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We present the first large-scale measurement study of cross-partisan discussions between liberals and conservatives on YouTube, based on a dataset of 274,241 political videos from 973 channels of US partisan media and 134M comments from…

社会与信息网络 · 计算机科学 2021-04-13 Siqi Wu , Paul Resnick

As of 2018, YouTube, the major online video sharing website, hosts multiple channels promoting right-wing content. In this paper, we observe issues related to hate, violence and discriminatory bias in a dataset containing more than 7,000…

社会与信息网络 · 计算机科学 2018-04-12 Raphael Ottoni , Evandro Cunha , Gabriel Magno , Pedro Bernadina , Wagner Meira , Virgilio Almeida

The role played by YouTube's recommendation algorithm in unwittingly promoting misinformation and conspiracy theories is not entirely understood. Yet, this can have dire real-world consequences, especially when pseudoscientific content is…

This paper contributes to the ongoing discussions on the scholarly access to social media data, discussing a case where this access is barred despite its value for understanding and countering online disinformation and despite the absence…

社会与信息网络 · 计算机科学 2022-10-04 Maria Castaldo , Paolo Frasca , Tommaso Venturini , Floriana Gargiulo

With the 2022 US midterm elections approaching, conspiratorial claims about the 2020 presidential elections continue to threaten users' trust in the electoral process. To regulate election misinformation, YouTube introduced policies to…

计算机与社会 · 计算机科学 2023-02-16 Prerna Juneja , Md Momen Bhuiyan , Tanushree Mitra

Online debates are often characterised by extreme polarisation and heated discussions among users. The presence of hate speech online is becoming increasingly problematic, making necessary the development of appropriate countermeasures. In…

社会与信息网络 · 计算机科学 2021-05-31 Matteo Cinelli , Andraž Pelicon , Igor Mozetič , Walter Quattrociocchi , Petra Kralj Novak , Fabiana Zollo

We address the problem of predicting the leading political ideology, i.e., left-center-right bias, for YouTube channels of news media. Previous work on the problem has focused exclusively on text and on analysis of the language used, topics…

计算与语言 · 计算机科学 2019-10-22 Yoan Dinkov , Ahmed Ali , Ivan Koychev , Preslav Nakov

The spread of inaccurate and misleading information may alter behaviours and complicate crisis management, especially during an emergency like the COVID-19 pandemic. This paper aims to investigate information diffusion during the COVID-19…

计算机与社会 · 计算机科学 2022-12-01 Niccolò Di Marco , Matteo Cinelli , Walter Quattrociocchi

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…

计算机与社会 · 计算机科学 2021-05-21 Kostantinos Papadamou

YouTube is the second most visited website in the world and receives comments from millions of commenters daily. The comments section acts as a space for discussions among commenters, but it could also be a breeding ground for problematic…

社会与信息网络 · 计算机科学 2023-04-18 Shadi Shajari , Nitin Agarwal , Mustafa Alassad

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…

机器学习 · 计算机科学 2021-07-05 Raj Jagtap , Abhinav Kumar , Rahul Goel , Shakshi Sharma , Rajesh Sharma , Clint P. George

YouTube has today become the primary news source for many users, which raises concerns about the role its recommendation algorithm can play in the spread of misinformation and political polarization. Prior work in this area has mainly…

计算机与社会 · 计算机科学 2026-03-27 Salim Chouaki , Savaiz Nazir , Sandra Siby

We propose a novel framework for predicting the factuality of reporting of news media outlets by studying the user attention cycles in their YouTube channels. In particular, we design a rich set of features derived from the temporal…

计算与语言 · 计算机科学 2021-08-31 Krasimira Bozhanova , Yoan Dinkov , Ivan Koychev , Maria Castaldo , Tommaso Venturini , Preslav Nakov

An important challenge in the process of tracking and detecting the dissemination of misinformation is to understand the political gap between people that engage with the so called "fake news". A possible factor responsible for this gap is…

社会与信息网络 · 计算机科学 2017-07-18 Manoel Horta Ribeiro , Pedro H. Calais , Virgílio A. F. Almeida , Wagner Meira

As civil discourse increasingly takes place online, misinformation and the polarization of news shared in online communities have become ever more relevant concerns with real world harms across our society. Studying online news sharing at…

计算机与社会 · 计算机科学 2022-05-11 Galen Weld , Maria Glenski , Tim Althoff

With the emergence and rapid proliferation of social media platforms and social networking sites, recent years have witnessed a surge of misinformation spreading in our daily life. Drawing on a large-scale dataset which covers more than…

社会与信息网络 · 计算机科学 2021-04-07 Yafei Zhang , Lin Wang , Jonathan J. H. Zhu , Xiaofan Wang

In this study, we characterize the cross-platform mobilization of YouTube and BitChute videos on Twitter during the 2020 U.S. Election fraud discussions. Specifically, we extend the VoterFraud2020 dataset to describe the prevalence of…

社会与信息网络 · 计算机科学 2022-03-31 Matthew C. Childs , Cody Buntain , Milo Z. Trujillo , Benjamin D. Horne

The ideological asymmetries have been recently observed in contested online spaces, where conservative voices seem to be relatively more pronounced even though liberals are known to have the population advantage on digital platforms. Most…

社会与信息网络 · 计算机科学 2022-04-12 JooYoung Lee , Siqi Wu , Ali Mert Ertugrul , Yu-Ru Lin , Lexing Xie

Online video-sharing sites such as YouTube are very popular and also used by a lot of people to obtain knowledge and information, also on science, health and technology. Technically they could be valuable tools for the public communication…

计算机与社会 · 计算机科学 2016-04-19 Joachim Allgaier

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…

信息检索 · 计算机科学 2023-06-05 Rhitabrat Pokharel , Dixit Bhatta
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