On explaining multimodal hateful meme detection models
Hateful meme detection is a new multimodal task that has gained significant traction in academic and industry research communities. Recently, researchers have applied pre-trained visual-linguistic models to perform the multimodal classification task, and some of these solutions have yielded promisin...
Saved in:
Main Authors: | HEE, Ming Shan, LEE, Roy Ka-Wei, CHONG, Wen Haw |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8262 https://ink.library.smu.edu.sg/context/sis_research/article/9265/viewcontent/on_explaining.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Disentangling hate in online memes
by: LEE, Ka Wei, Roy, et al.
Published: (2021) -
Multimodal zero-shot hateful meme detection
by: ZHU, Jiawen, et al.
Published: (2022) -
Identifying hate speech trends and prevention in Indonesia: a cross-case comparison
by: Alexandra, Lina A., et al.
Published: (2024) -
Hate speech detection in Vietnamese on social network sites
by: Le, Ngoc Nhung
Published: (2020) -
Pro-Cap: Leveraging a frozen vision-language model for hateful meme detection
by: CAO, Rui, et al.
Published: (2023)