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 …

Approaches to identify fake news: a systematic literature review

D De Beer, M Matthee - Integrated science in digital age 2020, 2021 - Springer
With the widespread dissemination of information via digital media platforms, it is of utmost
importance for individuals and societies to be able to judge the credibility of it. Fake news is …

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 …

Embracing domain differences in fake news: Cross-domain fake news detection using multi-modal data

A Silva, L Luo, S Karunasekera, C Leckie - Proceedings of the AAAI …, 2021 - ojs.aaai.org
With the rapid evolution of social media, fake news has become a significant social problem,
which cannot be addressed in a timely manner using manual investigation. This has …

A comprehensive Benchmark for fake news detection

A Galli, E Masciari, V Moscato, G Sperlí - Journal of Intelligent Information …, 2022 - Springer
Nowadays, really huge volumes of fake news are continuously posted by malicious users
with fraudulent goals thus leading to very negative social effects on individuals and society …

Hc-covid: A hierarchical crowdsource knowledge graph approach to explainable covid-19 misinformation detection

Z Kou, L Shang, Y Zhang, D Wang - Proceedings of the ACM on Human …, 2022 - dl.acm.org
The proliferation of social media has promoted the spread of misinformation that raises
many concerns in our society. This paper focuses on a critical problem of explainable …

[HTML][HTML] Emotion detection for misinformation: A review

Z Liu, T Zhang, K Yang, P Thompson, Z Yu… - Information …, 2024 - Elsevier
With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …

Causal understanding of fake news dissemination on social media

L Cheng, R Guo, K Shu, H Liu - Proceedings of the 27th ACM SIGKDD …, 2021 - dl.acm.org
Recent years have witnessed remarkable progress towards computational fake news
detection. To mitigate its negative impact, we argue that it is critical to understand what user …

Combating fake news: Stakeholder interventions and potential solutions

A Gupta, N Kumar, P Prabhat, R Gupta, S Tanwar… - Ieee …, 2022 - ieeexplore.ieee.org
The fake news “infodemic”, facilitated by social media and mobile message sharing
platforms, has progressed from causing a nuisance to seriously impacting law and order …

Fake news detection based on explicit and implicit signals of a hybrid crowd: An approach inspired in meta-learning

PMS Freire, FRM da Silva, RR Goldschmidt - Expert Systems with …, 2021 - Elsevier
The problem of automatic Fake News detection in digital media of news distribution (DMND-
eg, social networks, online newspaper, etc) has become even more relevant. Among the …