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Social media have great potential for enabling public discourse on important societal issues. However, adverse effects, such as polarization and echo chambers, greatly impact the benefits of social media and call for algorithms that…

Social and Information Networks · Computer Science 2023-08-29 Federico Cinus , Aristides Gionis , Francesco Bonchi

We study the impact of personalized content recommendations on the usage of an educational app for children. In a randomized controlled trial, we show that the introduction of personalized recommendations increases the consumption of…

General Economics · Economics 2022-12-06 Keshav Agrawal , Susan Athey , Ayush Kanodia , Emil Palikot

The physical environment you navigate strongly determines which communities and people matter most to individuals. These effects drive both personal access to opportunities and the social capital of communities, and can often be observed in…

Computers and Society · Computer Science 2023-09-22 Tobin South , Nick Lothian , Alex "Sandy" Pentland

Scholar Inbox is a new open-access platform designed to address the challenges researchers face in staying current with the rapidly expanding volume of scientific literature. We provide personalized recommendations, continuous updates from…

Understanding and predicting user behavior on social media platforms is crucial for content recommendation and platform design. While existing approaches focus primarily on common actions like retweeting and liking, the prediction of rare…

Computation and Language · Computer Science 2025-11-24 Benjamin White , Anastasia Shimorina

Online political discourse is increasingly shaped not by a few dominant platforms but by a fragmented ecosystem of social media spaces, each with its own user base, target audience, and algorithmic mediation of discussion. Such…

Social and Information Networks · Computer Science 2025-06-05 Ali Salloum , Dorian Quelle , Letizia Iannucci , Alexandre Bovet , Mikko Kivelä

Online news platforms commonly employ personalized news recommendation methods to assist users in discovering interesting articles, and many previous works have utilized language model techniques to capture user interests and understand…

Information Retrieval · Computer Science 2023-06-21 Xinyi Li , Yongfeng Zhang , Edward C. Malthouse

Personalization plays an important role in many services, just as news does. Many studies have examined news personalization algorithms, but few have considered practical environments. This paper provides algorithms and system architecture…

Information Retrieval · Computer Science 2019-09-04 Takeshi Yoneda , Shunsuke Kozawa , Keisuke Osone , Yukinori Koide , Yosuke Abe , Yoshifumi Seki

Bluesky is a Twitter-like decentralized social media platform that has recently grown in popularity. After an invite-only period, it opened to the public worldwide on February 6th, 2024. In this paper, we provide a longitudinal analysis of…

Social and Information Networks · Computer Science 2024-08-07 Erfan Samieyan Sahneh , Gianluca Nogara , Matthew R. DeVerna , Nick Liu , Luca Luceri , Filippo Menczer , Francesco Pierri , Silvia Giordano

This study examines the shift in the scientific community from X (formerly Twitter) to Bluesky, its impact on scientific communication, and consequently on social metrics (altmetrics). Analyzing 10,174 publications from multidisciplinary…

Digital Libraries · Computer Science 2025-07-02 Wenceslao Arroyo-Machado , Nicolas Robinson-Garcia , Daniel Torres-Salinas

The emergence of decentralized social media platforms presents new opportunities and challenges for real-time analysis of public discourse. This study introduces CognitiveSky, an open-source and scalable framework designed for sentiment,…

Computation and Language · Computer Science 2026-05-07 Gaurab Chhetri , Anandi Dutta , Subasish Das

Bluesky is a decentralized, Twitter-like social media platform that has rapidly gained popularity. Following an invite-only phase, it officially opened to the public on February 6th, 2024, leading to a significant expansion of its user…

Social and Information Networks · Computer Science 2025-05-06 Gianluca Nogara , Erfan Samieyan Sahneh , Matthew R. DeVerna , Nick Liu , Luca Luceri , Filippo Menczer , Francesco Pierri , Silvia Giordano

Many conversational user interfaces facilitate linear conversations with turn-based dialogue, similar to face-to-face conversations between people. However, digital conversations can afford more than simple back-and-forth; they can be…

Personalized news recommendation is an important technique to help users find their interested news information and alleviate their information overload. It has been extensively studied over decades and has achieved notable success in…

Information Retrieval · Computer Science 2022-02-25 Chuhan Wu , Fangzhao Wu , Yongfeng Huang , Xing Xie

Personalization stands as the cornerstone of recommender systems (RecSys), striving to sift out redundant information and offer tailor-made services for users. However, the conventional cloud-based RecSys necessitates centralized data…

Information Retrieval · Computer Science 2024-12-12 Jing Jiang , Chunxu Zhang , Honglei Zhang , Zhiwei Li , Yidong Li , Bo Yang

This study investigates the rapid growth and evolving network structure of Bluesky from August 2023 to February 2025. Through multiple waves of user migrations, the platform has reached a stable, persistently active user base. The growth…

Social and Information Networks · Computer Science 2025-04-18 Ozgur Can Seckin , Filipi Nascimento Silva , Bao Tran Truong , Sangyeon Kim , Fan Huang , Nick Liu , Alessandro Flammini , Filippo Menczer

Social media platforms newsfeeds are generated by AI algorithms, which select and order posts based on user data. However, users are often unaware of what data is collected and employed for this aim, neither can they control it. To open up…

Human-Computer Interaction · Computer Science 2023-02-21 Jules Sinsel , Anniek Jansen , Sara Colombo

A huge number of academic papers are coming out from a lot of conferences and journals these days. In these circumstances, most researchers rely on key-based search or browsing through proceedings of top conferences and journals to find…

Information Retrieval · Computer Science 2013-04-22 Joonseok Lee , Kisung Lee , Jennifer G. Kim

Research publications are the primary vehicle for sharing scientific progress in the form of new discoveries, methods, techniques, and insights. Unfortunately, the lack of a large-scale, comprehensive, and easy-to-use resource capturing the…

Artificial Intelligence · Computer Science 2023-05-22 Kian Ahrabian , Xinwei Du , Richard Delwin Myloth , Arun Baalaaji Sankar Ananthan , Jay Pujara

News recommendation is one of the most challenging tasks in recommender systems, mainly due to the ephemeral relevance of news to users. As social media, and particularly microblogging applications like Twitter or Weibo, gains popularity as…

Information Retrieval · Computer Science 2022-10-06 Yuting Feng , Bogdan Cautis