HopeEDI: A multilingual hope speech detection dataset for equality, diversity, and inclusion

BR Chakravarthi - Proceedings of the Third Workshop on …, 2020 - aclanthology.org
Over the past few years, systems have been developed to control online content and
eliminate abusive, offensive or hate speech content. However, people in power sometimes …

Multilingual hope speech detection in English and Dravidian languages

BR Chakravarthi - International Journal of Data Science and Analytics, 2022 - Springer
Recent work on language technology has aimed to identify negative language such as hate
speech and cyberbullying as well as improve offensive language detection to mediate social …

Overview of the shared task on hope speech detection for equality, diversity, and inclusion

BR Chakravarthi, V Muralidaran… - Proceedings of the …, 2022 - aclanthology.org
Hope Speech detection is the task of classifying a sentence as hope speech or non-hope
speech given a corpus of sentences. Hope speech is any message or content that is …

IIITT@ LT-EDI-EACL2021-hope speech detection: there is always hope in transformers

K Puranik, A Hande, R Priyadharshini… - arXiv preprint arXiv …, 2021 - arxiv.org
In a world filled with serious challenges like climate change, religious and political conflicts,
global pandemics, terrorism, and racial discrimination, an internet full of hate speech …

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 …

[PDF][PDF] Lidoma at hope2023iberlef: Hope speech detection using lexical features and convolutional neural networks

M Shahiki-Tash, J Armenta-Segura… - Proceedings of the …, 2023 - ceur-ws.org
Hope speech can help to reduce hostile environments and alleviate illnesses and
depression, which makes it important to detect it automatically. In this paper, we present our …

Detecting online hate speech using context aware models

L Gao, R Huang - arXiv preprint arXiv:1710.07395, 2017 - arxiv.org
In the wake of a polarizing election, the cyber world is laden with hate speech. Context
accompanying a hate speech text is useful for identifying hate speech, which however has …

Hate speech on twitter: A pragmatic approach to collect hateful and offensive expressions and perform hate speech detection

H Watanabe, M Bouazizi, T Ohtsuki - IEEE access, 2018 - ieeexplore.ieee.org
With the rapid growth of social networks and microblogging websites, communication
between people from different cultural and psychological backgrounds has become more …

Hate speech detection in the bengali language: A dataset and its baseline evaluation

N Romim, M Ahmed, H Talukder… - … of International Joint …, 2021 - Springer
Social media sites such as YouTube and Facebook have become an integral part of
everyone's life, and in the last few years, hate speech in the social media comment section …

Hate speech detection in hindi-english code-mixed social media text

T Santosh, KVS Aravind - Proceedings of the ACM India joint …, 2019 - dl.acm.org
With the increase in user generated content, particularly on social media networks, the
amount of hate speech is also steadily increasing. So, there is a need to automatically detect …