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Understanding the prevalence of misinformation in health topics online can inform public health policies and interventions. However, measuring such misinformation at scale remains a challenge, particularly for high-stakes but understudied…

Computers and Society · Computer Science 2025-09-18 Hayoung Jung , Shravika Mittal , Ananya Aatreya , Navreet Kaur , Munmun De Choudhury , Tanushree Mitra

The quality of digital information on the web has been disquieting due to the lack of careful manual review. Consequently, a large volume of false textual information has been disseminating for a long time since the prevalence of social…

Social and Information Networks · Computer Science 2021-08-10 Qiang Zhang , Hongbin Huang , Shangsong Liang , Zaiqiao Meng , Emine Yilmaz

Since 2016, the amount of academic research with the keyword "misinformation" has more than doubled [2]. This research often focuses on article headlines shown in artificial testing environments, yet misinformation largely spreads through…

Human-Computer Interaction · Computer Science 2020-12-16 Emily Saltz , Claire Leibowicz , Claire Wardle

Given Farsi's speaker base of over 127 million people and the growing availability of digital text, including more than 1.3 million articles on Wikipedia, it is considered a middle-resource language. However, this label quickly crumbles…

Computation and Language · Computer Science 2025-09-09 Donya Rooein , Flor Miriam Plaza-del-Arco , Debora Nozza , Dirk Hovy

In recent years, Islamophobia has gained significant traction across Western societies, fueled by the rise of digital communication networks. This paper performs a large-scale analysis of specialized, semi-coded Islamophobic terms such as…

Machine Learning · Computer Science 2026-05-12 Raza Ul Mustafa , Roi Dupart , Gabrielle Smith , Noman Ashraf , Nathalie Japkowicz

Pathogenic Social Media (PSM) accounts such as terrorist supporter accounts and fake news writers have the capability of spreading disinformation to viral proportions. Early detection of PSM accounts is crucial as they are likely to be key…

Social and Information Networks · Computer Science 2019-05-07 Elham Shaabani , Ashkan Sadeghi-Mobarakeh , Hamidreza Alvari , Paulo Shakarian

Misinformation detection models often rely on superficial cues (i.e., \emph{shortcuts}) that correlate with misinformation in training data but fail to generalize to the diverse and evolving nature of real-world misinformation. This issue…

Computation and Language · Computer Science 2025-06-04 Herun Wan , Jiaying Wu , Minnan Luo , Zhi Zeng , Zhixiong Su

In light of the growing impact of disinformation on social, economic, and political landscapes, accurate and efficient identification methods are increasingly critical. This paper introduces HyperGraphDis, a novel approach for detecting…

Social and Information Networks · Computer Science 2024-04-04 Nikos Salamanos , Pantelitsa Leonidou , Nikolaos Laoutaris , Michael Sirivianos , Maria Aspri , Marius Paraschiv

Terror attacks have been linked in part to online extremist content. Although tens of thousands of Islamist extremism supporters consume such content, they are a small fraction relative to peaceful Muslims. The efforts to contain the…

Social and Information Networks · Computer Science 2023-09-04 Ugur Kursuncu , Manas Gaur , Carlos Castillo , Amanuel Alambo , K. Thirunarayan , Valerie Shalin , Dilshod Achilov , I. Budak Arpinar , Amit Sheth

This paper discusses the impact of the Internet on modern trading and the importance of data generated from these transactions for organizations to improve their marketing efforts. The paper uses the example of Divar, an online marketplace…

Computation and Language · Computer Science 2023-05-05 Ali Mehrban , Pegah Ahadian

The proliferation of hate speech and offensive comments on social media has become increasingly prevalent due to user activities. Such comments can have detrimental effects on individuals' psychological well-being and social behavior. While…

Hateful videos pose serious risks by amplifying discrimination, inciting violence, and undermining online safety. Existing training-based hateful video detection methods are constrained by limited training data and lack of interpretability,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Shuonan Yang , Yuchen Zhang , Zeyu Fu

YouTube is the leading social media platform for sharing videos. As a result, it is plagued with misleading content that includes staged videos presented as real footages from an incident, videos with misrepresented context and videos where…

Computation and Language · Computer Science 2019-01-28 Priyank Palod , Ayush Patwari , Sudhanshu Bahety , Saurabh Bagchi , Pawan Goyal

In today's global digital landscape, misinformation transcends linguistic boundaries, posing a significant challenge for moderation systems. Most approaches to misinformation detection are monolingual, focused on high-resource languages,…

Computation and Language · Computer Science 2025-04-01 Xinyu Wang , Wenbo Zhang , Sarah Rajtmajer

Multimodal misinformation on online social platforms is becoming a critical concern due to increasing credibility and easier dissemination brought by multimedia content, compared to traditional text-only information. While existing…

Multimedia · Computer Science 2024-09-17 Hui Liu , Wenya Wang , Haoliang Li

As growing usage of social media websites in the recent decades, the amount of news articles spreading online rapidly, resulting in an unprecedented scale of potentially fraudulent information. Although a plenty of studies have applied the…

Machine Learning · Computer Science 2023-04-21 Hao Chen , Peng Zheng , Xin Wang , Shu Hu , Bin Zhu , Jinrong Hu , Xi Wu , Siwei Lyu

With the growing adoption of short-form video by social media platforms, reducing the spread of misinformation through video posts has become a critical challenge for social media providers. In this paper, we develop methods to detect…

Computer Vision and Pattern Recognition · Computer Science 2022-08-02 Kehan Wang , David Chan , Seth Z. Zhao , John Canny , Avideh Zakhor

Combating disinformation is one of the burning societal crises -- about 67% of the American population believes that disinformation produces a lot of uncertainty, and 10% of them knowingly propagate disinformation. Evidence shows that…

With the continuing spread of misinformation and disinformation online, it is of increasing importance to develop combating mechanisms at scale in the form of automated systems that support multiple languages. One task of interest is claim…

Computation and Language · Computer Science 2021-05-19 Tariq Alhindi , Amal Alabdulkarim , Ali Alshehri , Muhammad Abdul-Mageed , Preslav Nakov

Dark humor often relies on subtle cultural nuances and implicit cues that require contextual reasoning to interpret, posing safety challenges that current static benchmarks fail to capture. To address this, we introduce a novel multimodal,…

Computation and Language · Computer Science 2026-03-20 Ahmed Sharshar , Hosam Elgendy , Saad El Dine Ahmed , Yasser Rohaim , Yuxia Wang