[HTML][HTML] The psychology of fake news

G Pennycook, DG Rand - Trends in cognitive sciences, 2021 - cell.com
We synthesize a burgeoning literature investigating why people believe and share false or
highly misleading news online. Contrary to a common narrative whereby politics drives …

Fake news, rumor, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities

P Meel, DK Vishwakarma - Expert Systems with Applications, 2020 - Elsevier
Internet and social media have become a widespread, large scale and easy to use platform
for real-time information dissemination. It has become an open stage for discussion …

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 …

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 …

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 …

[HTML][HTML] Setting the future of digital and social media marketing research: Perspectives and research propositions

YK Dwivedi, E Ismagilova, DL Hughes… - International journal of …, 2021 - Elsevier
The use of the internet and social media have changed consumer behavior and the ways in
which companies conduct their business. Social and digital marketing offers significant …

[HTML][HTML] Multimodal fake news detection via progressive fusion networks

J Jing, H Wu, J Sun, X Fang, H Zhang - Information processing & …, 2023 - Elsevier
Multimodal fake news detection methods based on semantic information have achieved
great success. However, these methods only exploit the deep features of multimodal …

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 …

[PDF][PDF] Fake news: A survey of research, detection methods, and opportunities

X Zhou, R Zafarani - arXiv preprint arXiv:1812.00315, 2018 - academia.edu
arXiv:1812.00315v1 [cs.CL] 2 Dec 2018 Page 1 Fake News: A Survey of Research,
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …

Beyond news contents: The role of social context for fake news detection

K Shu, S Wang, H Liu - Proceedings of the twelfth ACM international …, 2019 - dl.acm.org
Social media is becoming popular for news consumption due to its fast dissemination, easy
access, and low cost. However, it also enables the wide propagation of fake news, ie, news …