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Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to investigate fundamentally new approaches to understand and automatically detect and predict incidents of cyberbullying in…

Information Retrieval · Computer Science 2015-08-26 Homa Hosseinmardi , Sabrina Arredondo Mattson , Rahat Ibn Rafiq , Richard Han , Qin Lv , Shivakant Mishr

Despite the growing body of research tackling offensive language in social media, this research is predominantly reactive, determining if content already posted in social media is abusive. There is a gap in predictive approaches, which we…

Computation and Language · Computer Science 2025-03-07 Raneem Alharthi , Rajwa Alharthi , Ravi Shekhar , Aiqi Jiang , Arkaitz Zubiaga

This paper investigates the use of machine learning models for the classification of unhealthy online conversations containing one or more forms of subtler abuse, such as hostility, sarcasm, and generalization. We leveraged a public dataset…

Computation and Language · Computer Science 2022-01-28 Shlok Gilda , Mirela Silva , Luiz Giovanini , Daniela Oliveira

The abstract outlines the problem of toxic comments on social media platforms, where individuals use disrespectful, abusive, and unreasonable language that can drive users away from discussions. This behavior is referred to as anti-social…

Machine Learning · Computer Science 2023-04-17 K. Poojitha , A. Sai Charish , M. Arun Kuamr Reddy , S. Ayyasamy

Cyberbullying continues to grow in prevalence and its impact is felt by thousands worldwide. This study seeks a network science perspective on cyberbullying interaction patterns on the popular photo and video-sharing platform, Instagram.…

Social and Information Networks · Computer Science 2025-12-23 Satyaki Sikdar , Manuel Sandoval , Taylor Hales , Chloe Kilroy , Maddie Juarez , Tyler Rosario , Juan J. Rosendo , Deborah L. Hall , Yasin N. Silva

In recent years, bullying and aggression against users on social media have grown significantly, causing serious consequences to victims of all demographics. In particular, cyberbullying affects more than half of young social media users…

One of the main challenges online social systems face is the prevalence of antisocial behavior, such as harassment and personal attacks. In this work, we introduce the task of predicting from the very start of a conversation whether it will…

Computation and Language · Computer Science 2018-05-16 Justine Zhang , Jonathan P. Chang , Cristian Danescu-Niculescu-Mizil , Lucas Dixon , Yiqing Hua , Nithum Thain , Dario Taraborelli

Online toxic attacks, such as harassment, trolling, and hate speech have been linked to an increase in offline violence and negative psychological effects on victims. In this paper, we studied the impact of toxicity on users' online…

Social and Information Networks · Computer Science 2022-10-25 Ana Aleksandric , Sayak Saha Roy , Shirin Nilizadeh

Antisocial behavior (ASB) on social media-including hate speech, harassment, and trolling-poses growing challenges for platform safety and societal wellbeing. While prior work has primarily focused on detecting harmful content after it…

Computation and Language · Computer Science 2025-07-29 Anaïs Ollagnier

Cyberbullying, identified as intended and repeated online bullying behavior, has become increasingly prevalent in the past few decades. Despite the significant progress made thus far, the focus of most existing work on cyberbullying…

Computation and Language · Computer Science 2021-02-12 Suyu Ge , Lu Cheng , Huan Liu

Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting people across all demographics. More than half of young social media users worldwide have been exposed to such prolonged and/or coordinated digital harassment.…

Social and Information Networks · Computer Science 2019-07-23 Despoina Chatzakou , Ilias Leontiadis , Jeremy Blackburn , Emiliano De Cristofaro , Gianluca Stringhini , Athena Vakali , Nicolas Kourtellis

This paper focuses on the task of measuring and forecasting incivility in conversations following replies to hate speech. Identifying replies that steer conversations away from hatred and elicit civil follow-up conversations sheds light…

Computers and Society · Computer Science 2024-12-09 Xinchen Yu , Hayden Arnold , Benjamin Su , Eduardo Blanco

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

In health-related topics, user toxicity in online discussions frequently becomes a source of social conflict or promotion of dangerous, unscientific behaviour; common approaches for battling it include different forms of detection, flagging…

Computation and Language · Computer Science 2025-05-26 Jorge Paz-Ruza , Amparo Alonso-Betanzos , Bertha Guijarro-Berdiñas , Carlos Eiras-Franco

In this work, we present a novel quantification of conflict in online discussion. Unlike previous studies on conflict dynamics, which model conflict as a binary phenomenon, our measure is continuous-valued, which we validate with manually…

Social and Information Networks · Computer Science 2019-09-04 Subhabrata Dutta , Gunkirat Kaur , Shreyans Mongia , Arpan Mukherjee , Diankar Das , Tanmoy Chakraborty

Online social media has become increasingly popular in recent years due to its ease of access and ability to connect with others. One of social media's main draws is its anonymity, allowing users to share their thoughts and opinions without…

Computation and Language · Computer Science 2024-04-12 Vigneshwaran Shankaran , Rajesh Sharma

When reading news articles on social networking services and news sites, readers can view comments marked by other people on these articles. By reading these comments, a reader can understand the public opinion about the news, and it is…

Computation and Language · Computer Science 2022-12-27 Teruki Nakahara , Taketoshi Ushiama

Lack of moderation in online communities enables participants to incur in personal aggression, harassment or cyberbullying, issues that have been accentuated by extremist radicalisation in the contemporary post-truth politics scenario. This…

Computation and Language · Computer Science 2018-01-08 Nestor Rodriguez , Sergio Rojas-Galeano

The rise of social media platforms has led to an increase in cyber-aggressive behavior, encompassing a broad spectrum of hostile behavior, including cyberbullying, online harassment, and the dissemination of offensive and hate speech. These…

Computation and Language · Computer Science 2024-12-31 Swapnil Mane , Suman Kundu , Rajesh Sharma

While extensive popularity of online social media platforms has made information dissemination faster, it has also resulted in widespread online abuse of different types like hate speech, offensive language, sexist and racist opinions, etc.…

Computation and Language · Computer Science 2020-10-09 Mohit Chandra , Ashwin Pathak , Eesha Dutta , Paryul Jain , Manish Gupta , Manish Shrivastava , Ponnurangam Kumaraguru
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