Publication Type : Conference Paper
Publisher : Proceedings of 4th Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
Source : (2024) DravidianLangTech 2024 - 4th Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, Proceedings of the Workshop, pp. 71-78.
Url : https://aclanthology.org/2024.dravidianlangtech-1.11/
Campus : Coimbatore
School : School of Artificial Intelligence, School of Artificial Intelligence - Coimbatore
Center : Center for Computational Engineering and Networking
Year : 2024
Abstract : The rise of online social media has revolutionized communication, offering users a convenient way to share information and stay updated on current events. However, this surge in connectivity has also led to the proliferation of misinformation, commonly known as fake news. This misleading content, often disguised as legitimate news, poses a significant challenge as it can distort public perception and erode trust in reliable sources. This shared task consists of two subtasks such as task 1 and task 2. Task 1 aims to classify a given social media text into original or fake. The goal of the FakeDetect-Malayalam task2 is to encourage participants to develop effective models capable of accurately detecting and classifying fake news articles in the Malayalam language into different categories like False, Half True, Mostly False, Partly False, and Mostly True. For this shared task, 33 participants submitted their results.
Cite this Research Publication : Subramanian, M., Chakravarthi, B.R., Shanmugavadivel, K., Pandiyan, S., Kumaresan, P.K., Palani, B., Premjith, B., Vanaja, Mithunajha, S., Devika, K., Hariprasath, S.B., Haripriya, B., Vigneshwar, E., "Overview of the Second Shared Task on Fake News Detection in Dravidian Languages: DravidianLangTech@EACL 2024, (2024) DravidianLangTech 2024 - 4th Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, Proceedings of the Workshop, pp. 71-78.