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Large language models are limited by challenges in factuality and hallucinations to be directly employed off-the-shelf for judging the veracity of news articles, where factual accuracy is paramount. In this work, we propose DELL that…

Computation and Language · Computer Science 2024-07-08 Herun Wan , Shangbin Feng , Zhaoxuan Tan , Heng Wang , Yulia Tsvetkov , Minnan Luo

The exponential growth of social media and generative AI has transformed information dissemination, fostering connectivity but also accelerating the spread of misinformation. Understanding information propagation dynamics and developing…

Artificial Intelligence · Computer Science 2025-07-09 Litian Zhang , Xiaoming Zhang , Bingyu Yan , Ziyi Zhou , Bo Zhang , Zhenyu Guan , Xi Zhang , Chaozhuo Li

The dissemination of false information on online platforms presents a serious societal challenge. While manual fact-checking remains crucial, Large Language Models (LLMs) offer promising opportunities to support fact-checkers with their…

Computation and Language · Computer Science 2024-10-31 Ivan Vykopal , Matúš Pikuliak , Simon Ostermann , Marián Šimko

Over one in five adults in the US lives with a mental illness. In the face of a shortage of mental health professionals and offline resources, online short-form video content has grown to serve as a crucial conduit for disseminating mental…

Large language models (LLMs) make it possible to generate synthetic behavioural data at scale, offering an ethical and low-cost alternative to human experiments. Whether such data can faithfully capture psychological differences driven by…

Computation and Language · Computer Science 2025-11-27 Manuel Pratelli , Marinella Petrocchi

Fake news is a growing problem in developing countries with potentially far-reaching consequences. We conduct a randomized experiment in urban Pakistan to evaluate the effectiveness of two educational interventions to counter misinformation…

General Economics · Economics 2021-07-07 Ayesha Ali , Ihsan Ayyub Qazi

We present a systematic review of peer-reviewed research into ways to mitigate manipulative information about climate change on social media. Such information may include disinformation, harmful influence campaigns, or the unintentional…

Computers and Society · Computer Science 2024-11-01 Aliaksandr Herasimenka , Xianlingchen Wang , Ralph Schroeder

Large Language Models (LLMs) have garnered significant attention for their powerful ability in natural language understanding and reasoning. In this paper, we present a comprehensive empirical study to explore the performance of LLMs on…

Computation and Language · Computer Science 2024-12-30 Mengyang Chen , Lingwei Wei , Han Cao , Wei Zhou , Songlin Hu

Increased sophistication of large language models (LLMs) and the consequent quality of generated multilingual text raises concerns about potential disinformation misuse. While humans struggle to distinguish LLM-generated content from…

Computation and Language · Computer Science 2026-02-05 Dominik Macko , Aashish Anantha Ramakrishnan , Jason Samuel Lucas , Robert Moro , Ivan Srba , Adaku Uchendu , Dongwon Lee

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 via these platforms is an issue of growing concern. A large…

Social and Information Networks · Computer Science 2020-10-20 Amrita Bhattacharjee , Kai Shu , Min Gao , Huan Liu

The rapid proliferation of misinformation across online platforms underscores the urgent need for robust, up-to-date, explainable, and multilingual fact-checking resources. However, existing datasets are limited in scope, often lacking…

Computation and Language · Computer Science 2026-03-18 Z. Melce Hüsünbeyi , Virginie Mouilleron , Leonie Uhling , Daniel Foppe , Tatjana Scheffler , Djamé Seddah

Information transmitted across modern communication platforms is degraded not only by intentional manipulation (disinformation) but also by intrinsic cognitive decay and topology-dependent social averaging (misinformation). We develop a…

Physics and Society · Physics 2025-11-25 Jeff Murugan

Previous work suggests that people's preference for different kinds of information depends on more than just accuracy. This could happen because the messages contained within different pieces of information may either be well-liked or…

Computers and Society · Computer Science 2022-07-01 Alexandros Efstratiou , Emiliano De Cristofaro

The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news, and mitigation of its widespread impact on public opinion. While much of the earlier research…

Machine Learning · Computer Science 2019-01-23 Karishma Sharma , Feng Qian , He Jiang , Natali Ruchansky , Ming Zhang , Yan Liu

Misinformation is now a major problem due to its potential high risks to our core democratic and societal values and orders. Out-of-context misinformation is one of the easiest and effective ways used by adversaries to spread viral false…

Computer Vision and Pattern Recognition · Computer Science 2022-03-22 Sahar Abdelnabi , Rakibul Hasan , Mario Fritz

Conventional preventive measures during pandemic include social distancing and lockdown. Such measures in the time of social media brought about a new set of challenges - vulnerability to the toxic impact of online misinformation is high. A…

Social and Information Networks · Computer Science 2021-02-16 Isa Inuwa-Dutse

Social media is interactive, and interaction brings misinformation. With the growing amount of user-generated data, fake news on online platforms has become much frequent since the arrival of social networks. Now and then, an event occurs…

Social and Information Networks · Computer Science 2021-11-24 Chahat Raj , Priyanka Meel

Misinformation about critical issues such as climate change and vaccine safety is oftentimes amplified on online social and search platforms. The crowdsourcing of content credibility assessment by laypeople has been proposed as one strategy…

Human-Computer Interaction · Computer Science 2020-08-24 Md Momen Bhuiyan , Amy X. Zhang , Connie Moon Sehat , Tanushree Mitra

Misinformation can be countered with fact-checking, but the process is costly and slow. Identifying checkworthy claims is the first step, where automation can help scale fact-checkers' efforts. However, detection methods struggle with…

Artificial Intelligence · Computer Science 2025-06-05 Michiel van der Meer , Pavel Korshunov , Sébastien Marcel , Lonneke van der Plas

We present Verifi2, a visual analytic system to support the investigation of misinformation on social media. On the one hand, social media platforms empower individuals and organizations by democratizing the sharing of information. On the…

Human-Computer Interaction · Computer Science 2019-03-19 Alireza Karduni , Isaac Cho , Ryan Wesslen , Sashank Santhanam , Svitlana Volkova , Dustin Arendt , Samira Shaikh , Wenwen Dou