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Society is often polarized by controversial issues, that split the population into groups of opposing views. When such issues emerge on social media, we often observe the creation of 'echo chambers', i.e., situations where like-minded…

Social and Information Networks · Computer Science 2018-05-25 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

Accompanied by the development of digital media, the threat of information cocoon has become a significant issue. However, little is known about the measure of information cocoon as a cultural space and its relationship with social class.…

Computers and Society · Computer Science 2020-10-28 Huimin Xu , Zhicong Chen , Ruiqi Li , Cheng-Jun Wang

A central role in shaping the experience of users online is played by recommendation algorithms. On the one hand they help retrieving content that best suits users taste, but on the other hand they may give rise to the so called "filter…

Physics and Society · Physics 2023-11-08 Alessandro Bellina , Claudio Castellano , Paul Pineau , Giulio Iannelli , Giordano De Marzo

The current public sense of anxiety in dealing with disinformation as manifested by so-called fake news is acutely displayed by the reaction to recent events prompted by a belief in conspiracies among certain groups. A model to deal with…

Echo chambers, i.e. clusters of users exposed to news and opinions in line with their previous beliefs, were observed in many online debates on social platforms. We propose a completely unbiased entropy-based method for detecting echo…

Social and Information Networks · Computer Science 2024-05-30 Manuel Pratelli , Fabio Saracco , Marinella Petrocchi

Are online networking services complicit in facilitating social change for the worse? In two empirically informed simulation studies, we give a proof-of-concept that the speed of networking and the amplification of network actors'…

Physics and Society · Physics 2018-10-02 Christian Steglich

Conversational recommender systems have demonstrated great success. They can accurately capture a user's current detailed preference -- through a multi-round interaction cycle -- to effectively guide users to a more personalized…

Information Retrieval · Computer Science 2022-08-23 Allen Lin , Ziwei Zhu , Jianling Wang , James Caverlee

The ability to accurately predict cyber-attacks would enable organizations to mitigate their growing threat and avert the financial losses and disruptions they cause. But how predictable are cyber-attacks? Researchers have attempted to…

Cryptography and Security · Computer Science 2020-04-10 Nazgol Tavabi , Andrés Abeliuk , Negar Mokhberian , Jeremy Abramson , Kristina Lerman

Fragmentation, echo chambers, and their amelioration in social networks have been a growing concern in the academic and non-academic world. This paper shows how, under the assumption of homophily, echo chambers and fragmentation are…

Social and Information Networks · Computer Science 2023-01-05 Chris Blex , Taha Yasseri

The dynamics of opinion formation in a society is a complex phenomenon where many variables play an important role. Recently, the influence of algorithms to filter which content is fed to social networks users has come under scrutiny.…

Recommender systems are widely applied in digital platforms such as news websites to personalize services based on user preferences. In news websites most of users are anonymous and the only available data is sequences of items in anonymous…

Information Retrieval · Computer Science 2021-12-20 Alireza Gharahighehi , Celine Vens

Recommender systems shape online interactions by matching users with creators content to maximize engagement. Creators, in turn, adapt their content to align with users preferences and enhance their popularity. At the same time, users…

Information Retrieval · Computer Science 2026-01-07 Lukas Schüepp , Carmen Amo Alonso , Florian Dörfler , Giulia De Pasquale

Social media continues to have an impact on the trajectory of humanity. However, its introduction has also weaponized keyboards, allowing the abusive language normally reserved for in-person bullying to jump onto the screen, i.e.,…

Machine Learning · Computer Science 2024-09-20 Muhammad Arslan , Manuel Sandoval Madrigal , Mohammed Abuhamad , Deborah L. Hall , Yasin N. Silva

Recommendation systems are widely used in web services, such as social networks and e-commerce platforms, to serve personalized content to the users and, thus, enhance their experience. While personalization assists users in navigating…

Social and Information Networks · Computer Science 2023-12-08 Nicolas Lanzetti , Florian Dörfler , Nicolò Pagan

When collaborating with multiple parties, communicating relevant information is of utmost importance to efficiently completing the tasks at hand. Under active inference, communication can be cast as sharing beliefs between free-energy…

Artificial Intelligence · Computer Science 2024-07-03 Ozan Catal , Toon Van de Maele , Riddhi J. Pitliya , Mahault Albarracin , Candice Pattisapu , Tim Verbelen

People who are involved with political campaigns face increased digital security threats from well-funded, sophisticated attackers, especially nation-states. Improving political campaign security is a vital part of protecting democracy. To…

Computers and Society · Computer Science 2021-06-02 Sunny Consolvo , Patrick Gage Kelley , Tara Matthews , Kurt Thomas , Lee Dunn , Elie Bursztein

Social media platforms are online fora where users engage in discussions, share content, and build connections. This review explores the dynamics of social interactions, user-generated contents, and biases within the context of social media…

Social and Information Networks · Computer Science 2024-03-22 Virginia Morini , Valentina Pansanella , Katherine Abramski , Erica Cau , Andrea Failla , Salvatore Citraro , Giulio Rossetti

The prevalence of online hate and abuse is a pressing global concern. While tackling such societal harms is a priority for research across the social sciences, it is a difficult task, in part because of the magnitude of the problem. User…

Computers and Society · Computer Science 2025-10-08 Florence E. Enock , Helen Z. Margetts , Jonathan Bright

Large-scale social networks are thought to contribute to polarization by amplifying people's biases. However, the complexity of these technologies makes it difficult to identify the mechanisms responsible and to evaluate mitigation…

Social and Information Networks · Computer Science 2022-10-07 Mathew D. Hardy , Bill D. Thompson , P. M. Krafft , Thomas L. Griffiths

In recent years, the ease with which social media can be accessed has led to the unexpected problem of a shrinkage in information sources. This phenomenon is caused by a system that facilitates the connection of people with similar ideas…

Social and Information Networks · Computer Science 2020-11-17 Naoki Hirakura , Masaki Aida , Konosuke Kawashima