English
Related papers

Related papers: Structure and Context of Retweet Coordination in t…

200 papers

Current network-based methods for detecting coordinated inauthentic behaviour on social media focus primarily on inferring links between accounts based on common "behavioural traces" [19], such as retweeting the same tweet or posting the…

Social and Information Networks · Computer Science 2022-08-15 Derek Weber , Lucia Falzon

During the 2016 US elections Twitter experienced unprecedented levels of propaganda and fake news through the collaboration of bots and hired persons, the ramifications of which are still being debated. This work proposes an approach to…

Social and Information Networks · Computer Science 2017-11-30 Erdem Beğenilmiş , Suzan Üsküdarlı

Estimating the political leanings of social media users is a challenging and ever more pressing problem given the increase in social media consumption. We introduce Retweet-BERT, a simple and scalable model to estimate the political…

Social and Information Networks · Computer Science 2023-04-10 Julie Jiang , Xiang Ren , Emilio Ferrara

Following the 2016 US presidential election, there has been an increased focus on politically-motivated manipulation of mass-user behavior on social media platforms. Since a large volume of political discussion occurs on these platforms,…

Social and Information Networks · Computer Science 2020-08-10 Hunter Scott Heidenreich , Munif Ishad Mujib , Jake Ryland Williams

Coordinated information operations remain a persistent challenge on social media, despite platform efforts to curb them. While previous research has primarily focused on identifying these operations within individual platforms, this study…

Social and Information Networks · Computer Science 2025-04-25 Federico Cinus , Marco Minici , Luca Luceri , Emilio Ferrara

In social network Twitter, users can interact with each other and spread information via retweets. These millions of interactions may result in media events whose influence goes beyond Twitter framework. In this paper, we thoroughly explore…

Social and Information Networks · Computer Science 2019-06-07 Audrey Wilmet , Robin Lamarche-Perrin

Large-scale manipulations on social media have two important characteristics: (i) use of propaganda to influence others, and (ii) adoption of coordinated behavior to spread it and to amplify its impact. Despite the connection between them,…

Social and Information Networks · Computer Science 2022-05-24 Kristina Hristakieva , Stefano Cresci , Giovanni Da San Martino , Mauro Conti , Preslav Nakov

The study of coordinated manipulation of conversations on social media has become more prevalent as social media's role in amplifying misinformation, hate, and polarization has come under scrutiny. We discuss the implications of successful…

Social and Information Networks · Computer Science 2021-06-08 Thomas Magelinski , Lynnette Hui Xian Ng , Kathleen M. Carley

We present an analysis of the dynamics of discussions in Twitter (before it became X) among supporters of various candidates in the 2022 French presidential election, and followers of different types of media. Our study demonstrates that we…

Social and Information Networks · Computer Science 2025-03-10 Rémi Perrier , Laura Hernández , J. Ignacio Alvarez-Hamelin , Mariano G. Beiró Dimitris Kotzinos

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

We examine partisan differences in the behavior, communication patterns and social interactions of more than 18,000 politically-active Twitter users to produce evidence that points to changing levels of partisan engagement with the American…

Social and Information Networks · Computer Science 2012-06-20 Michael D. Conover , Bruno Gonçalves , Alessandro Flammini , Filippo Menczer

Transmitting messages in the most efficient way as possible has always been one of politicians main concerns during electoral processes. Due to the rapidly growing number of users, online social networks have become ideal platforms for…

Physics and Society · Physics 2013-09-20 J. Borondo , A. J. Morales , J. C. Losada , R. M. Benito

This note describes code and experiments related to a Twitter dataset on the Danish National Election 2022, available at Harvard Dataverse (doi.org/10.7910/DVN/RWPZUN). We cluster Twitter users into bins of users that showed exactly the…

Social and Information Networks · Computer Science 2023-05-16 Laura Jahn , Rasmus K. Rendsvig

Coordinated online behaviors are an essential part of information and influence operations, as they allow a more effective disinformation's spread. Most studies on coordinated behaviors involved manual investigations, and the few existing…

Social and Information Networks · Computer Science 2021-04-02 Leonardo Nizzoli , Serena Tardelli , Marco Avvenuti , Stefano Cresci , Maurizio Tesconi

Twitter as a new form of social media potentially contains useful information that opens new opportunities for content analysis on tweets. This paper examines the predictive power of Twitter regarding the US presidential election of 2012.…

Social and Information Networks · Computer Science 2014-07-03 Kazem Jahanbakhsh , Yumi Moon

We explore the effects of coordinated users (i.e., users characterized by an unexpected, suspicious, or exceptional similarity) in information spreading on Twitter by quantifying the efficacy of their tactics in deceiving feed algorithms to…

Social and Information Networks · Computer Science 2025-09-09 Matteo Cinelli , Stefano Cresci , Walter Quattrociocchi , Maurizio Tesconi , Paola Zola

Nowadays, many platforms on the Web offer organized events, allowing users to be organizers or participants. For such platforms, it is beneficial to predict potential event participants. Existing work on this problem tends to borrow…

Machine Learning · Computer Science 2023-10-03 Yihong Zhang , Takahiro Hara

Social media platforms shape users' experiences through the algorithmic systems they deploy. In this study, we examine to what extent Twitter's content recommender, in conjunction with a user's social network, impacts the topic, political…

Social and Information Networks · Computer Science 2025-09-15 Kayla Duskin , Joseph S. Schafer , Alexandros Efstratiou , Jevin D. West , Emma S. Spiro

Online manipulation is a pressing concern for democracies, but the actions and strategies of coordinated inauthentic accounts, which have been used to interfere in elections, are not well understood. We analyze a five million-tweet…

Social and Information Networks · Computer Science 2023-06-01 Keith Burghardt , Ashwin Rao , Siyi Guo , Zihao He , Georgios Chochlakis , Baruah Sabyasachee , Andrew Rojecki , Shri Narayanan , Kristina Lerman

COVID-19 has affected the world economy and the daily life routine of almost everyone. It has been a hot topic on social media platforms such as Twitter, Facebook, etc. These social media platforms enable users to share information with…

Social and Information Networks · Computer Science 2021-06-15 Pervaiz Iqbal Khan , Imran Razzak , Andreas Dengel , Sheraz Ahmed
‹ Prev 1 2 3 10 Next ›