601 citations · 2k across the 51 of their papers we have counts for
25 papers · 1 filter
MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection
Hao Liao, Jiaohao Peng, Zhanyi Huang +4
The ease of spreading false information online enables individuals with malicious intent to manipulate public opinion and destabilize social stability. Recently, fake news detectio…
Attacking Fake News Detectors via Manipulating News Social Engagement
Haoran Wang, Yingtong Dou, Canyu Chen +3
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 pl…
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks
Ujun Jeong, Kaize Ding, Lu Cheng +3
Nowadays, fake news easily propagates through online social networks and becomes a grand threat to individuals and society. Assessing the authenticity of news is challenging due to…
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues
Canyu Chen, Haoran Wang, Matthew Shapiro +3
Social media has been one of the main information consumption sources for the public, allowing people to seek and spread information more quickly and easily. However, the rise of v…
Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo
Qiang Sheng, Juan Cao, H. Russell Bernard +3
False news that spreads on social media has proliferated over the past years and has led to multi-aspect threats in the real world. While there are studies of false news on specifi…
Domain Adaptive Fake News Detection via Reinforcement Learning
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu +2
With social media being a major force in information consumption, accelerated propagation of fake news has presented new challenges for platforms to distinguish between legitimate…
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders
Xinyi Zhou, Kai Shu, Vir V. Phoha +2
Individuals can be misled by fake news and spread it unintentionally without knowing it is false. This phenomenon has been frequently observed but has not been investigated. Our ai…
A Survey of COVID-19 Misinformation: Datasets, Detection Techniques and Open Issues
A. R. Sana Ullah, Anupam Das, Anik Das +2
Misinformation during pandemic situations like COVID-19 is growing rapidly on social media and other platforms. This expeditious growth of misinformation creates adverse effects on…
User Preference-aware Fake News Detection
Yingtong Dou, Kai Shu, Congying Xia +2
Disinformation and fake news have posed detrimental effects on individuals and society in recent years, attracting broad attention to fake news detection. The majority of existing…
MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation
Yichuan Li, Bohan Jiang, Kai Shu +1
The COVID-19 epidemic is considered as the global health crisis of the whole society and the greatest challenge mankind faced since World War Two. Unfortunately, the fake news abou…
Fake News Detection through Graph Comment Advanced Learning
Hao Liao, Qixin Liu, Kai Shu +1
Disinformation has long been regarded as a severe social problem, where fake news is one of the most representative issues. What is worse, today's highly developed social media mak…
Disinformation in the Online Information Ecosystem: Detection, Mitigation and Challenges
Amrita Bhattacharjee, Kai Shu, Min Gao +1
With the rapid increase in access to internet and the subsequent growth in the population of online social media users, the quality of information posted, disseminated and consumed…
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
Lu Cheng, Kai Shu, Siqi Wu +3
Social media is a vital means for information-sharing due to its easy access, low cost, and fast dissemination characteristics. However, increases in social media usage have corres…
Combating Disinformation in a Social Media Age
Kai Shu, Amrita Bhattacharjee, Faisal Alatawi +4
The creation, dissemination, and consumption of disinformation and fabricated content on social media is a growing concern, especially with the ease of access to such sources, and…
Challenges in Combating COVID-19 Infodemic -- Data, Tools, and Ethics
Kaize Ding, Kai Shu, Yichuan Li +2
While the COVID-19 pandemic continues its global devastation, numerous accompanying challenges emerge. One important challenge we face is to efficiently and effectively use recentl…
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
Kai Shu, Suhang Wang, Dongwon Lee +1
In recent years, disinformation including fake news, has became a global phenomenon due to its explosive growth, particularly on social media. The wide spread of disinformation and…
Detecting Fake News with Weak Social Supervision
Kai Shu, Ahmed Hassan Awadallah, Susan Dumais +1
Limited labeled data is becoming the largest bottleneck for supervised learning systems. This is especially the case for many real-world tasks where large scale annotated examples…
Applications of Social Media in Hydroinformatics: A Survey
Yufeng Yu, Yuelong Zhu, Dingsheng Wan +3
Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaste…
The Role of User Profile for Fake News Detection
Kai Shu, Xinyi Zhou, Suhang Wang +2
Consuming news from social media is becoming increasingly popular. Social media appeals to users due to its fast dissemination of information, low cost, and easy access. However, s…
Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation
Kai Shu, Deepak Mahudeswaran, Suhang Wang +1
Consuming news from social media is becoming increasingly popular. However, social media also enables the widespread of fake news. Because of its detrimental effects brought by soc…
Graph Neural Networks for User Identity Linkage
Wen Zhang, Kai Shu, Huan Liu +1
The increasing popularity and diversity of social media sites has encouraged more and more people to participate in multiple online social networks to enjoy their services. Each us…
FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media
Kai Shu, Deepak Mahudeswaran, Suhang Wang +2
Social media has become a popular means for people to consume news. Meanwhile, it also enables the wide dissemination of fake news, i.e., news with intentionally false information,…
Studying Fake News via Network Analysis: Detection and Mitigation
Kai Shu, H. Russell Bernard, Huan Liu
Social media for news consumption is becoming increasingly popular due to its easy access, fast dissemination, and low cost. However, social media also enable the wide propagation…
Beyond News Contents: The Role of Social Context for Fake News Detection
Kai Shu, Suhang Wang, Huan Liu
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, i.e., ne…