@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://preview.aclanthology.org/fix-sig-urls/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."
}