15 papers · ranked by Valyu relevance
Wenjie Yin, Arkaitz Zubiaga, Yilun Shang
Hate speech is one type of harmful online content which directly attacks or promotes hate towards a group or an individual member based on their actual or perceived aspects of identity, such as ethnicity, religion, and sexual orientation. With online hate speech on the rise, its automatic detection as a natural…
Patricia Chiril, Endang Wahyu Pamungkas, Farah Benamara, Véronique Moriceau + 1 more
'Véronique Moriceau' 'Viviana Patti'] Hate Speech and harassment are widespread in online communication, due to users' freedom and anonymity and the lack of regulation provided by social media platforms. Hate speech is topically focused (misogyny, sexism, racism, xenophobia, homophobia, etc.), and each specific…
Salla-Maaria Laaksonen, Jesse Haapoja, Teemu Kinnunen, Matti Nelimarkka + 1 more
Hate speech has been identified as a pressing problem in society and several automated approaches have been designed to detect and prevent it. This paper reports and reflects upon an action research setting consisting of multi-organizational collaboration conducted during Finnish municipal elections in 2017, wherein a…
Tomer Wullach, Amir Adler, Einat Minkov
—Hate speech detection is a critical problem in social media platforms, being often accused for enabling the spread of hatred and igniting physical violence. Hate speech detection requires overwhelming resources including high-performance computing for online posts and tweets monitoring as well as thousands of human…
Fernando H. Calderón, Namrita Balani, Jherez Taylor, Melvyn Peignon + 6 more
The permanent transition to online activity has brought with it a surge in hate speech discourse. This has prompted increased calls for automatic detection methods, most of which currently rely on a dictionary of hate speech words, and supervised classification. This approach often falls short when dealing with newer…
Sara Parker, Derek Ruths
The machine learning (ML) research community has landed on automated hate speech detection as the vital tool in the mitigation of bad behavior online. However, it is not clear that this is a widely supported view outside of the ML world. Such a disconnect can have implications for whether automated detection tools are…
Yiwen Xu, Qinyang Hou, Hongyu Wan, Mirjana Prpa
in Social Virtual Reality Authors: Yiwen Xu, Qinyang Hou, Hongyu Wan, Mirjana Prpa Title: Safe Guard: an LLM-agent for Real-time Voice-based Hate Speech Detection in Social Virtual Reality Authors: Yiwen Xu, Qinyang Hou, Hongyu Wan, Mirjana Prpa Content: # 4.3.3 Approach #3: Few-Shot Learning Prompting Besides the…
Daman Deep Singh, Bhattacharjee, Ramanuj, Abhijnan Chakraborty
Hate speech detection across contemporary social media presents unique challenges due to linguistic diversity and the informal nature of online discourse. These challenges are further amplified in settings involving code-mixing, transliteration, and culturally nuanced expressions. While fine-tuned transformer models…
Muhammad Bilal, Atif Khan, Salman Jan, Shahrulniza Musa + 3 more
Social media applications, such as Twitter and Facebook, allow users to communicate and share their thoughts, status updates, opinions, photographs, and videos around the globe. Unfortunately, some people utilize these platforms to disseminate hate speech and abusive language. The growth of hate speech may result in…
Guanyi Mou, Pengyi Ye, Kyumin Lee
Hate speech detection on online social networks has become one of the emerging hot topics in recent years. With the broad spread and fast propagation speed across online social networks, hate speech makes significant impacts on society by increasing prejudice and hurting people. Therefore, there are aroused attention…
Jitendra Singh Malik, Guansong Pang, Anton van den Hengel
Automated hate speech detection is an important tool in combating the spread of hate speech, particularly in social media. Numerous methods have been developed for the task, including a recent proliferation of deep-learning based approaches. A variety of datasets have also been developed, exemplifying various…
D. C Asogwa, C. I Chukwuneke, C. C Ngene, Gloria Nkiru Anigbogu
The spread of hatred that was formerly limited to verbal communications has rapidly moved over the Internet. Social media and community forums that allow people to discuss and express their opinions are becoming platforms for the spreading of hate messages. Many countries have developed laws to avoid online hate…
António Fonseca, Catarina Pontes, Sérgio Moro, Fernando Batista + 5 more
'Ricardo Ribeiro' 'Rita Guerra' 'Paula Carvalho' 'Catarina Marques' 'Cláudia Silva'] This paper investigates the pervasive issue of hate speech within Twitter/X Portuguese network conversations, offering a multifaceted analysis of its characteristics. This study utilizes a mixed-method approach, combining several…
Teodor Tiţa, Arkaitz Zubiaga
—Hate speech detection within a cross-lingual setting represents a paramount area of interest for all medium and large-scale online platforms. Failing to properly address this issue on a global scale has already led over time to morally questionable real-life events, human deaths, and the perpetuation of hate itself.…
Imane Guellil, Ahsan Adeel, Faiçal Azouaou, Mohamed Boubred + 2 more
'Yousra Houichi' 'Akram Abdelhaq Moumna'] Abstract In this paper, an approach for hate speech detection against women in Arabic community on social media (e.g. Youtube) is proposed. In the literature, similar works have been presented for other languages such as English. However, to the best of our knowledge, not much…