2022/01/28 by Abhishek Dhankar, Dhankar, Abhishek, Osmar R. Zaïane +3
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimedia (cs.MM) #cs.AI #cs.CL #cs.MM
paper · pdf · doi:10.48550/arxiv.2203.07990
arxiv created 2022/01/28 · arxiv updated 2022/03/16
Identifying fake news is a very difficult task, especially when considering the multiple modes of conveying information through text, image, video and/or audio. We attempted to tackle the problem of automated misinformation/disinformation detection in multi-modal news sources (including text and images) through our simple, yet effective, approach in the FACTIFY shared task at De-Factify@AAAI2022. Our model produced an F1-weighted score of 74.807%, which was the fourth best out of all the submissions. In this paper we will explain our approach to undertake the shared task.