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The moderation of content in many social media systems, such as Twitter and Facebook, motivated the emergence of a new social network system that promotes free speech, named Gab. Soon after that, Gab has been removed from Google Play Store…

Social and Information Networks · Computer Science 2018-07-11 Lucas Lima , Julio C. S. Reis , Philipe Melo , Fabricio Murai , Leandro Araújo , Pantelis Vikatos , Fabrício Benevenuto

Online social networks are the perfect test bed to better understand large-scale human behavior in interacting contexts. Although they are broadly used and studied, little is known about how their terms of service and posting rules affect…

Physics and Society · Physics 2020-09-28 Oriol Artime , Valeria d'Andrea , Riccardo Gallotti , Pier Luigi Sacco , Manlio De Domenico

Users online tend to consume information adhering to their system of beliefs and to ignore dissenting information. During the COVID-19 pandemic, users get exposed to a massive amount of information about a new topic having a high level of…

Social and Information Networks · Computer Science 2021-06-09 Gabriele Etta , Matteo Cinelli , Alessandro Galeazzi , Carlo Michele Valensise , Mauro Conti , Walter Quattrociocchi

With the ongoing debate on 'freedom of speech' vs. 'hate speech' there is an urgent need to carefully understand the consequences of the inevitable culmination of the two, i.e., 'freedom of hate speech' over time. An ideal scenario to…

Social and Information Networks · Computer Science 2020-08-04 Binny Mathew , Anurag Illendula , Punyajoy Saha , Soumya Sarkar , Pawan Goyal , Animesh Mukherjee

Recently, social media platforms are heavily moderated to prevent the spread of online hate speech, which is usually fertile in toxic words and is directed toward an individual or a community. Owing to such heavy moderation, newer and more…

Social and Information Networks · Computer Science 2023-03-21 Punyajoy Saha , Kiran Garimella , Narla Komal Kalyan , Saurabh Kumar Pandey , Pauras Mangesh Meher , Binny Mathew , Animesh Mukherjee

Most of the information operations involve users who may foster polarization and distrust toward science and mainstream journalism, without these users being conscious of their role. Gab is well known to be an extremist-friendly platform…

Social and Information Networks · Computer Science 2021-07-20 Gabriele Etta , Alessandro Galeazzi , Matteo Cinelli , Mauro Conti , Walter Quattrociocchi

In the digital age, hate speech poses a threat to the functioning of social media platforms as spaces for public discourse. Top-down approaches to moderate hate speech encounter difficulties due to conflicts with freedom of expression and…

Computers and Society · Computer Science 2025-11-24 Jana Lasser , Alina Herderich , Joshua Garland , Segun Taofeek Aroyehun , David Garcia , Mirta Galesic

The ubiquity of social media has transformed online interactions among individuals. Despite positive effects, it has also allowed anti-social elements to unite in alternative social media environments (eg. Gab.com) like never before.…

Social and Information Networks · Computer Science 2020-07-28 Michael Ridenhour , Arunkumar Bagavathi , Elaheh Raisi , Siddharth Krishnan

Social media has become an important venue for diverse groups to share information, discuss political issues, and organize social movements. Recent scholarship has shown that the social media ecosystem can affect political thinking and…

Social and Information Networks · Computer Science 2020-07-21 Nga Than , Maria Y. Rodriguez , Diane Yoong , Friederike Windel

Social platforms such as Gab and Parler, branded as `free-speech' networks, have seen a significant growth of their user base in recent years. This popularity is mainly attributed to the stricter moderation enforced by mainstream platforms…

Social and Information Networks · Computer Science 2022-01-31 Abraham Israeli , Oren Tsur

Hate speech is regarded as one of the crucial issues plaguing the online social media. The current literature on hate speech detection leverages primarily the textual content to find hateful posts and subsequently identify hateful users.…

Social and Information Networks · Computer Science 2021-08-03 Mithun Das , Punyajoy Saha , Ritam Dutt , Pawan Goyal , Animesh Mukherjee , Binny Mathew

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

The online hate speech is proliferating with several organization and countries implementing laws to ban such harmful speech. While these restrictions might reduce the amount of such hateful content, it does so by restricting freedom of…

Social and Information Networks · Computer Science 2018-12-07 Binny Mathew , Navish Kumar , Ravina , Pawan Goyal , Animesh Mukherjee

The context-dependent nature of online aggression makes annotating large collections of data extremely difficult. Previously studied datasets in abusive language detection have been insufficient in size to efficiently train deep learning…

Computation and Language · Computer Science 2018-08-31 Younghun Lee , Seunghyun Yoon , Kyomin Jung

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

The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of abusive and offensive language on the Internet. Previous research suggests that such hateful content tends to come from…

Computation and Language · Computer Science 2019-02-19 Pushkar Mishra , Marco Del Tredici , Helen Yannakoudakis , Ekaterina Shutova

Harmful content detection models tend to have higher false positive rates for content from marginalized groups. In the context of marginal abuse modeling on Twitter, such disproportionate penalization poses the risk of reduced visibility,…

Computation and Language · Computer Science 2022-10-13 Kyra Yee , Alice Schoenauer Sebag , Olivia Redfield , Emily Sheng , Matthias Eck , Luca Belli

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

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…

While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we deepen our understanding of online hate speech by focusing…

Computation and Language · Computer Science 2018-04-13 Mai ElSherief , Vivek Kulkarni , Dana Nguyen , William Yang Wang , Elizabeth Belding
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