Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/179974
Title: Deciphering the language of internet memes, its use in disinformation and detection via AI
Authors: Naseem, Usman
Hemrajani, Asha
Tan, E-Reng
Keywords: Social Sciences
Issue Date: 2024
Source: Naseem, U., Hemrajani, A. & Tan, E. (2024). Deciphering the language of internet memes, its use in disinformation and detection via AI. RSIS Commentaries, 111-24.
Journal: RSIS Commentaries, 111-24 
Abstract: In the current socio-digital milieu, internet memes, “a unit of cultural transmission”, play an increasing role in online discourse and interactions. Traditionally channels for humour, social commentary, and cultural expression, internet memes also have a dark side to them. They can cause real harm through their capacity to spread negative sentiments, misinformation, disinformation, hate and violence. Detection of memes is hence critical to prevent harmful effects on society, but it poses significant challenges. Some projects focusing on the detection and classification of memes via the use of AI are discussed.
URI: https://hdl.handle.net/10356/179974
Schools: S. Rajaratnam School of International Studies 
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:RSIS Commentaries and Reports

Files in This Item:
File Description SizeFormat 
CO24111.pdf206.18 kBAdobe PDFThumbnail
View/Open

Page view(s)

84
Updated on Mar 20, 2025

Download(s) 50

32
Updated on Mar 20, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.