media has opened up new directions of research for
timely identification and containment of fake news and mitigation of its widespread impact on …

Dyrep: Learning representations over dynamic graphs

R Trivedi, M Farajtabar, P Biswal, H Zha - International conference on …, 2019 - par.nsf.gov
Representation Learning over graph structured data has received significant attention
recently due to its ubiquitous applicability. However, most advancements have been made …

Fake news detection on social media: A data mining perspective

K Shu, A Sliva, S Wang, J Tang, H Liu - ACM SIGKDD explorations …, 2017 - dl.acm.org
Social media for news consumption is a double-edged sword. On the one hand, its low cost,
easy access, and rapid dissemination of information lead people to seek out and consume …

The web of false information: Rumors, fake news, hoaxes, clickbait, and various other shenanigans

S Zannettou, M Sirivianos, J Blackburn… - Journal of Data and …, 2019 - dl.acm.org
A new era of Information Warfare has arrived. Various actors, including state-sponsored
ones, are weaponizing information on Online Social Networks to run false-information …