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In this position paper we approach problems concerning critical digital and information literacy with ideas to provide more digestible explanations of abstract concepts through interface design. In particular, we focus on social media…

Human-Computer Interaction · Computer Science 2021-06-04 Jan Wolff

The spread of misinformation is a pressing global problem that has elicited a range of responses from researchers, policymakers, civil society and industry. Over the past decade, these stakeholders have developed many interventions to…

Computers and Society · Computer Science 2022-12-23 Pica Johansson , Florence Enock , Scott Hale , Bertie Vidgen , Cassidy Bereskin , Helen Margetts , Jonathan Bright

Recent years have witnessed the sustained evolution of misinformation that aims at manipulating public opinions. Unlike traditional rumors or fake news editors who mainly rely on generated and/or counterfeited images, text and videos,…

Computation and Language · Computer Science 2024-04-09 Yizhou Zhang , Loc Trinh , Defu Cao , Zijun Cui , Yan Liu

Understanding and communicating data uncertainty is crucial for making informed decisions in sectors like finance and healthcare. Previous work has explored how to express uncertainty in various modes. For example, uncertainty can be…

Human-Computer Interaction · Computer Science 2024-04-15 Chase Stokes , Chelsea Sanker , Bridget Cogley , Vidya Setlur

The landscape of social media content has evolved significantly, extending from text to multimodal formats. This evolution presents a significant challenge in combating misinformation. Previous research has primarily focused on single…

Multimedia · Computer Science 2024-09-04 Zhe Fu , Kanlun Wang , Wangjiaxuan Xin , Lina Zhou , Shi Chen , Yaorong Ge , Daniel Janies , Dongsong Zhang

The current public sense of anxiety in dealing with disinformation as manifested by so-called fake news is acutely displayed by the reaction to recent events prompted by a belief in conspiracies among certain groups. A model to deal with…

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

Research in combating misinformation reports many negative results: facts may not change minds, especially if they come from sources that are not trusted. Individuals can disregard and justify lies told by trusted sources. This problem is…

Computers and Society · Computer Science 2019-11-15 Benjamin D. Horne , Maurício Gruppi , Sibel Adalı

Online disinformation poses an escalating threat to society, driven increasingly by the rapid spread of misleading content across both multimedia and multilingual platforms. While automated fact-checking methods have advanced in recent…

Computation and Language · Computer Science 2026-01-19 Rafael Martins Frade , Rrubaa Panchendrarajan , Arkaitz Zubiaga

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

Bayesian Persuasion is proposed as a tool for social media platforms to combat the spread of misinformation. Since platforms can use machine learning to predict the popularity and misinformation features of to-be-shared posts, and users are…

Computer Science and Game Theory · Computer Science 2024-02-15 Safwan Hossain , Andjela Mladenovic , Yiling Chen , Gauthier Gidel

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

In contemporary information ecologies saturated with misinformation, disinformation, and a distrust of science itself, public data communication faces significant hurdles. Although visualization research has broadened criteria for effective…

Human-Computer Interaction · Computer Science 2025-08-12 Michelle Morgenstern , Amy Rae Fox , Graham M. Jones , Arvind Satyanarayan

Cyber information influence, or disinformation in general terms, is widely regarded as one of the biggest threats to social progress and government stability. From US presidential elections to European Union referendums and down to regional…

Cryptography and Security · Computer Science 2025-04-01 Jason M. Pittman

Counterfactuals -- expressing what might have been true under different circumstances -- have been widely applied in statistics and machine learning to help understand causal relationships. More recently, counterfactuals have begun to…

Human-Computer Interaction · Computer Science 2024-04-08 Arran Zeyu Wang , David Borland , David Gotz

Mis- and disinformation are a substantial global threat to our security and safety. To cope with the scale of online misinformation, researchers have been working on automating fact-checking by retrieving and verifying against relevant…

Cryptography and Security · Computer Science 2023-06-19 Sahar Abdelnabi , Mario Fritz

Misinformation is a complex societal issue, and mitigating solutions are difficult to create due to data deficiencies. To address this, we have curated the largest collection of (mis)information datasets in the literature, totaling 75. From…

The spread of online misinformation threatens public health, democracy, and the broader society. While professional fact-checkers form the first line of defense by fact-checking popular false claims, they do not engage directly in…

Social and Information Networks · Computer Science 2023-03-14 Bing He , Mustaque Ahamad , Srijan Kumar

Social media content routinely incorporates multi-modal design to covey information and shape meanings, and sway interpretations toward desirable implications, but the choices and outcomes of using both texts and visual images have not been…

Computation and Language · Computer Science 2023-03-13 Mesut Erhan Unal , Adriana Kovashka , Wen-Ting Chung , Yu-Ru Lin

Vision-Language Models (VLMs) have shown strong multimodal reasoning capabilities on Visual-Question-Answering (VQA) benchmarks. However, their robustness against textual misinformation remains under-explored. While existing research has…

Computation and Language · Computer Science 2026-01-28 Chi Zhang , Wenxuan Ding , Jiale Liu , Mingrui Wu , Qingyun Wu , Ray Mooney