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 …
increased the demand for fake news detection and intervention. This survey reviews and …
Fake news detection on social media: A data mining perspective
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 …
easy access, and rapid dissemination of information lead people to seek out and consume …
[HTML][HTML] FakeBERT: Fake news detection in social media with a BERT-based deep learning approach
RK Kaliyar, A Goswami, P Narang - Multimedia tools and applications, 2021 - Springer
In the modern era of computing, the news ecosystem has transformed from old traditional
print media to social media outlets. Social media platforms allow us to consume news much …
print media to social media outlets. Social media platforms allow us to consume news much …
Compare to the knowledge: Graph neural fake news detection with external knowledge
Nowadays, fake news detection, which aims to verify whether a news document is trusted or
fake, has become urgent and important. Most existing methods rely heavily on linguistic and …
fake, has become urgent and important. Most existing methods rely heavily on linguistic and …
The spread of true and false news online
We investigated the differential diffusion of all of the verified true and false news stories
distributed on Twitter from 2006 to 2017. The data comprise~ 126,000 stories tweeted by~ 3 …
distributed on Twitter from 2006 to 2017. The data comprise~ 126,000 stories tweeted by~ 3 …
Eann: Event adversarial neural networks for multi-modal fake news detection
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 …
major issue concerning the public and government. The fake news can take advantage of …
[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 …
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …
A multimodal fake news detection model based on crossmodal attention residual and multichannel convolutional neural networks
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 …
consume news. As proliferation of fake news on social media has the negative impacts on …
Multimodal fusion with recurrent neural networks for rumor detection on microblogs
Microblogs have become popular media for news propagation in recent years. Meanwhile,
numerous rumors and fake news also bloom and spread wildly on the open social media …
numerous rumors and fake news also bloom and spread wildly on the open social media …
Fake news early detection: A theory-driven model
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 …
demand for accurate fake news detection. Recent advancements in this area have proposed …