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Misinformation on YouTube is a significant concern, necessitating robust detection strategies. In this paper, we introduce a novel methodology for video classification, focusing on the veracity of the content. We convert the conventional…

Computation and Language · Computer Science 2023-07-25 Christos Christodoulou , Nikos Salamanos , Pantelitsa Leonidou , Michail Papadakis , Michael Sirivianos

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

With information consumption via online video streaming becoming increasingly popular, misinformation video poses a new threat to the health of the online information ecosystem. Though previous studies have made much progress in detecting…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Yuyan Bu , Qiang Sheng , Juan Cao , Peng Qi , Danding Wang , Jintao Li

YouTube is the leading social media platform for sharing videos. As a result, it is plagued with misleading content that includes staged videos presented as real footages from an incident, videos with misrepresented context and videos where…

Computation and Language · Computer Science 2019-01-28 Priyank Palod , Ayush Patwari , Sudhanshu Bahety , Saurabh Bagchi , Pawan Goyal

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

Recent years have witnessed a significant increase in the online sharing of medical information, with videos representing a large fraction of such online sources. Previous studies have however shown that more than half of the health-related…

Machine Learning · Computer Science 2019-09-05 Rui Hou , Verónica Pérez-Rosas , Stacy Loeb , Rada Mihalcea

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

In this paper, we present results of an auditing study performed over YouTube aimed at investigating how fast a user can get into a misinformation filter bubble, but also what it takes to "burst the bubble", i.e., revert the bubble…

There has been rampant propagation of fake news and misinformation videos on many platforms lately, and moderation of such content faces many challenges that must be overcome. Recent research has shown the feasibility of identifying video…

Cryptography and Security · Computer Science 2024-07-16 Petar Smolovic , Thilini Dahanayaka , Kanchana Thilakarathna

As a YouTube channel grows, each video can potentially collect enormous amounts of comments that provide direct feedback from the viewers. These comments are a major means of understanding viewer expectations and improving channel…

Information Retrieval · Computer Science 2023-06-05 Rhitabrat Pokharel , Dixit Bhatta

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

YouTube has revolutionized the way people discover and consume video. Although YouTube facilitates easy access to hundreds of well-produced and trustworthy videos, abhorrent, misinformative, and mistargeted content is also common. The…

Computers and Society · Computer Science 2021-05-21 Kostantinos Papadamou

As social media becomes increasingly prominent in our day to day lives, it is increasingly important to detect informative content and prevent the spread of disinformation and unverified rumours. While many sophisticated and successful…

Computation and Language · Computer Science 2021-04-15 Kellin Pelrine , Jacob Danovitch , Reihaneh Rabbany

We conduct a preliminary analysis of comments on political YouTube content containing misinformation in comparison to comments on trustworthy or apolitical videos, labelling the bias and factual ratings of our channels according to Media…

Computers and Society · Computer Science 2019-09-17 Aarash Heydari , Janny Zhang , Shaan Appel , Xinyi Wu , Gireeja Ranade

Social media has become an essential part of the daily routines of children and adolescents. Moreover, enormous efforts have been made to ensure the psychological and emotional well-being of young users as well as their safety when…

Computers and Society · Computer Science 2021-03-17 Sultan Alshamrani , Ahmed Abusnaina , Mohammed Abuhamad , Daehun Nyang , David Mohaisen

Prior work has extensively studied misinformation related to news, politics, and health, however, misinformation can also be about technological topics. While less controversial, such misinformation can severely impact companies'…

Computers and Society · Computer Science 2023-06-19 Mohit Singhal , Nihal Kumarswamy , Shreyasi Kinhekar , Shirin Nilizadeh

Detecting out-of-context media, such as "mis-captioned" images on Twitter, is a relevant problem, especially in domains of high public significance. In this work we aim to develop defenses against such misinformation for the topics of…

Computer Vision and Pattern Recognition · Computer Science 2022-05-04 Giscard Biamby , Grace Luo , Trevor Darrell , Anna Rohrbach

YouTube is an important source of news and entertainment worldwide, but the scale makes it challenging to study the ideas and topics being discussed on the platform. This paper presents new methods to discover and classify YouTube channels…

Machine Learning · Computer Science 2020-10-21 Sam Clark , Anna Zaitsev

Since 2016, the amount of academic research with the keyword "misinformation" has more than doubled [2]. This research often focuses on article headlines shown in artificial testing environments, yet misinformation largely spreads through…

Human-Computer Interaction · Computer Science 2020-12-16 Emily Saltz , Claire Leibowicz , Claire Wardle

With the increasing influence of social media, online misinformation has grown to become a societal issue. The motivation for our work comes from the threat caused by cheapfakes, where an unaltered image is described using a news caption in…

Multimedia · Computer Science 2024-03-20 Anurag Singh , Shivangi Aneja
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