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 …

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 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 …

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 …

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 …

A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks

C Song, N Ning, Y Zhang, B Wu - Information Processing & Management, 2021 - Elsevier
In recent years, social media has increasingly become one of the popular ways for people to
consume news. As proliferation of fake news on social media has the negative impacts on …

Predicting factuality of reporting and bias of news media sources

R Baly, G Karadzhov, D Alexandrov, J Glass… - arXiv preprint arXiv …, 2018 - arxiv.org
We present a study on predicting the factuality of reporting and bias of news media. While
previous work has focused on studying the veracity of claims or documents, here we are …

[PDF][PDF] Semeval-2019 task 7: Rumoureval 2019: Determining rumour veracity and support for rumours

G Gorrell, E Kochkina, M Liakata, A Aker… - Proceedings of the 13th …, 2019 - pure.itu.dk
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Page 1
RumourEval 2019: Determining Rumour Veracity and Support for Rumours Genevieve …

An emotional analysis of false information in social media and news articles

B Ghanem, P Rosso, F Rangel - ACM Transactions on Internet …, 2020 - dl.acm.org
Fake news is risky, since it has been created to manipulate readers' opinions and beliefs. In
this work, we compared the language of false news to the real one of real news from an …

A survey on stance detection for mis-and disinformation identification

M Hardalov, A Arora, P Nakov, I Augenstein - arXiv preprint arXiv …, 2021 - arxiv.org
Understanding attitudes expressed in texts, also known as stance detection, plays an
important role in systems for detecting false information online, be it misinformation …