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Automated social media accounts, known as bots, are increasingly recognized as key tools for manipulative online activities. These activities can stem from coordination among several accounts and these automated campaigns can manipulate…

Social and Information Networks · Computer Science 2023-11-01 Yasser Zouzou , Onur Varol

In January 2019, YouTube announced it would exclude potentially harmful content from video recommendations but allow such videos to remain on the platform. While this step intends to reduce YouTube's role in propagating such content,…

Social and Information Networks · Computer Science 2021-04-26 Cody Buntain , Richard Bonneau , Jonathan Nagler , Joshua A. Tucker

On social media algorithms for content promotion, accounting for users preferences, might limit the exposure to unsolicited contents. In this work, we study how the same contents (videos) are consumed on different platforms -- i.e. Facebook…

Social and Information Networks · Computer Science 2016-09-28 Alessandro Bessi , Fabiana Zollo , Michela Del Vicario , Michelangelo Puliga , Antonio Scala , Guido Caldarelli , Brian Uzzi , Walter Quattrociocchi

This paper introduces two large-scale multilingual comment datasets, YT-30M (and YT-100K) from YouTube. The analysis in this paper is performed on a smaller sample (YT-100K) of YT-30M. Both the datasets: YT-30M (full) and YT-100K (randomly…

Social and Information Networks · Computer Science 2024-12-05 Hridoy Sankar Dutta

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

YouTube is by far the largest host of user-generated video content worldwide. Alas, the platform has also come under fire for hosting inappropriate, toxic, and hateful content. One community that has often been linked to sharing and…

The relationship between content production and consumption on algorithm-driven platforms like YouTube plays a critical role in shaping ideological behaviors. While prior work has largely focused on user behavior and algorithmic…

Computation and Language · Computer Science 2026-03-10 Sarmad Chandio , Rishab Nithyanand

Social information networks, such as YouTube, contains traces of both explicit online interaction (such as "like", leaving a comment, or subscribing to video feed), and latent interactions (such as quoting, or remixing parts of a video). We…

Social and Information Networks · Computer Science 2013-05-14 Lexing Xie , Apostol Natsev , Xuming He , John Kender , Matthew Hill , John R Smith

Cross-cutting commenting on social media is often imagined as a path to deliberation, yet exposure to opposing views frequently fuels hostility. To explain this dynamic, we introduce the concept of partisan warriors--commenters who cross…

Social and Information Networks · Computer Science 2026-03-24 Keyeun Lee , Sang Jung Kim

Non-profits, as well as the media, have hypothesized the existence of a radicalization pipeline on YouTube, claiming that users systematically progress towards more extreme content on the platform. Yet, there is to date no substantial…

Computers and Society · Computer Science 2021-10-22 Manoel Horta Ribeiro , Raphael Ottoni , Robert West , Virgílio A. F. Almeida , Wagner Meira

Social media platforms have become a major vector for the large-scale dissemination of misinformation and conspiracy content, posing significant risks to public trust, health, and societal stability. While prior work has primarily focused…

Social and Information Networks · Computer Science 2026-05-29 Thammitage Piyumi Wathsala Seneviratne , Muhammad Ikram , Dinusha Vatsalan , Hassan Asghar , Mohamed Ali Kaafar

Suspicious behavior is likely to threaten security, assets, life, or freedom. This behavior has no particular pattern, which complicates the tasks to detect it and define it. Even for human observers, it is complex to spot suspicious…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Guillermo A. Martínez-Mascorro , José C. Ortiz-Bayliss , Hugo Terashima-Marín

Violent threats remain a significant problem across social media platforms. Useful, high-quality data facilitates research into the understanding and detection of malicious content, including violence. In this paper, we introduce a…

This technical report discusses three metrics of user engagement with online media. They are Commenting frequency, Voting frequency, and Voting balance. These relative figures can be derived from established, basic statistics available for…

Human-Computer Interaction · Computer Science 2014-04-11 Lassi A Liikkanen

YouTube plays an ever more important role as a political medium. Yet, the implications are to-date not well understood and difficult to analyse, since access to YouTube's statistics is limited. To address this gap, we surveyed 124 people…

Computers and Society · Computer Science 2020-12-15 Yury Kolotaev , Konrad Kollnig

Online video services, messaging systems, games and social media services are tremendously popular among young people and children in many countries. Most of the digital services offered on the internet are advertising funded, which makes…

Computers and Society · Computer Science 2017-07-05 Camila Souza Araujo , Gabriel Magno , Wagner Meira , Virgilio Almeida , Pedro Hartung , Danilo Doneda

Faced with the challenge of attracting user attention and revenue, social media websites have turned to video advertisements (video-ads). While in traditional media the video-ad market is mostly based on an interaction between content…

Social and Information Networks · Computer Science 2016-04-28 Mariana Arantes , Flavio Figueiredo , Jussara M. Almeida

Inappropriate and profane content on social media is exponentially increasing and big corporations are becoming more aware of the type of content on which they are advertising and how it may affect their brand reputation. But with a huge…

Machine Learning · Computer Science 2019-11-20 Vishal Anand , Ravi Shukla , Ashwani Gupta , Abhishek Kumar

Vlogs provide a rich public source of data in a novel setting. This paper examined the continuous sentiment styles employed in 27,333 vlogs using a dynamic intra-textual approach to sentiment analysis. Using unsupervised clustering, we…

Computation and Language · Computer Science 2018-08-30 Bennett Kleinberg , Maximilian Mozes , Isabelle van der Vegt

Coordinated campaigns are used to influence and manipulate social media platforms and their users, a critical challenge to the free exchange of information online. Here we introduce a general, unsupervised network-based methodology to…

Social and Information Networks · Computer Science 2021-04-09 Diogo Pacheco , Pik-Mai Hui , Christopher Torres-Lugo , Bao Tran Truong , Alessandro Flammini , Filippo Menczer