[HTML][HTML] How can we detect homophobia and transphobia? experiments in a multilingual code-mixed setting for social media governance

BR Chakravarthi, A Hande, R Ponnusamy… - International Journal of …, 2022 - Elsevier
Homophobia or Transphobia can be defined as the hatred, discomfort, or dislike of lesbian,
gay, transgender or bisexual people. Studies have shown that these individuals were more …

Challenges and opportunities of text-based emotion detection: A survey

A Al Maruf, F Khanam, MM Haque, ZM Jiyad… - IEEE …, 2024 - ieeexplore.ieee.org
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …

[HTML][HTML] Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach

CJ Powers, A Devaraj, K Ashqeen, A Dontula… - International Journal of …, 2023 - Elsevier
During natural disasters, emergency communication systems become overloaded, and
people are forced to turn to social media to make requests for help. This study employs …

[HTML][HTML] Identification and classification of transportation disaster tweets using improved bidirectional encoder representations from transformers

R Prasad, AU Udeme, S Misra, H Bisallah - International journal of …, 2023 - Elsevier
Social Media today has become the most relevant and affordable platform to express one's
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …

“HOT” ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media

L Li, L Fan, S Atreja, L Hemphill - ACM Transactions on the Web, 2024 - dl.acm.org
Harmful textual content is pervasive on social media, poisoning online communities and
negatively impacting participation. A common approach to this issue is developing detection …

[HTML][HTML] AugFake-BERT: handling imbalance through augmentation of fake news using BERT to enhance the performance of fake news classification

AJ Keya, MAH Wadud, MF Mridha, M Alatiyyah… - Applied Sciences, 2022 - mdpi.com
Fake news detection techniques are a topic of interest due to the vast abundance of fake
news data accessible via social media. The present fake news detection system performs …

[HTML][HTML] Contextual embeddings based on fine-tuned Urdu-BERT for Urdu threatening content and target identification

MSI Malik, U Cheema, DI Ignatov - … of King Saud University-Computer and …, 2023 - Elsevier
Identification of threatening text on social media platforms is a challenging task. Contrary to
the high-resource languages, the Urdu language has very limited such approaches and the …

[HTML][HTML] How AI can be used for governance of messaging services: A study on spam classification leveraging multi-channel convolutional neural network

G Waja, G Patil, C Mehta, S Patil - International Journal of Information …, 2023 - Elsevier
Over the past decade, there has been a meteoric evolution in Internet Messaging Services
and although these services have become ingrained in our everyday life, SMS service …

BiGRU-ANN based hybrid architecture for intensified classification tasks with explainable AI

S Chakraborty, MBU Talukder, MM Hasan… - International Journal of …, 2023 - Springer
Artificial Intelligence (AI) is increasingly being employed in critical decision-making
processes such as medical diagnosis, credit approval, criminal justice, and many more …

G-bert: an efficient method for identifying hate speech in Bengali texts on social media

AJ Keya, MM Kabir, NJ Shammey, MF Mridha… - IEEE …, 2023 - ieeexplore.ieee.org
The rapid increase in Internet users has increased online concerns such as hate speech,
abusive texts, and harassment. In Bangladesh, hate text in Bengali is frequently used on …