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Utilization Strategy of User Engagements in Korean Fake News Detection
IEEE Access, 2022 Fake News (disinformation with malicious intent) has emerged as a major social problem. To address this issue, previous studies mainly utilized single information, the news content, to detect fake news.
Myunghoon Kang +3 more
doaj +1 more source
Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks [PDF]
Knowledge Discovery and Data Mining, 2023 It is commonly perceived that fake news and real news exhibit distinct writing styles, such as the use of sensationalist versus objective language. However, we emphasize that style-related features can also be exploited for style-based attacks.
Jiaying Wu, Jiafeng Guo, Bryan Hooi
semanticscholar +1 more source
Heliyon, 2021 Individual differences in cognitive abilities and personality help to understand individual differences in various human behaviors. Previous work investigated individual characteristics in light of believing (i.e., misclassifying) fake news.
Cornelia Sindermann +4 more
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Attacking Fake News Detectors via Manipulating News Social Engagement [PDF]
The Web Conference, 2023 Social media is one of the main sources for news consumption, especially among the younger generation. With the increasing popularity of news consumption on various social media platforms, there has been a surge of misinformation which includes false ...
Haoran Wang +5 more
semanticscholar +1 more source
Analyzing Online Fake News Using Latent Semantic Analysis: Case of USA Election Campaign
Big Data and Cognitive Computing, 2023 Recent studies have indicated that fake news is always produced to manipulate readers and that it spreads very fast and brings great damage to human society through social media.
Richard G. Mayopu +2 more
doaj +1 more source
Cross-modal Contrastive Learning for Multimodal Fake News Detection [PDF]
ACM Multimedia, 2023 Automatic detection of multimodal fake news has gained a widespread attention recently. Many existing approaches seek to fuse unimodal features to produce multimodal news representations.
Longzheng Wang +5 more
semanticscholar +1 more source
It's All in the Embedding! Fake News Detection Using Document Embeddings [PDF]
Mathematics, 2023 With the current shift in the mass media landscape from journalistic rigor to social media, personalized social media is becoming the new norm. Although the digitalization progress of the media brings many advantages, it also increases the risk of ...
Ciprian-Octavian Truică +1 more
semanticscholar +1 more source
Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion [PDF]
International Conference on Multimedia Retrieval, 2023 The easy sharing of multimedia content on social media has caused a rapid dissemination of fake news, which threatens society’s stability and security.
Yangming Zhou +4 more
semanticscholar +1 more source
Construction of multi-modal social media dataset for fake news detection
网络与信息安全学报, 2023 The advent of social media has brought about significant changes in people’s lives.While social media allows for easy access and sharing of news, it has also become a breeding ground for the dissemination of fake news, posing a serious threat to social ...
Guopeng GAO +4 more
doaj +3 more sources
Social Media Fake News in India
Asian Journal for Public Opinion Research, 2021 This study analyzes 419 fake news items published in India, a fake-news-prone country, to identify the major themes, content types, and sources of social media fake news. The results show that fake news shared on social media has six major themes: health,
Md. Sayeed Al-Zaman
doaj +1 more source