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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…

信息检索 · 计算机科学 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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 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…

机器学习 · 计算机科学 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.…

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…

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…

社会与信息网络 · 计算机科学 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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 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.…

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…

计算机与社会 · 计算机科学 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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 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…

社会与信息网络 · 计算机科学 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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 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.…

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