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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.…

With the rise of social media, people can now form relationships and communities easily regardless of location, race, ethnicity, or gender. However, the power of social media simultaneously enables harmful online behavior such as harassment…

社会与信息网络 · 计算机科学 2016-06-28 Elaheh Raisi , Bert Huang

Cyberaggression has been studied in various contexts and online social platforms, and modeled on different data using state-of-the-art machine and deep learning algorithms to enable automatic detection and blocking of this behavior. Users…

社会与信息网络 · 计算机科学 2021-06-28 Chrysoula Terizi , Despoina Chatzakou , Evaggelia Pitoura , Panayiotis Tsaparas , Nicolas Kourtellis

The pervasive use of social media platforms, such as Facebook, Instagram, and X, has significantly amplified our electronic interconnectedness. Moreover, these platforms are now easily accessible from any location at any given time.…

社会与信息网络 · 计算机科学 2024-02-21 Abulkarim Faraj Alqahtani , Mohammad Ilyas

Cyberbullying is a disturbing online misbehaviour with troubling consequences. It appears in different forms, and in most of the social networks, it is in textual format. Automatic detection of such incidents requires intelligent systems.…

计算与语言 · 计算机科学 2018-12-20 Maral Dadvar , Kai Eckert

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

Cyberbullying is a pervasive problem in online communities. To identify cyberbullying cases in large-scale social networks, content moderators depend on machine learning classifiers for automatic cyberbullying detection. However, existing…

社会与信息网络 · 计算机科学 2020-04-07 Caleb Ziems , Ymir Vigfusson , Fred Morstatter

The rise of online aggression on social media is evolving into a major point of concern. Several machine and deep learning approaches have been proposed recently for detecting various types of aggressive behavior. However, social media are…

社会与信息网络 · 计算机科学 2020-11-10 Herodotos Herodotou , Despoina Chatzakou , Nicolas Kourtellis

In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressive and cyberbullying behavior have been manifesting with increased frequency, and in many online social media platforms. In fact, past…

Cyberbullying has been a significant challenge in the digital era world, given the huge number of people, especially adolescents, who use social media platforms to communicate and share information. Some individuals exploit these platforms…

计算机与社会 · 计算机科学 2026-04-07 Adamu Gaston Philipo , Doreen Sebastian Sarwatt , Jianguo Ding , Mahmoud Daneshmand , Huansheng Ning

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 incidents of cyberbullying over images in…

社会与信息网络 · 计算机科学 2015-03-16 Homa Hosseinmardi , Sabrina Arredondo Mattson , Rahat Ibn Rafiq , Richard Han , Qin Lv , Shivakant Mishra

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

Cyberbullying has emerged as an important and growing social problem, wherein people use online social networks and mobile phones to bully victims with offensive text, images, audio and video on a 247 basis. This paper studies negative user…

社会与信息网络 · 计算机科学 2014-08-22 Homa Hosseinmardi , Amir Ghasemianlangroodi , Richard Han , Qin Lv , Shivakant Mishra

Over the past few years, online aggression and abusive behaviors have occurred in many different forms and on a variety of platforms. In extreme cases, these incidents have evolved into hate, discrimination, and bullying, and even…

Cyberbullying, which often has a deeply negative impact on the victim, has grown as a serious issue in Online Social Networks. Recently, researchers have created automated machine learning algorithms to detect Cyberbullying using social and…

社会与信息网络 · 计算机科学 2019-05-10 Vivek Singh , Connor Hofenbitzer

Social media platforms enable instant and ubiquitous connectivity and are essential to social interaction and communication in our technological society. Apart from its advantages, these platforms have given rise to negative behaviors in…

社会与信息网络 · 计算机科学 2025-05-08 Silvia García-Méndez , Francisco De Arriba-Pérez

Hate speech, offensive language, sexism, racism and other types of abusive behavior have become a common phenomenon in many online social media platforms. In recent years, such diverse abusive behaviors have been manifesting with increased…

Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim through a social media session. By investigating cyberbullying perpetrated through social media sessions, recent research has looked into mining…

计算与语言 · 计算机科学 2022-07-22 Peiling Yi , Arkaitz Zubiaga

While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online. Recent studies report that cyberbullying constitutes a growing problem among youngsters.…

Social media continues to have an impact on the trajectory of humanity. However, its introduction has also weaponized keyboards, allowing the abusive language normally reserved for in-person bullying to jump onto the screen, i.e.,…

机器学习 · 计算机科学 2024-09-20 Muhammad Arslan , Manuel Sandoval Madrigal , Mohammed Abuhamad , Deborah L. Hall , Yasin N. Silva
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