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 |
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