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In the past few years, the research community has dedicated growing interest to the issue of false news circulating on social networks. The widespread attention on detecting and characterizing false news has been motivated by considerable…

Social and Information Networks · Computer Science 2020-01-29 Francesco Pierri , Stefano Ceri

Cheapfakes, or real images presented misleadingly or in unrelated contexts, are an increasingly prominent form of visual misinformation. While media literacy interventions can enhance individuals' ability to detect such content,…

Human-Computer Interaction · Computer Science 2026-05-21 Sijia Qian , Cuihua Shen , Jingwen Zhang , Magdalena Wojcieszak

Multimedia content has become ubiquitous on social media platforms, leading to the rise of multimodal misinformation (MM) and the urgent need for effective strategies to detect and prevent its spread. In recent years, the challenge of…

Computer Vision and Pattern Recognition · Computer Science 2023-10-19 Stefanos-Iordanis Papadopoulos , Christos Koutlis , Symeon Papadopoulos , Panagiotis C. Petrantonakis

The spread of misinformation through online social media platforms has had substantial societal consequences. As a result, platforms have introduced measures to alert users of news content that may be misleading or contain inaccuracies as a…

Human-Computer Interaction · Computer Science 2024-10-02 Hana Habib , Sara Elsharawy , Rifat Rahman

Over the past couple of years, the topic of "fake news" and its influence over people's opinions has become a growing cause for concern. Although the spread of disinformation on the Internet is not a new phenomenon, the widespread use of…

Computation and Language · Computer Science 2019-10-29 Jillian Tompkins

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

The rapid advancement of deep generative models has significantly improved the realism of synthetic media, presenting both opportunities and security challenges. While deepfake technology has valuable applications in entertainment and…

Machine Learning · Computer Science 2025-06-09 Arnesh Batra , Anushk Kumar , Jashn Khemani , Arush Gumber , Arhan Jain , Somil Gupta

With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now guarantee a very advanced level of realism. The boundary between real and synthetic media has become very thin. On the one hand,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Luisa Verdoliva

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

How can we best address the dangerous impact that deep learning-generated fake audios, photographs, and videos (a.k.a. deepfakes) may have in personal and societal life? We foresee that the availability of cheap deepfake technology will…

Computers and Society · Computer Science 2022-04-05 Claudio S. Pinhanez , German H. Flores , Marisa A. Vasconcelos , Mu Qiao , Nick Linck , Rogério de Paula , Yuya J. Ong

False information can be created and spread easily through the web and social media platforms, resulting in widespread real-world impact. Characterizing how false information proliferates on social platforms and why it succeeds in deceiving…

Social and Information Networks · Computer Science 2018-04-24 Srijan Kumar , Neil Shah

Fake news has become omnipresent in digitalized areas such as social media platforms. While being disseminated online, it also poses a threat to individuals and societies offline, for example, in the context of democratic elections.…

Human-Computer Interaction · Computer Science 2021-09-29 Enrico Bunde , Niklas Kühl , Christian Meske

The most effective misinformation campaigns are multimodal, often combining text with images and videos taken out of context -- or fabricating them entirely -- to support a given narrative. Contemporary methods for detecting misinformation,…

Computation and Language · Computer Science 2025-02-17 Tomas Peterka , Matyas Bohacek

Given the growing prevalence of fake information, including increasingly realistic AI-generated news, there is an urgent need to train people to better evaluate and detect misinformation. While interactions with AI have been shown to…

Human-Computer Interaction · Computer Science 2026-03-17 Anku Rani , Valdemar Danry , Paul Pu Liang , Andrew B. Lippman , Pattie Maes

The spread of misinformation in social media outlets has become a prevalent societal problem and is the cause of many kinds of social unrest. Curtailing its prevalence is of great importance and machine learning has shown significant…

Artificial Intelligence · Computer Science 2023-04-25 Yueyang Liu , Zois Boukouvalas , Nathalie Japkowicz

Climate disinformation has become a major challenge in today digital world, especially with the rise of misleading images and videos shared widely on social media. These false claims are often convincing and difficult to detect, which can…

Artificial Intelligence · Computer Science 2026-01-23 Marzieh Adeli Shamsabad , Hamed Ghodrati

Misinformation is a global problem in modern social media platforms with few solutions known to be effective. Social media platforms have offered tools to raise awareness of information, but these are closed systems that have not been…

Human-Computer Interaction · Computer Science 2023-04-19 Yeongdae Kim , Takane Ueno , Katie Seaborn , Hiroki Oura , Jacqueline Urakami , Yuto Sawa

Online misinformation is one of the most challenging issues lately, yielding severe consequences, including political polarization, attacks on democracy, and public health risks. Misinformation manifests in any platform with a large user…

Computation and Language · Computer Science 2026-04-24 Breno Matos , Rennan C. Lima , Savvas Zannettou , Fabricio Benevenuto , Rodrygo L. T. Santos

Under the aegis of computer vision and deep learning technology, a new emerging techniques has introduced that anyone can make highly realistic but fake videos, images even can manipulates the voices. This technology is widely known as…

Machine Learning · Computer Science 2023-02-15 Bahar Uddin Mahmud , Afsana Sharmin

As language and vision-language models (VLMs) become central to information access and online interaction, concerns grow about their potential to amplify misinformation. Human studies show that images boost the perceived credibility and…

Computation and Language · Computer Science 2026-04-29 Alice Plebe , Timothy Douglas , Diana Riazi , R. Maria del Rio-Chanona