A Survey on Online Aggression: Content Detection and Behavioural Analysis on Social Media Platforms

S Mane, S Kundu, R Sharma - ACM Computing Surveys, 2023 - dl.acm.org
The proliferation of social media has increased cyber-aggressive behavior behind the
freedom of speech, posing societal risks from online anonymity to real-world consequences …

Hate speech recognition in multilingual text: hinglish documents

AK Yadav, M Kumar, A Kumar, Shivani, Kusum… - International Journal of …, 2023 - Springer
The Internet is a boon for mankind but its misuse has been increasing drastically. Social
networking platforms such as Facebook, Twitter and Instagram play a predominant role in …

A survey of hate speech detection in Indian languages

A Nandi, K Sarkar, A Mallick, A De - Social Network Analysis and Mining, 2024 - Springer
With the enormous increase in accessibility of high-speed internet, the number of social
media users is increasing rapidly. Due to a lack of proper regulations and ethics, social …

Social media text analytics of Malayalam–English code-mixed using deep learning

S Thara, P Poornachandran - Journal of big Data, 2022 - Springer
Zigzag conversational patterns of contents in social media are often perceived as noisy or
informal text. Unrestricted usage of vocabulary in social media communications complicates …

Fighting hate speech from bilingual hinglish speaker's perspective, a transformer-and translation-based approach.

S Biradar, S Saumya, A Chauhan - Social Network Analysis and Mining, 2022 - Springer
Many people have begun to use social media platforms due to the increased use of the
Internet over the previous decade. It has a lot of benefits, but it also comes with a lot of risks …

Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore

J Haber, B Vidgen, M Chapman… - Proceedings of the …, 2023 - aclanthology.org
Toxic content is a global problem, but most resources for detecting toxic content are in
English. When datasets are created in other languages, they often focus exclusively on one …

Peace: Cross-platform hate speech detection-a causality-guided framework

P Sheth, T Kumarage, R Moraffah, A Chadha… - … European Conference on …, 2023 - Springer
Hate speech detection refers to the task of detecting hateful content that aims at denigrating
an individual or a group based on their religion, gender, sexual orientation, or other …

FACapsnet: A fusion capsule network with congruent attention for cyberbullying detection

F Wu, B Gao, X Pan, Z Su, Y Ji, S Liu, Z Liu - Neurocomputing, 2023 - Elsevier
As an extension of bullying on social networks, cyberbullying has seriously affected the
security of the online social environment and infringed on mental health. Taking appropriate …

A deep learning-based framework for offensive text detection in unstructured data for heterogeneous social media

J Bacha, F Ullah, J Khan, AW Sardar, S Lee - IEEE Access, 2023 - ieeexplore.ieee.org
Social media such as Facebook, Instagram, and Twitter are powerful and essential platforms
where people express and share their ideas, knowledge, talents, and abilities with others …

Detecting offensive language based on graph attention networks and fusion features

Z Miao, X Chen, H Wang, R Tang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The pervasiveness of offensive language on social networks has caused adverse effects on
society, such as abusive behavior online. It is urgent to detect offensive language and curb …