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Social media platforms often foster environments where users primarily engage with content that aligns with their existing beliefs, thereby reinforcing their views and limiting exposure to opposing viewpoints. In this paper, we analyze X…

Social and Information Networks · Computer Science 2025-08-25 Blas Kolic , Fabián Aguirre-López , Sergio Hernández-Williams , Guillermo Garduño-Hernández

We investigate the impact of free speech and the relaxation of moderation on online social media platforms using Elon Musk's takeover of Twitter as a case study. By curating a dataset of over 10 million tweets, our study employs a novel…

Social and Information Networks · Computer Science 2025-03-13 Arvindh Arun , Saurav Chhatani , Jisun An , Ponnurangam Kumaraguru

With the rise of voice chat rooms, a gigantic resource of data can be exposed to the research community for natural language processing tasks. Moderators in voice chat rooms actively monitor the discussions and remove the participants with…

Machine Learning · Computer Science 2021-07-13 Hadi Mansourifar , Dana Alsagheer , Reza Fathi , Weidong Shi , Lan Ni , Yan Huang

Social media platforms increasingly employ proactive moderation techniques, such as detecting and curbing toxic and uncivil comments, to prevent the spread of harmful content. Despite these efforts, such approaches are often criticized for…

Human-Computer Interaction · Computer Science 2025-07-30 Xiaotian Su , Naim Zierau , Soomin Kim , April Yi Wang , Thiemo Wambsganss

Homophily -- our tendency to surround ourselves with others who share our perspectives and opinions about the world -- is both a part of human nature and an organizing principle underpinning many of our digital social networks. However,…

Computers and Society · Computer Science 2021-10-13 Nabeel Gillani , Ann Yuan , Martin Saveski , Soroush Vosoughi , Deb Roy

Understanding and mitigating political bias in online social media platforms are crucial tasks to combat misinformation and echo chamber effects. However, characterizing political bias temporally using computational methods presents…

Social and Information Networks · Computer Science 2023-09-20 Srinath Sai Tripuraneni , Sadia Kamal , Arunkumar Bagavathi

Robust content moderation requires classification systems that can quickly adapt to evolving policies without costly retraining. We present classification using Retrieval-Augmented Generation (RAG), which shifts traditional classification…

Computation and Language · Computer Science 2025-08-11 Richard Willats , Josh Pennington , Aravind Mohan , Bertie Vidgen

A growing body of evidence points to critical vulnerabilities of social media, such as the emergence of partisan echo chambers and the viral spread of misinformation. We show that these vulnerabilities are amplified by abusive behaviors…

Social and Information Networks · Computer Science 2021-10-27 Christopher Torres-Lugo , Kai-Cheng Yang , Filippo Menczer

The emergence of the COVID-19 pandemic resulted in a significant rise in the spread of misinformation on online platforms such as Twitter. Oftentimes this growth is blamed on the idea of the "echo chamber." However, the behavior said to…

Social and Information Networks · Computer Science 2024-12-13 Caleb Stam , Emily Saldanha , Mahantesh Halappanavar , Anurag Acharya

Ideologically homogeneous online environments - often described as "echo chambers" or "filter bubbles" - are widely seen as drivers of polarization, radicalization, and misinformation. A central debate asks whether such homophily stems…

Social and Information Networks · Computer Science 2025-08-15 Petter Törnberg

Echo chambers in online social networks, in which users prefer to interact only with ideologically-aligned peers, are believed to facilitate misinformation spreading and contribute to radicalize political discourse. In this paper, we gauge…

Physics and Society · Physics 2019-12-11 Wesley Cota , Silvio C. Ferreira , Romualdo Pastor-Satorras , Michele Starnini

In a pre-registered algorithmic audit, we found that, relative to a reverse-chronological baseline, Twitter's engagement-based ranking algorithm amplifies emotionally charged, out-group hostile content that users say makes them feel worse…

Social and Information Networks · Computer Science 2024-12-10 Smitha Milli , Micah Carroll , Yike Wang , Sashrika Pandey , Sebastian Zhao , Anca D. Dragan

Social media systems allow Internet users a congenial platform to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges.…

Social and Information Networks · Computer Science 2016-03-25 Leandro Silva , Mainack Mondal , Denzil Correa , Fabricio Benevenuto , Ingmar Weber

Online hate speech is associated with substantial social harms, yet it remains unclear how consistently platforms enforce hate speech policies or whether enforcement is feasible at scale. We address these questions through a global audit of…

Nowadays, artificial intelligence algorithms are used for targeted and personalized content distribution in the large scale as part of the intense competition for attention in the digital media environment. Unfortunately, targeted…

Social and Information Networks · Computer Science 2018-12-05 Sina Mohseni , Eric Ragan

In recent years, social media platforms have hosted an explosion of hate speech and objectionable content. The urgent need for effective automatic hate speech detection models have drawn remarkable investment from companies and researchers.…

Computation and Language · Computer Science 2020-10-27 Sayyed M. Zahiri , Ali Ahmadvand

Over the past few years, there is a heated debate and serious public concerns regarding online content moderation, censorship, and the principle of free speech on the Web. To ease these concerns, social media platforms like Twitter and…

Social and Information Networks · Computer Science 2021-04-14 Savvas Zannettou

Since the proliferation of social media usage, hate speech has become a major crisis. Hateful content can spread quickly and create an environment of distress and hostility. Further, what can be considered hateful is contextual and varies…

Social and Information Networks · Computer Science 2022-01-05 Tanmoy Chakraborty , Sarah Masud

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

Social media platforms like Facebook and Reddit host thousands of user-governed online communities. These platforms sanction communities that frequently violate platform policies; however, public perceptions of such sanctions remain…

Human-Computer Interaction · Computer Science 2024-09-10 Shagun Jhaver
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