Harisanty, Dessy and Anna, Nove Eka V. and Sugihartati, Rahma and Srimulyo, Koko and Mohd Faizal, Hamzah (2024) Netizen views on artificial intelligence: A social media content analysis. Kurdish Studies, 12 (1). pp. 365-376.
Full text not available from this repository.Abstract
The study aims to explore the understanding of digital citizens on artificial intelligence and their views on applications of artificial intelligence. This study uses digital content analysis to get the information discussed by netizens on social media about Artificial Intelligence. The paper uses the data monitoring tool Brand24 that crawls and analyzes the social media including Twitter, blogs, news, forums, videos, podcasts, and the web. The analysis unit used two keywords, "Artificial Intelligence" and "Artificial Intelligent”. Based on the results of digital discourse analysis on Artificial Intelligence (AI), there are several categories where AI is implemented such as in Agriculture, Business, Tourism, Sport, Automotive and Transportation, Cybercrime, Communication, Education, Government, Immigration and Borders, Military and Defense, and Multimedia. There are also two views or sentiments among the netizens about AI, the positive sentiment related to AI will help people, AI can solve complex problems, increase accuracy, and help decision-makers. However, the negative sentiments toward AI such as AI replacing human intelligence, AI creating dangerous weapons, AI supporting data manipulation, and making people dependent on machines. © 2024, Society of History and Cultural Studies. All rights reserved.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Additional Information: | Cited by: 0 |
| Uncontrolled Keywords: | Digital citizens; Artificial intelligence; Social media |
| Subjects: | Z Bibliography. Library Science. Information Resources Z Bibliography. Library Science. Information Resources > Information resources (General) |
| Divisions: | Library |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 18 Sep 2025 03:47 |
| Last Modified: | 18 Sep 2025 03:47 |
| URI: | http://eprints.um.edu.my/id/eprint/44985 |
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