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Approximately 50% of tweets in X's user timelines are personalized recommendations from accounts they do not follow. This raises a critical question: What political content are users exposed to beyond their established networks, and what…

Social and Information Networks · Computer Science 2025-05-15 Jinyi Ye , Luca Luceri , Emilio Ferrara

The spread of propaganda, misinformation, and biased narratives from autocratic regimes, especially on social media, is a growing concern in many democracies. Can censorship be an effective tool to curb the spread of such slanted…

General Economics · Economics 2024-06-06 Marcel Caesmann , Janis Goldzycher , Matteo Grigoletto , Lorenz Gschwent

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

State and geopolitical censorship on Twitter, now X, has been turning into a routine, raising concerns about the boundaries between criminal content and freedom of speech. One such censorship practice, withholding content in a particular…

Social and Information Networks · Computer Science 2025-08-20 Yusuf Mücahit Çetinkaya , Tuğrulcan Elmas

The proliferation of harmful content and misinformation on social networks necessitates content moderation policies to maintain platform health. One such policy is shadow banning, which limits content visibility. The danger of shadow…

Social and Information Networks · Computer Science 2024-02-07 Yen-Shao Chen , Tauhid Zaman

In the hypertrophic and uncharted information world, recommender systems are gatekeepers of knowledge. The evolution of these algorithms is usually an opaque process, but in February 2023, the recommender system of X, formerly Twitter, was…

Physics and Society · Physics 2024-05-02 Pietro Gravino , Ruggiero Donald Lo Sardo , Emanuele Brugnoli

Shadow banning consists for an online social network in limiting the visibility of some of its users, without them being aware of it. Twitter declares that it does not use such a practice, sometimes arguing about the occurrence of "bugs" to…

Social and Information Networks · Computer Science 2021-04-14 Erwan Le Merrer , Benoit Morgan , Gilles Trédan

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

Polarization is a troubling phenomenon that can lead to societal divisions and hurt the democratic process. It is therefore important to develop methods to reduce it. We propose an algorithmic solution to the problem of reducing…

Social and Information Networks · Computer Science 2017-05-19 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

On 24 February 2022, Russia invaded Ukraine, starting what is now known as the Russo-Ukrainian War, initiating an online discourse on social media. Twitter as one of the most popular SNs, with an open and democratic character, enables a…

Social and Information Networks · Computer Science 2023-12-29 Alexander Shevtsov , Despoina Antonakaki , Ioannis Lamprou , Ioannis Kontogiorgakis , Polyvios Pratikakis , Sotiris Ioannidis

Online social media enables mass-level, transparent, and democratized discussion on numerous socio-political issues. Due to such openness, these platforms often endure manipulation and misinformation - leading to negative impacts. To…

Social and Information Networks · Computer Science 2021-01-26 Farhan Asif Chowdhury , Dheeman Saha , Md Rashidul Hasan , Koustuv Saha , Abdullah Mueen

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

The spread of election misinformation and harmful political content conveys misleading narratives and poses a serious threat to democratic integrity. Detecting harmful content at early stages is essential for understanding and potentially…

Human-Computer Interaction · Computer Science 2026-02-24 Qile Wang , Prerana Khatiwada , Carolina Coimbra Vieira , Benjamin E. Bagozzi , Kenneth E. Barner , Matthew Louis Mauriello

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

Information Operations (IOs) pose a significant threat to the integrity of democratic processes, with the potential to influence election-related online discourse. In anticipation of the 2024 U.S. presidential election, we present a study…

Social and Information Networks · Computer Science 2024-10-31 Marco Minici , Luca Luceri , Federico Cinus , Emilio Ferrara

Quantifying how individuals react to social influence is crucial for tackling collective political behavior online. While many studies of opinion in public forums focus on social feedback, they often overlook the potential for human…

Social and Information Networks · Computer Science 2024-12-10 Gabriela Juncosa , Taha Yasseri , Julia Koltai , Gerardo Iniguez

Polarization, declining trust, and wavering support for democratic norms are pressing threats to U.S. democracy. Exposure to verified and quality news may lower individual susceptibility to these threats and make citizens more resilient to…

Social and Information Networks · Computer Science 2024-04-02 Hadi Askari , Anshuman Chhabra , Bernhard Clemm von Hohenberg , Michael Heseltine , Magdalena Wojcieszak

In June 2024, X/Twitter changed likes' visibility from public to private, offering a rare, platform-level opportunity to study how the visibility of engagement signals affects users' behavior. Here, we investigate whether hiding liker…

Social and Information Networks · Computer Science 2026-01-19 Yuwei Chuai , Manoel Horta Ribeiro , Gabriele Lenzini , Nicolas Pröllochs

Extensive recent media focus has been directed towards the dark side of intelligent systems, how algorithms can influence society negatively. Often, transparency is proposed as a solution or step in the right direction. Unfortunately,…

Human-Computer Interaction · Computer Science 2018-12-11 Aaron Springer , Steve Whittaker

The proliferation of harmful content shared online poses a threat to online information integrity and the integrity of discussion across platforms. Despite various moderation interventions adopted by social media platforms, researchers and…

Social and Information Networks · Computer Science 2023-04-07 Valerio La Gatta , Luca Luceri , Francesco Fabbri , Emilio Ferrara
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