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Social media platforms attempting to curb abuse and misinformation have been accused of political bias. We deploy neutral social bots who start following different news sources on Twitter, and track them to probe distinct biases emerging…

Social and Information Networks · Computer Science 2021-09-27 Wen Chen , Diogo Pacheco , Kai-Cheng Yang , Filippo Menczer

The problem of detecting bots, automated social media accounts governed by software but disguising as human users, has strong implications. For example, bots have been used to sway political elections by distorting online discourse, to…

Artificial Intelligence · Computer Science 2018-09-27 Sneha Kudugunta , Emilio Ferrara

With the ever-increasing spread of misinformation on online social networks, it has become very important to identify the spreaders of misinformation (unintentional), disinformation (intentional), and misinformation refutation. It can help…

Social and Information Networks · Computer Science 2023-05-02 Euna Mehnaz Khan , Ayush Ram , Bhavtosh Rath , Emily Vraga , Jaideep Srivastava

Social networks are the major routes for most individuals to exchange their opinions about new products, social trends and political issues via their interactions. It is often of significant importance to figure out who initially diffuses…

Social and Information Networks · Computer Science 2020-10-27 Jaeyoung Choi , Sangwoo Moon , Jiin Woo , Kyunghwan Son , Jinwoo Shin , Yung Yi

Digital media enables not only fast sharing of information, but also disinformation. One prominent case of an event leading to circulation of disinformation on social media is the MH17 plane crash. Studies analysing the spread of…

Computation and Language · Computer Science 2019-10-04 Mareike Hartmann , Yevgeniy Golovchenko , Isabelle Augenstein

The world's digital information ecosystem continues to struggle with the spread of misinformation. Prior work has suggested that users who consistently disseminate a disproportionate amount of low-credibility content -- so-called…

Social and Information Networks · Computer Science 2024-02-01 Matthew R. DeVerna , Rachith Aiyappa , Diogo Pacheco , John Bryden , Filippo Menczer

In this study, we examine the role of Twitter as a first line of defense against misinformation by tracking the public engagement with, and the platforms response to, 500 tweets concerning the RussoUkrainian conflict which were identified…

Social and Information Networks · Computer Science 2025-02-27 Gautam Kishore Shahi , Yelena Mejova

Society's reliance on social media as a primary source of news has spawned a renewed focus on the spread of misinformation. In this work, we identify the differences in how social media accounts identified as bots react to news sources of…

Social and Information Networks · Computer Science 2018-07-17 Maria Glenski , Tim Weninger , Svitlana Volkova

Conspiracy theories can threaten society by spreading misinformation, deepening polarization, and eroding trust in democratic institutions. Social media often fuels the spread of conspiracies, primarily driven by two key actors:…

Social and Information Networks · Computer Science 2026-02-05 Florian Kramer , Henrich R. Greve , Moritz von Zahn , Hayagreeva Rao

Twitter is one of the most popular social networks attracting millions of users, while a considerable proportion of online discourse is captured. It provides a simple usage framework with short messages and an efficient application…

Social and Information Networks · Computer Science 2023-05-29 Alexander Shevtsov , Christos Tzagkarakis , Despoina Antonakaki , Sotiris Ioannidis

The conflict in Ukraine has been not only characterised by military engagement but also by a significant information war, with social media platforms like X, formerly known as Twitter playing an important role in shaping public perception.…

Computation and Language · Computer Science 2025-06-06 Zaur Gouliev

The dynamics and influence of fake news on Twitter during the 2016 US presidential election remains to be clarified. Here, we use a dataset of 171 million tweets in the five months preceding the election day to identify 30 million tweets,…

Social and Information Networks · Computer Science 2019-03-21 Alexandre Bovet , Hernan A. Makse

An important aspect of preventing fake news dissemination is to proactively detect the likelihood of its spreading. Research in the domain of fake news spreader detection has not been explored much from a network analysis perspective. In…

Social and Information Networks · Computer Science 2020-11-24 Bhavtosh Rath , Aadesh Salecha , Jaideep Srivastava

We tackle the problem of classifying news articles pertaining to disinformation vs mainstream news by solely inspecting their diffusion mechanisms on Twitter. Our technique is inherently simple compared to existing text-based approaches, as…

Social and Information Networks · Computer Science 2020-11-13 Francesco Pierri , Carlo Piccardi , Stefano Ceri

Social media platforms like Twitter, Facebook, and Instagram have facilitated the spread of misinformation, necessitating automated detection systems. This systematic review evaluates 36 studies that apply machine learning (ML) and deep…

Machine Learning · Computer Science 2025-06-24 Yunchong Liu , Xiaorui Shen , Yeyubei Zhang , Zhongyan Wang , Yexin Tian , Jianglai Dai , Yuchen Cao

Artificial intelligence (AI)-powered recommender systems play a crucial role in determining the content that users are exposed to on social media platforms. However, the behavioural patterns of these systems are often opaque, complicating…

Social and Information Networks · Computer Science 2023-09-20 Giulio Corsi

Twitter, a popular social media outlet, has evolved into a vast source of linguistic data, rich with opinion, sentiment, and discussion. Due to the increasing popularity of Twitter, its perceived potential for exerting social influence has…

The move of propaganda and disinformation to the online environment is possible thanks to the fact that within the last decade, digital information channels radically increased in popularity as a news source. The main advantage of such…

Computation and Language · Computer Science 2021-08-27 Aleš Horák , Vít Baisa , Ondřej Herman

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

Social and Information Networks · Computer Science 2019-02-20 Rakshit Agrawal , Luca de Alfaro , Gabriele Ballarin , Stefano Moret , Massimo Di Pierro , Eugenio Tacchini , Marco L. Della Vedova

Recommendation algorithms have been pointed out as one of the major culprits of misinformation spreading in the digital sphere. However, it is still unclear how these algorithms really propagate misinformation, e.g., it has not been shown…

Social and Information Networks · Computer Science 2021-03-30 Miriam Fernández , Alejandro Bellogín , Iván Cantador