Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Reza Farahbakhsh"'
Autor:
Khouloud Mnassri, Reza Farahbakhsh, Razieh Chalehchaleh, Praboda Rajapaksha, Amir Reza Jafari, Guanlin Li, Noel Crespi
Publikováno v:
PeerJ Computer Science, Vol 10, p e1934 (2024)
The prevalence of offensive content on online communication and social media platforms is growing more and more common, which makes its detection difficult, especially in multilingual settings. The term “Offensive Language” encompasses a wide ran
Externí odkaz:
https://doaj.org/article/7b4b5d612f754d6ebdbaf4bbceb65af2
Publikováno v:
Sensors, Vol 24, Iss 15, p 5062 (2024)
The Internet of Things (IoT) stands as one of the most transformative technologies of our era, significantly enhancing the living conditions and operational efficiencies across various domains [...]
Externí odkaz:
https://doaj.org/article/1d3ce1318125485cbf45d71934b46651
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0304166 (2024)
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. Different types of abusive content such as offensive language, hate speech, aggression, etc. have become prevalent in social media and many efforts
Externí odkaz:
https://doaj.org/article/3589edfb0ef746d8a088d36c773b7a8e
Publikováno v:
Entropy, Vol 26, Iss 4, p 327 (2024)
Detecting the underlying human values within arguments is essential across various domains, ranging from social sciences to recent computational approaches. Identifying these values remains a significant challenge due to their vast numbers and implic
Externí odkaz:
https://doaj.org/article/d67998491d884d88b170d00fb2d58e90
Publikováno v:
Entropy, Vol 26, Iss 4, p 344 (2024)
Social media platforms have surpassed cultural and linguistic boundaries, thus enabling online communication worldwide. However, the expanded use of various languages has intensified the challenge of online detection of hate speech content. Despite t
Externí odkaz:
https://doaj.org/article/997893359a4248ca9a0c9095fa7ea9fa
Publikováno v:
IEEE Access, Vol 11, Pp 105330-105343 (2023)
Recent years brought an exponential growth of social media which revolutionized freedom of speech but significantly increased the propagation of hate speech and hate-based activities. Therefore, constructive countermeasures are necessary to prevent e
Externí odkaz:
https://doaj.org/article/8a5c25590c84433e962f33dcb86253aa
Publikováno v:
IEEE Access, Vol 10, Pp 14880-14896 (2022)
Automatic detection of abusive online content such as hate speech, offensive language, threats, etc. has become prevalent in social media, with multiple efforts dedicated to detecting this phenomenon in English. However, detecting hatred and abuse in
Externí odkaz:
https://doaj.org/article/e716bd0f41244068a0f0ce3209bc83a9
Publikováno v:
IEEE Access, Vol 9, Pp 154704-154716 (2021)
Clickbait can be a spam or an advert which more often provides a link to commercial website and it can also be a headline to news media website which makes money from page views by providing eye-catchy headlines with deceptive news. This paper focuse
Externí odkaz:
https://doaj.org/article/eed1f7b9e7c04273a87b93e0bbb9c486
Publikováno v:
IEEE Access, Vol 9, Pp 157192-157202 (2021)
The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown policies in most of the major cities around the world, we see a huge incr
Externí odkaz:
https://doaj.org/article/857344505eff4782aacb547f6d6abfd6
Publikováno v:
IEEE Access, Vol 7, Pp 28436-28451 (2019)
A framework to consensus opinion model within a networked social group is put forward. The current research in opinion formation within the groups is largely based on the opinion aggregation of each user of the network. However, the consistency of us
Externí odkaz:
https://doaj.org/article/7f3bae9ba3734767aeca07ef413c6c97