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Detection of offensive language in social media is one of the key challenges for social media. Researchers have proposed many advanced methods to accomplish this task. In this report, we try to use the learnings from their approach and…

计算与语言 · 计算机科学 2022-09-29 Nikhil Chilwant , Syed Taqi Abbas Rizvi , Hassan Soliman

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

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…

Online social platforms are beset with hateful speech - content that expresses hatred for a person or group of people. Such content can frighten, intimidate, or silence platform users, and some of it can inspire other users to commit…

计算与语言 · 计算机科学 2017-10-02 Haji Mohammad Saleem , Kelly P Dillon , Susan Benesch , Derek Ruths

The exponential increase in the use of the Internet and social media over the last two decades has changed human interaction. This has led to many positive outcomes, but at the same time it has brought risks and harms. While the volume of…

计算与语言 · 计算机科学 2020-12-23 Neeraj Vashistha , Arkaitz Zubiaga , Shanky Sharma

Hate speech represents a pervasive and detrimental form of online discourse, often manifested through an array of slurs, from hateful tweets to defamatory posts. As such speech proliferates, it connects people globally and poses significant…

计算与语言 · 计算机科学 2025-05-06 Paloma Piot , Patricia Martín-Rodilla , Javier Parapar

The spread of hate speech on social media space is currently a serious issue. The undemanding access to the enormous amount of information being generated on these platforms has led people to post and react with toxic content that…

计算与语言 · 计算机科学 2022-09-13 Abhishek Velankar , Hrushikesh Patil , Raviraj Joshi

The propagation of offensive content through social media channels has garnered attention of the research community. Multiple works have proposed various semantically related yet subtle distinct categories of offensive speech. In this work,…

计算与语言 · 计算机科学 2024-02-06 Huy Nghiem , Umang Gupta , Fred Morstatter

The success of social media platforms has facilitated the emergence of various forms of online abuse within digital communities. This abuse manifests in multiple ways, including hate speech, cyberbullying, emotional abuse, grooming, and…

计算与语言 · 计算机科学 2025-07-03 Jose A. Diaz-Garcia , Joao Paulo Carvalho

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

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

Social media is an essential gateway of information and communication for people worldwide. The amount of time spent and reliance of people on social media makes it a vital resource for detecting events happening in real life. Thousands of…

社会与信息网络 · 计算机科学 2022-04-05 M. Luqman Jamil , Sebastião Pais , João Cordeiro

Hate speech is harmful content that directly attacks or promotes hatred against members of groups or individuals based on actual or perceived aspects of identity, such as racism, religion, or sexual orientation. This can affect social life…

计算与语言 · 计算机科学 2024-03-19 Arijit Das , Somashree Nandy , Rupam Saha , Srijan Das , Diganta Saha

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

In recent years social media has become an increasingly popular tool for communication. People use it to share their ideas, exchange information, and discuss thoughts. Given its prevalence and widespread reach, social media must remain a…

计算与语言 · 计算机科学 2026-05-22 Pranshu Rastogi , Madhav Mathur , Ramaneswaran S , Kshitij Mohan

The rapid growth in user generated content on social media has resulted in a significant rise in demand for automated content moderation. Various methods and frameworks have been proposed for the tasks of hate speech detection and toxic…

计算与语言 · 计算机科学 2024-09-27 Elizaveta Korotkova , Isaac Chung

The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audio content, but typically in isolation. Yet, harmful content…

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
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