@inproceedings{bhattacharyya-etal-2025-lexilogic,
title = "{L}exi{L}ogic@{D}ravidian{L}ang{T}ech 2025: Detecting Fake News in {M}alayalam and {AI}-Generated Product Reviews in {T}amil and {M}alayalam",
author = "Bhattacharyya, Souvik and
Gupta, Pranav and
M, Niranjan Kumar and
Roy, Billodal",
editor = "Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Madasamy, Anand Kumar and
Thavareesan, Sajeetha and
Sherly, Elizabeth and
Rajiakodi, Saranya and
Palani, Balasubramanian and
Subramanian, Malliga and
Cn, Subalalitha and
Chinnappa, Dhivya",
booktitle = "Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages",
month = may,
year = "2025",
address = "Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.dravidianlangtech-1.79/",
doi = "10.18653/v1/2025.dravidianlangtech-1.79",
pages = "448--453",
ISBN = "979-8-89176-228-2",
abstract = "Fake news and hard-to-detect AI-generated content are pressing issues in online media, which are expected to exacerbate due to the recent advances in generative AI. Moreover, tools to keep such content under check are less accurate for languages with less available online data. In this paper, we describe our submissions to two shared tasks at the NAACL Dravidian Language Tech workshop, namely detecting fake news in Malayalam and detecting AI-generated product reviews in Malayalam and Tamil. We obtained test macro F1 scores of 0.29 and 0.82 in the multi-class and binary classification sub-tasks within the Malayalam fake news task, and test macro F1 scores of 0.9 and 0.646 in the task of detecting AI-generated product reviews in Malayalam and Tamil respectively."
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%0 Conference Proceedings
%T LexiLogic@DravidianLangTech 2025: Detecting Fake News in Malayalam and AI-Generated Product Reviews in Tamil and Malayalam
%A Bhattacharyya, Souvik
%A Gupta, Pranav
%A M, Niranjan Kumar
%A Roy, Billodal
%Y Chakravarthi, Bharathi Raja
%Y Priyadharshini, Ruba
%Y Madasamy, Anand Kumar
%Y Thavareesan, Sajeetha
%Y Sherly, Elizabeth
%Y Rajiakodi, Saranya
%Y Palani, Balasubramanian
%Y Subramanian, Malliga
%Y Cn, Subalalitha
%Y Chinnappa, Dhivya
%S Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
%D 2025
%8 May
%I Association for Computational Linguistics
%C Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico
%@ 979-8-89176-228-2
%F bhattacharyya-etal-2025-lexilogic
%X Fake news and hard-to-detect AI-generated content are pressing issues in online media, which are expected to exacerbate due to the recent advances in generative AI. Moreover, tools to keep such content under check are less accurate for languages with less available online data. In this paper, we describe our submissions to two shared tasks at the NAACL Dravidian Language Tech workshop, namely detecting fake news in Malayalam and detecting AI-generated product reviews in Malayalam and Tamil. We obtained test macro F1 scores of 0.29 and 0.82 in the multi-class and binary classification sub-tasks within the Malayalam fake news task, and test macro F1 scores of 0.9 and 0.646 in the task of detecting AI-generated product reviews in Malayalam and Tamil respectively.
%R 10.18653/v1/2025.dravidianlangtech-1.79
%U https://aclanthology.org/2025.dravidianlangtech-1.79/
%U https://doi.org/10.18653/v1/2025.dravidianlangtech-1.79
%P 448-453
Markdown (Informal)
[LexiLogic@DravidianLangTech 2025: Detecting Fake News in Malayalam and AI-Generated Product Reviews in Tamil and Malayalam](https://aclanthology.org/2025.dravidianlangtech-1.79/) (Bhattacharyya et al., DravidianLangTech 2025)
ACL
- Souvik Bhattacharyya, Pranav Gupta, Niranjan Kumar M, and Billodal Roy. 2025. LexiLogic@DravidianLangTech 2025: Detecting Fake News in Malayalam and AI-Generated Product Reviews in Tamil and Malayalam. In Proceedings of the Fifth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, pages 448–453, Acoma, The Albuquerque Convention Center, Albuquerque, New Mexico. Association for Computational Linguistics.