You are here

Multimodal Meme Dataset (MultiOFF): Identifying Offensive Content in Image and Text

Publication Type: 
Refereed Original Article
Abstract: 
A meme is a form of media that spreads an idea or emotion across the internet. As the interaction over the web increased with multimodality, incidents of posting hateful memes and related events like trolling, cyberbullying have increased through memes. Offensive content detection has been extensively explored in single modality such as text or image. However, combining two modalities to identify offensive content is still a developing area.
Digital Object Identifer (DOI): 
000.xx
Publication Status: 
Published
Publication Date: 
12/02/2020
Journal: 
Insight Student Conference 2020
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No
Publication document: