Zobrazeno 1 - 10
of 560
pro vyhledávání: '"Offensive language"'
Autor:
Reese Clews
Publikováno v:
The Young Researcher, Vol 8, Iss 1, Pp 178-191 (2024)
Given the popularity and demonstrated proficiency of ChatGPT in detecting hate speech, it is important to understand the potential influence of its left-libertarian bias in potential tasks. This study examines how ChatGPT’s political bias affects i
Externí odkaz:
https://doaj.org/article/4c5e34f7e09843f7a10d6320d03d9065
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 104-122 (2024)
With the rapid growth of social media culture, the use of offensive or hateful language has surged, which necessitates the development of effective abusive language detection models for online platforms. This paper focuses on developing a multi-class
Externí odkaz:
https://doaj.org/article/8d6af6da5e794df0923aab3586e49b57
Publikováno v:
Journal of Information Security and Cybercrimes Research, Vol 7, Iss 1, Pp 93-107 (2024)
People use social media for both good and distasteful purposes. When used with malicious intent, it raises significant concerns as it involves the use of offensive language and hate speech that promote terrorism and other negative behaviors. To creat
Externí odkaz:
https://doaj.org/article/81998ecdcbb94bc892edb879c4d91392
Autor:
Amit Das, Mostafa Rahgouy, Dongji Feng, Zheng Zhang, Tathagata Bhattacharya, Nilanjana Raychawdhary, Fatemeh Jamshidi, Vinija Jain, Aman Chadha, Mary J. Sandage, Lauramarie Pope, Gerry V. Dozier, Cheryl D. Seals
Publikováno v:
IEEE Access, Vol 12, Pp 185661-185672 (2024)
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 in both exp
Externí odkaz:
https://doaj.org/article/0bbc26f692444ce0a5384da1f3b7262e
Publikováno v:
IEEE Access, Vol 12, Pp 20064-20090 (2024)
Recently, the emergence of social media has opened the way for online harassment in the form of hate speech and offensive language. An automated approach is needed to detect hate and offensive content from social media, which is indispensable. This t
Externí odkaz:
https://doaj.org/article/1f85245548bd4958831f4aeed6ae1e12
Publikováno v:
IEEE Access, Vol 12, Pp 11316-11329 (2024)
The substantial growth in social media users has led to a significant increase in code-mixed content on social media platforms. Millions of users on these platforms upload pictures and videos and post comments regarding their recent or exciting activ
Externí odkaz:
https://doaj.org/article/814ee17f9b904148925f25ed94b0c43c
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11206 (2024)
Offensive content is a complex and multifaceted form of harmful material that targets individuals or groups. In recent years, offensive language (OL) has become increasingly harmful, as it incites violence and intolerance. The automatic identificatio
Externí odkaz:
https://doaj.org/article/1026dbf9ae234ea38675cf903ddda15b
Autor:
MD. Nahid Hasan, Kazi Shadman Sakib, Taghrid Tahani Preeti, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Jia Uddin
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2123 (2024)
The pervasiveness of offensive language on social media emphasizes the necessity of automated systems for identifying and categorizing content. To ensure a more secure online environment and improve communication, effective identification and categor
Externí odkaz:
https://doaj.org/article/4aa6998f98b944019c2493e90e3879f4
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200376- (2024)
abstract: This research aims to detect different types of Arabic offensive language in twitter. It uses a multiclass classification system in which each tweet is categorized into one or more of the offensive language types based on the used word(s).
Externí odkaz:
https://doaj.org/article/a78d35efa6104da0bd7f0836eccc1cd1
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5777 (2024)
Social media serves as a platform for netizens to stay informed and express their opinions through the Internet. Currently, the social media discourse environment faces a significant security threat—offensive comments. A group of users posts commen
Externí odkaz:
https://doaj.org/article/6fcb4b9136994a66bbf5fc7686a5f16d