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 …

[HTML][HTML] Deep learning for fake news detection: A comprehensive survey

L Hu, S Wei, Z Zhao, B Wu - AI Open, 2022 - Elsevier
The information age enables people to obtain news online through various channels, yet in
the meanwhile making false news spread at unprecedented speed. Fake news exerts …

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 …

User preference-aware fake news detection

Y Dou, K Shu, C Xia, PS Yu, L Sun - … of the 44th international ACM SIGIR …, 2021 - dl.acm.org
Disinformation and fake news have posed detrimental effects on individuals and society in
recent years, attracting broad attention to fake news detection. The majority of existing fake …

Temporally evolving graph neural network for fake news detection

C Song, K Shu, B Wu - Information Processing & Management, 2021 - Elsevier
The proliferation of fake news on social media has the probability to bring an unfavorable
impact on public opinion and social development. Many efforts have been paid to develop …

Cross-modal ambiguity learning for multimodal fake news detection

Y Chen, D Li, P Zhang, J Sui, Q Lv, L Tun… - Proceedings of the ACM …, 2022 - dl.acm.org
Cross-modal learning is essential to enable accurate fake news detection due to the fast-
growing multimodal contents in online social communities. A fundamental challenge of …

Recovery: A multimodal repository for covid-19 news credibility research

X Zhou, A Mulay, E Ferrara, R Zafarani - Proceedings of the 29th ACM …, 2020 - dl.acm.org
First identified in Wuhan, China, in December 2019, the outbreak of COVID-19 has been
declared as a global emergency in January, and a pandemic in March 2020 by the World …

Fake news early detection: A theory-driven model

X Zhou, A Jain, VV Phoha, R Zafarani - Digital Threats: Research and …, 2020 - dl.acm.org
Massive dissemination of fake news and its potential to erode democracy has increased the
demand for accurate fake news detection. Recent advancements in this area have proposed …

[HTML][HTML] Fake News Classification using transformer based enhanced LSTM and BERT

N Rai, D Kumar, N Kaushik, C Raj, A Ali - International Journal of Cognitive …, 2022 - Elsevier
Fake News has been a concern all over the world and social media has only amplified this
phenomenon. Fake News has been affecting the world on a large scale as these are …

Hierarchical multi-modal contextual attention network for fake news detection

S Qian, J Wang, J Hu, Q Fang, C Xu - Proceedings of the 44th …, 2021 - dl.acm.org
Nowadays, detecting fake news on social media platforms has become a top priority since
the widespread dissemination of fake news may mislead readers and have negative effects …