Reddit sentiment analysis and topic modelling on POFMA
The proliferation of misinformation in the digital age presents a pressing challenge globally, and Singapore has responded with the Protection from Online Falsehoods and Manipulation Act (POFMA). While POFMA aims to combat misinformation, concerns about its impact on freedom of speech persist. This...
| Κύριος συγγραφέας: | |
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| Άλλοι συγγραφείς: | |
| Μορφή: | Final Year Project (FYP) |
| Γλώσσα: | English |
| Έκδοση: |
Nanyang Technological University
2024
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| Θέματα: | |
| Διαθέσιμο Online: | https://hdl.handle.net/10356/175367 |
| _version_ | 1826115464026128384 |
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| author | Ghazali, Aqil Akram |
| author2 | Anwitaman Datta |
| author_facet | Anwitaman Datta Ghazali, Aqil Akram |
| author_sort | Ghazali, Aqil Akram |
| collection | NTU |
| description | The proliferation of misinformation in the digital age presents a pressing challenge globally, and Singapore has responded with the Protection from Online Falsehoods and Manipulation Act (POFMA). While POFMA aims to combat misinformation, concerns about its impact on freedom of speech persist. This study investigates public sentiment towards POFMA using social media analysis, bridging a gap in understanding beyond expert opinions. Through sentiment analysis and topic modelling of Reddit discussions, the study reveals predominantly positive attitudes towards POFMA, challenging prevailing narratives.
Key findings from the sentiment analysis and topic modelling provide valuable insights into the public discourse surrounding POFMA and how it challenges preconceived notions about the perceptions of POFMA. The study contributes to the understanding of the complex interplay between legislative interventions, online discourse, and public opinion in the digital age. |
| first_indexed | 2024-10-01T03:55:35Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/175367 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:55:35Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1753672024-04-26T15:42:43Z Reddit sentiment analysis and topic modelling on POFMA Ghazali, Aqil Akram Anwitaman Datta School of Computer Science and Engineering Anwitaman@ntu.edu.sg Computer and Information Science The proliferation of misinformation in the digital age presents a pressing challenge globally, and Singapore has responded with the Protection from Online Falsehoods and Manipulation Act (POFMA). While POFMA aims to combat misinformation, concerns about its impact on freedom of speech persist. This study investigates public sentiment towards POFMA using social media analysis, bridging a gap in understanding beyond expert opinions. Through sentiment analysis and topic modelling of Reddit discussions, the study reveals predominantly positive attitudes towards POFMA, challenging prevailing narratives. Key findings from the sentiment analysis and topic modelling provide valuable insights into the public discourse surrounding POFMA and how it challenges preconceived notions about the perceptions of POFMA. The study contributes to the understanding of the complex interplay between legislative interventions, online discourse, and public opinion in the digital age. Bachelor's degree 2024-04-22T05:35:05Z 2024-04-22T05:35:05Z 2024 Final Year Project (FYP) Ghazali, A. A. (2024). Reddit sentiment analysis and topic modelling on POFMA. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175367 https://hdl.handle.net/10356/175367 en application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Ghazali, Aqil Akram Reddit sentiment analysis and topic modelling on POFMA |
| title | Reddit sentiment analysis and topic modelling on POFMA |
| title_full | Reddit sentiment analysis and topic modelling on POFMA |
| title_fullStr | Reddit sentiment analysis and topic modelling on POFMA |
| title_full_unstemmed | Reddit sentiment analysis and topic modelling on POFMA |
| title_short | Reddit sentiment analysis and topic modelling on POFMA |
| title_sort | reddit sentiment analysis and topic modelling on pofma |
| topic | Computer and Information Science |
| url | https://hdl.handle.net/10356/175367 |
| work_keys_str_mv | AT ghazaliaqilakram redditsentimentanalysisandtopicmodellingonpofma |