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The proliferation of false information in the digital age has become a pressing concern, necessitating the development of effective and robust detection methods. This paper offers a comprehensive review of existing false information…

Social and Information Networks · Computer Science 2025-06-24 Kun Xie , Sibo Wang

Social technologies are the systems, interfaces, features, infrastructures, and architectures that allow people to interact with each other online. These technologies dramatically shape the fabric of our everyday lives, from the information…

A new era of Information Warfare has arrived. Various actors, including state-sponsored ones, are weaponizing information on Online Social Networks to run false information campaigns with targeted manipulation of public opinion on specific…

Social and Information Networks · Computer Science 2019-07-22 Savvas Zannettou , Michael Sirivianos , Jeremy Blackburn , Nicolas Kourtellis

Following the 2016 US presidential election and the now overwhelming evidence of Russian interference, there has been an explosion of interest in the phenomenon of "fake news". To date, research on false news has centered around detecting…

Social and Information Networks · Computer Science 2022-06-28 Keeley Erhardt , Alex Pentland

Recent years have witnessed the proliferation of offensive content online such as fake news, propaganda, misinformation, and disinformation. While initially this was mostly about textual content, over time images and videos gained…

Misinformation remains one of the most significant issues in the digital age. While automated fact-checking has emerged as a viable solution, most current systems are limited to evaluating factual accuracy. However, the detrimental effect…

Computation and Language · Computer Science 2025-09-22 Arghodeep Nandi , Megha Sundriyal , Euna Mehnaz Khan , Jikai Sun , Emily Vraga , Jaideep Srivastava , Tanmoy Chakraborty

This paper presents a systematic literature review in Computer Science that provide an overview of the initiatives related to digital misinformation. This is an exploratory study that covers research from 1993 to 2020, focusing on the…

Computers and Society · Computer Science 2024-06-19 Alisson Andrey Puska , Luiz Adolpho Baroni , Roberto Pereira

This paper investigates the propagation of harmful information in multilingual large language models (LLMs) and evaluates the efficacy of various unlearning methods. We demonstrate that fake information, regardless of the language it is in,…

Computation and Language · Computer Science 2025-09-04 Taiming Lu , Philipp Koehn

A major problem that resulted from the massive use of social media networks is the diffusion of incorrect information. However, very few studies have investigated the impact of incorrect information on individual and collective decisions.…

The growing trend of sharing news/contents, through social media platforms and the World Wide Web has been seen to impact our perception of the truth, altering our views about politics, economics, relationships, needs and wants. This is…

Cryptography and Security · Computer Science 2020-09-01 Zakwan Jaroucheh , Mohamad Alissa , William J Buchanan

In recent years, scholars have raised concerns on the effects that unreliable news, or "fake news," has on our political sphere, and our democracy as a whole. For example, the propagation of fake news on social media is widely believed to…

Social and Information Networks · Computer Science 2023-09-28 Banafsheh Behzad , Bhavana Bheem , Daniela Elizondo , Deyana Marsh , Susan Martonosi

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

Social technologies have made it possible to propagate disinformation and manipulate the masses at an unprecedented scale. This is particularly alarming from a security perspective, as humans have proven to be the weakest link when…

Social and Information Networks · Computer Science 2020-09-09 Gururaghav Raman , Bedoor AlShebli , Marcin Waniek , Talal Rahwan , Jimmy Chih-Hsien Peng

The concept of disinformation is to use fake messages to confuse people in order to protect the real information. This strategy can be adapted into data science to protect valuable private and sensitive data. Huge amount of private data are…

Artificial Intelligence · Computer Science 2020-12-11 He Zhu , Dianbo Liu

The rise of social media has enabled the widespread propagation of fake news, text that is published with an intent to spread misinformation and sway beliefs. Rapidly detecting fake news, especially as new events arise, is important to…

Computation and Language · Computer Science 2023-09-27 Nikhil Mehta , Dan Goldwasser

Generative deep learning models are able to create realistic audio and video. This technology has been used to impersonate the faces and voices of individuals. These ``deepfakes'' are being used to spread misinformation, enable scams,…

Artificial Intelligence · Computer Science 2023-06-06 Guy Frankovits , Yisroel Mirsky

Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the problem, detect fake news in real time, and mitigate its…

The rise in online misinformation in recent years threatens democracies by distorting authentic public discourse and causing confusion, fear, and even, in extreme cases, violence. There is a need to understand the spread of false content…

The spread of digital disinformation (aka "fake news") is arguably one of the most significant threats on the Internet which can cause individual and societal harm of large scales. The susceptibility to fake news attacks hinges on whether…

Computation and Language · Computer Science 2022-07-19 Cagri Arisoy , Anuradha Mandal , Nitesh Saxena

This paper proposes a conceptual framework for understanding AI hallucinations as a distinct form of misinformation. While misinformation scholarship has traditionally focused on human intent, generative AI systems now produce false yet…

Human-Computer Interaction · Computer Science 2025-05-08 Anqi Shao