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相关论文: Modeling offensive content detection for TikTok

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The widespread use of social media necessitates reliable and efficient detection of offensive content to mitigate harmful effects. Although sophisticated models perform well on individual datasets, they often fail to generalize due to…

计算与语言 · 计算机科学 2024-10-08 Huy Nghiem , Hal Daumé

Online toxic content has grown into a pervasive phenomenon, intensifying during times of crisis, elections, and social unrest. A significant amount of research has been focused on detecting or analyzing toxic content using machine-learning…

计算与语言 · 计算机科学 2025-09-19 Gautam Kishore Shahi , Tim A. Majchrzak

The ability to accurately detect and filter offensive content automatically is important to ensure a rich and diverse digital discourse. Trolling is a type of hurtful or offensive content that is prevalent in social media, but is…

计算机与社会 · 计算机科学 2020-08-04 Hitkul , Karmanya Aggarwal , Pakhi Bamdev , Debanjan Mahata , Rajiv Ratn Shah , Ponnurangam Kumaraguru

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

With the proliferation of social media, there has been a sharp increase in offensive content, particularly targeting vulnerable groups, exacerbating social problems such as hatred, racism, and sexism. Detecting offensive language use is…

计算与语言 · 计算机科学 2023-12-05 Toygar Tanyel , Besher Alkurdi , Serkan Ayvaz

Opaque algorithms disseminate and mediate the content that users consume on online social media platforms. This algorithmic mediation serves users with contents of their liking, on the other hand, it may cause several inadvertent risks to…

社会与信息网络 · 计算机科学 2025-01-28 Cai Yang , Sepehr Mousavi , Abhisek Dash , Krishna P. Gummadi , Ingmar Weber

As offensive content has become pervasive in social media, there has been much research in identifying potentially offensive messages. However, previous work on this topic did not consider the problem as a whole, but rather focused on…

计算与语言 · 计算机科学 2019-04-17 Marcos Zampieri , Shervin Malmasi , Preslav Nakov , Sara Rosenthal , Noura Farra , Ritesh Kumar

Aggressive comments on social media negatively impact human life. Such offensive contents are responsible for depression and suicidal-related activities. Since online social networking is increasing day by day, the hate content is also…

计算机视觉与模式识别 · 计算机科学 2023-03-15 Mst Shapna Akter , Hossain Shahriar , Nova Ahmed , Alfredo Cuzzocrea

Now-a-days, derogatory comments are often made by one another, not only in offline environment but also immensely in online environments like social networking websites and online communities. So, an Identification combined with Prevention…

计算与语言 · 计算机科学 2019-03-19 Navoneel Chakrabarty

Offensive language is pervasive in social media. Individuals frequently take advantage of the perceived anonymity of computer-mediated communication, using this to engage in behavior that many of them would not consider in real life. The…

计算与语言 · 计算机科学 2021-04-13 Nikhil Oswal

The phenomenal growth on the internet has helped in empowering individual's expressions, but the misuse of freedom of expression has also led to the increase of various cyber crimes and anti-social activities. Hate speech is one such issue…

计算与语言 · 计算机科学 2020-06-01 Prashant Kapil , Asif Ekbal , Dipankar Das

The presence of offensive language on social media platforms and the implications this poses is becoming a major concern in modern society. Given the enormous amount of content created every day, automatic methods are required to detect and…

计算与语言 · 计算机科学 2023-03-24 Gudbjartur Ingi Sigurbergsson , Leon Derczynski

Despite the extensive communication benefits offered by social media platforms, numerous challenges must be addressed to ensure user safety. One of the most significant risks faced by users on these platforms is targeted hate speech. Social…

计算与语言 · 计算机科学 2024-07-18 Sadar Jaf , Basel Barakat

On social media platforms, hateful and offensive language negatively impact the mental well-being of users and the participation of people from diverse backgrounds. Automatic methods to detect offensive language have largely relied on…

计算与语言 · 计算机科学 2022-01-26 Rishav Hada , Sohi Sudhir , Pushkar Mishra , Helen Yannakoudakis , Saif M. Mohammad , Ekaterina Shutova

The widespread use of text-based communication on social media-through chats, comments, and microblogs-has improved user interaction but has also led to an increase in offensive content, including hate speech, racism, and other forms of…

计算与语言 · 计算机科学 2025-06-30 Reem Alothman , Hafida Benhidour , Said Kerrache

Since state-of-the-art approaches to offensive language detection rely on supervised learning, it is crucial to quickly adapt them to the continuously evolving scenario of social media. While several approaches have been proposed to tackle…

计算与语言 · 计算机科学 2022-10-17 Elisa Leonardelli , Stefano Menini , Alessio Palmero Aprosio , Marco Guerini , Sara Tonelli

The problem of online offensive language limits the health and security of online users. It is essential to apply the latest state-of-the-art techniques in developing a system to detect online offensive language and to ensure social justice…

计算与语言 · 计算机科学 2022-03-08 Fatemah Husain , Ozlem Uzuner

The widespread presence of hateful languages on social media has resulted in adverse effects on societal well-being. As a result, addressing this issue with high priority has become very important. Hate speech or offensive languages exist…

Offensive behaviour has become pervasive in the Internet community. Individuals take the advantage of anonymity in the cyber world and indulge in offensive communications which they may not consider in the real life. Governments, online…

计算与语言 · 计算机科学 2020-01-10 Vyshnav M T , Sachin Kumar S , Soman K P

The proliferation of hate speech and offensive comments on social media has become increasingly prevalent due to user activities. Such comments can have detrimental effects on individuals' psychological well-being and social behavior. While…

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