Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

T Mahmud, M Ptaszynski, J Eronen, F Masui - Information Processing & …, 2023 - Elsevier
The struggle of social media platforms to moderate content in a timely manner, encourages
users to abuse such platforms to spread vulgar or abusive language, which, when …

Analyzing machine learning enabled fake news detection techniques for diversified datasets

S Mishra, P Shukla, R Agarwal - Wireless Communications and …, 2022 - Wiley Online Library
Fake news, or fabric which appeared to be untrue with point of deceiving the open, has
developed in ubiquity in current a long time. Spreading this kind of data undermines societal …

[HTML][HTML] A robust hybrid machine learning model for Bengali cyber bullying detection in social media

A Akhter, UK Acharjee, MA Talukder, MM Islam… - Natural Language …, 2023 - Elsevier
Social networking platforms give users countless opportunities to share information,
collaborate, and communicate positively. The same platform can be extended to a fabricated …

Hope speech detection in YouTube comments

BR Chakravarthi - Social Network Analysis and Mining, 2022 - Springer
Recent work on language technology has tried to recognize abusive language such as
those containing hate speech and cyberbullying and enhance offensive language …

Automatic vulgar word extraction method with application to vulgar remark detection in chittagonian dialect of bangla

T Mahmud, M Ptaszynski, F Masui - Applied Sciences, 2023 - mdpi.com
The proliferation of the internet, especially on social media platforms, has amplified the
prevalence of cyberbullying and harassment. Addressing this issue involves harnessing …

A review on deep-learning-based cyberbullying detection

MT Hasan, MAE Hossain, MSH Mukta, A Akter… - Future Internet, 2023 - mdpi.com
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …

Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe

L Abualigah, YY Al-Ajlouni, MS Daoud, M Altalhi… - Social Network Analysis …, 2024 - Springer
In the world of technology, the electronic and technical development of the fields of
communication and the internet has increased, which has caused a renaissance in the …

From data to discovery: recent trends of machine learning in metal–organic frameworks

J Park, H Kim, Y Kang, Y Lim, J Kim - JACS Au, 2024 - ACS Publications
Renowned for their high porosity and structural diversity, metal–organic frameworks (MOFs)
are a promising class of materials for a wide range of applications. In recent decades, with …

[PDF][PDF] Cyberbullying-related hate speech detection using shallow-to-deep learning

D Sultan, A Toktarova, A Zhumadillayeva… - … Materials & Continua, 2023 - cdn.techscience.cn
Communication in society had developed within cultural and geographical boundaries prior
to the invention of digital technology. The latest advancements in communication technology …

Natural language processing and sentiment analysis on bangla social media comments on russia–ukraine war using transformers

M Hasan, L Islam, I Jahan, SM Meem… - Vietnam Journal of …, 2023 - World Scientific
The Bangla Language ranks seventh in the list of most spoken languages with 265 native
and non-native speakers around the world and the second Indo-Aryan language after Hindi …