Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
Published in EACL’22 (Main), 2023
Recommended citation: Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, and Tanmoy Chakraborty. 2023. Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2149–2163, Dubrovnik, Croatia. Association for Computational Linguistics. https://aclanthology.org/2023.eacl-main.157
The paper discusses the importance of understanding the intent and potential harm associated with viral memes. It focuses on identifying the roles of entities within memes, such as 'hero,' 'villain,' or 'victim.' The study introduces a multi-modal framework called VECTOR for this task, which outperforms standard models. The research also highlights challenges in semantically labeling roles within memes and provides comparative analyses.
Recommended citation: Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, and Tanmoy Chakraborty. 2023. Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2149–2163, Dubrovnik, Croatia. Association for Computational Linguistics.