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Related papers: Designing Indicators to Combat Fake Media

200 papers

Recent advancements in AI-based multimedia generation have enabled the creation of hyper-realistic images and videos, raising concerns about their potential use in spreading misinformation. The widespread accessibility of generative…

Computer Vision and Pattern Recognition · Computer Science 2025-04-30 Joy Battocchio , Stefano Dell'Anna , Andrea Montibeller , Giulia Boato

Fake websites have emerged as a major source of online fraud, accounting for billions of dollars of loss by Internet users. We explore the process by which salient design elements could increase the use of protective tools, thus reducing…

Computers and Society · Computer Science 2013-09-30 F. Mariam Zahedi , Ahmed Abbasi , Yan Chen

The battle against the spread of misinformation on the Internet is a daunting task faced by modern society. Fake news content is primarily distributed through digital platforms, with websites dedicated to producing and disseminating such…

Social media users who report content are key allies in the management of online misinformation, however, no research has been conducted yet to understand their role and the different trends underlying their reporting activity. We suggest…

Social and Information Networks · Computer Science 2023-05-09 Hubert Etienne , Onur Çelebi

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

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

Demonstrating the veracity of videos is a longstanding problem that has recently become more urgent and acute. It is extremely hard to accurately detect manipulated videos using content analysis, especially in the face of subtle, yet…

Cryptography and Security · Computer Science 2021-09-28 Yuxin , Liu , Yoshimichi Nakatsuka , Ardalan Amiri Sani , Sharad Agarwal , Gene Tsudik

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

As deepfake videos become increasingly difficult for people to recognise, understanding the strategies humans use is key to designing effective media literacy interventions. We conducted a study with 195 participants between the ages of 21…

Multimedia · Computer Science 2026-02-03 Chen Chen , Dion Hoe-Lian Goh

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

Digital information exchange enables quick creation and sharing of information and thus changes existing habits. Social media is becoming the main source of news for end-users replacing traditional media. This also enables the proliferation…

Information Theory · Computer Science 2021-10-04 Aljaž Zrnec , Marko Poženel , Dejan Lavbič

The increasing popularity of social media promotes the proliferation of fake news, which has caused significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area of great…

Multimedia · Computer Science 2020-03-16 Juan Cao , Peng Qi , Qiang Sheng , Tianyun Yang , Junbo Guo , Jintao Li

The development of technologies for easily and automatically falsifying video has raised practical questions about people's ability to detect false information online. How vulnerable are people to deepfake videos? What technologies can be…

Human-Computer Interaction · Computer Science 2023-04-11 Emilie Josephs , Camilo Fosco , Aude Oliva

Social media and messaging apps have become major communication platforms. Multimedia contents promote improved user engagement and have thus become a very important communication tool. However, fake news and manipulated content can easily…

Computer Vision and Pattern Recognition · Computer Science 2022-12-08 Irene Amerini , Aris Anagnostopoulos , Luca Maiano , Lorenzo Ricciardi Celsi

Creative works, whether paintings or memes, follow unique journeys that result in their final form. Understanding these journeys, a process known as "provenance analysis", provides rich insights into the use, motivation, and authenticity…

Computer Vision and Pattern Recognition · Computer Science 2019-03-08 Aparna Bharati , Daniel Moreira , Joel Brogan , Patricia Hale , Kevin W. Bowyer , Patrick J. Flynn , Anderson Rocha , Walter J. Scheirer

This article reports on a Research through Design study exploring how to design a tool for helping readers of science journalism understand the strength and uncertainty of scientific evidence in news stories about health science, using both…

Digital Libraries · Computer Science 2023-04-12 Anders Sundnes Løvlie , Astrid Waagstein , Peter Hyldgård

The status-quo of misinformation moderation is a central authority, usually social platforms, deciding what content constitutes misinformation and how it should be handled. However, to preserve users' autonomy, researchers have explored…

Human-Computer Interaction · Computer Science 2024-03-19 Farnaz Jahanbakhsh , David R. Karger

Millions of people use platforms such as YouTube, Facebook, Twitter, and other mass media. Due to the accessibility of these platforms, they are often used to establish a narrative, conduct propaganda, and disseminate misinformation. This…

Machine Learning · Computer Science 2021-07-05 Raj Jagtap , Abhinav Kumar , Rahul Goel , Shakshi Sharma , Rajesh Sharma , Clint P. George

As social media platforms are evolving from text-based forums into multi-modal environments, the nature of misinformation in social media is also transforming accordingly. Taking advantage of the fact that visual modalities such as images…

Machine Learning · Computer Science 2024-09-19 Sara Abdali , Sina shaham , Bhaskar Krishnamachari

The prevalence of new technologies and social media has amplified the effects of misinformation on our societies. Thus, it is necessary to create computational tools to mitigate their effects effectively. This study aims to provide a…

Human-Computer Interaction · Computer Science 2019-03-19 Alireza Karduni