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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

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

Algorithms are widely applied to detect hate speech and abusive language in social media. We investigated whether the human-annotated data used to train these algorithms are biased. We utilized a publicly available annotated Twitter dataset…

计算与语言 · 计算机科学 2020-05-29 Jae Yeon Kim , Carlos Ortiz , Sarah Nam , Sarah Santiago , Vivek Datta

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 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

Cyberbullying is of extreme prevalence today. Online-hate comments, toxicity, cyberbullying amongst children and other vulnerable groups are only growing over online classes, and increased access to social platforms, especially post…

计算与语言 · 计算机科学 2021-07-20 Bhumika Bhatia , Anuj Verma , Anjum , Rahul Katarya

Technologies for abusive language detection are being developed and applied with little consideration of their potential biases. We examine racial bias in five different sets of Twitter data annotated for hate speech and abusive language.…

计算与语言 · 计算机科学 2019-05-30 Thomas Davidson , Debasmita Bhattacharya , Ingmar Weber

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 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

Online harassment is a global problem. This article examines perceptions of harm and preferences for remedies associated with online harassment with nearly 4000 participants in 14 countries around the world. The countries in this work…

The pervasiveness of abusive content on the internet can lead to severe psychological and physical harm. Significant effort in Natural Language Processing (NLP) research has been devoted to addressing this problem through abusive content…

计算与语言 · 计算机科学 2021-07-23 Svetlana Kiritchenko , Isar Nejadgholi , Kathleen C. Fraser

Cyberbullying is a widespread adverse phenomenon among online social interactions in today's digital society. While numerous computational studies focus on enhancing the cyberbullying detection performance of machine learning algorithms,…

计算与语言 · 计算机科学 2021-02-23 Oguzhan Gencoglu

Since the advent of online social media platforms such as Twitter and Facebook, useful health-related studies have been conducted using the information posted by online participants. Personal health-related issues such as mental health,…

计算与语言 · 计算机科学 2021-04-02 Muhammad Abubakar Alhassan , Isa Inuwa-Dutse , Bello Shehu Bello , Diane Pennington

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

Online hate messaging is a pervasive issue plaguing the well-being of social media users. This research empirically investigates a novel theory positing that online hate may be driven primarily by the pursuit of social approval rather than…

社会与信息网络 · 计算机科学 2024-03-01 Julie Jiang , Luca Luceri , Joseph B. Walther , Emilio Ferrara

The societal issue of digital hostility has previously attracted a lot of attention. The topic counts an ample body of literature, yet remains prominent and challenging as ever due to its subjective nature. We posit that a better…

计算与语言 · 计算机科学 2021-09-17 Antigoni-Maria Founta , Lucia Specia

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…

人机交互 · 计算机科学 2024-09-10 Shagun Jhaver

Social media and the internet have become an integral part of how people spread and consume information. Over a period of time, social media evolved dramatically, and almost half of the population is using social media to express their…

计算与语言 · 计算机科学 2021-08-03 Anjum , Rahul Katarya

Social media has enabled users and organizations to obtain information about technology usage like software usage and even security feature usage. However, on the dark side it has also allowed an adversary to potentially exploit the users…

社会与信息网络 · 计算机科学 2019-09-09 Soumajyoti Sarkar , Paulo Shakarian , Mika Armenta , Danielle Sanchez , Kiran Lakkaraju

The proliferation of harmful content on online platforms is a major societal problem, which comes in many different forms including hate speech, offensive language, bullying and harassment, misinformation, spam, violence, graphic content,…