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...

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Main Author: Ghazali, Aqil Akram
Other Authors: Anwitaman Datta
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175367
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
spellingShingle Computer and Information Science
Ghazali, Aqil Akram
Reddit sentiment analysis and topic modelling on POFMA
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.
author2 Anwitaman Datta
author_facet Anwitaman Datta
Ghazali, Aqil Akram
format Final Year Project
author Ghazali, Aqil Akram
author_sort Ghazali, Aqil Akram
title Reddit sentiment analysis and topic modelling on POFMA
title_short 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_sort reddit sentiment analysis and topic modelling on pofma
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175367
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