Data bootstrapping approaches to improve low resource abusive language detection for indic languages

M Das, S Banerjee, A Mukherjee - … of the 33rd ACM conference on …, 2022 - dl.acm.org
Abusive language is a growing concern in many social media platforms. Repeated exposure
to abusive speech has created physiological effects on the target users. Thus, the problem of …

Leveraging transformers for hate speech detection in conversational code-mixed tweets

ZM Farooqi, S Ghosh, RR Shah - arXiv preprint arXiv:2112.09986, 2021 - arxiv.org
In the current era of the internet, where social media platforms are easily accessible for
everyone, people often have to deal with threats, identity attacks, hate, and bullying due to …

Free speech or free hate speech? analyzing the proliferation of hate speech in parler

A Israeli, O Tsur - Proceedings of the Sixth Workshop on Online …, 2022 - aclanthology.org
Social platforms such as Gab and Parler, branded as 'free-speech'networks, have seen a
significant growth of their user base in recent years. This popularity is mainly attributed to the …

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 …

hate-alert@ dravidianlangtech: Multimodal abusive language detection and sentiment analysis in dravidian languages

S Barman, M Das - Proceedings of the Third Workshop on Speech …, 2023 - aclanthology.org
The use of abusive language on social media platforms is a prevalent issue that requires
effective detection. Researchers actively engage in abusive language detection and …

The Manifestation of Affective Polarization on Social Media: A Cross-Platform Supervised Machine Learning Approach

CSB Overgaard, J Lukito, K Soorholtz - Proceedings of the International …, 2024 - ojs.aaai.org
This project explores how affective polarization, hostility towards people's political
adversaries, manifests on social media. Whereas prior attempts have relied on sentiment …

" Dummy Grandpa, do you know anything?": Identifying and Characterizing Ad hominem Fallacy Usage in the Wild

U Patel, A Mukherjee, M Mondal - … AAAI Conference on Web and Social …, 2023 - ojs.aaai.org
Today, participating in discussions on online forums is extremely commonplace and these
discussions have started rendering a strong influence on the overall opinion of online users …

Classification of different participating entities in the rise of hateful content in social media

M Das - Proceedings of the Sixteenth ACM International …, 2023 - dl.acm.org
Hateful content is a growing concern across different platforms, whether it is a moderated
platform or an unmoderated platform. The public expression of hate speech encourages the …

Hate-alert@ DravidianLangTech-ACL2022: Ensembling multi-modalities for Tamil TrollMeme classification

M Das, S Banerjee, A Mukherjee - arXiv preprint arXiv:2204.12587, 2022 - arxiv.org
Social media platforms often act as breeding grounds for various forms of trolling or
malicious content targeting users or communities. One way of trolling users is by creating …

ConOffense: Multi-modal multitask Contrastive learning for offensive content identification

D Shome, T Kar - 2021 IEEE International Conference on Big …, 2021 - ieeexplore.ieee.org
Hateful or offensive content has been increasingly common on social media platforms in
recent years, and the problem is now widespread. There is a pressing need for effective …