Citation
Abstract
Online social media platforms are often responsible for the rise of fake news, which can occasionally prevent people from knowing the truth and fuels partisan political conflict. The idea of "echo chambers" and “filter-bubbles” draws attention to how social media is incredibly fragmented, individualized, and niche-focused, all of which serve to further polarize public opinion. These terms have been associated with the referendum of Brexit in the UK and the victory of Donald Trump in 2016's US presidential election. The term “homophily” on the other hand refers to the tendency of people to be in a circle that shares the same thought and interest, that could also contribute to political division in social media. In the positive side, high political polarization demonstrates the freedom of expression, on the other hand it can heighten political tensions and inequalities, which may have an adverse effect on a nation's stability. Determining political division and its origins via social media is therefore a crucial topic for discussion. In this research work, several articles were examined to discover the computing methods and approaches employed by the existing works for identifying political polarization in social media.
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Computer Science and Information Technology |
DOI Number: | https://doi.org/10.37934/araset.34.1.8089 |
Publisher: | Semarak Ilmu Publishing |
Keywords: | Political opinion polarization; Echo chambers; Filter bubbles; Sentiment analysis; Social network analysis; Opinion mining; Political polarization; Fake news; Homophily; Online communication; Natural language processing |
Depositing User: | Mr. Mohamad Syahrul Nizam Md Ishak |
Date Deposited: | 04 Apr 2024 07:55 |
Last Modified: | 04 Apr 2024 07:55 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.37934/araset.34.1.8089 |
URI: | http://psasir.upm.edu.my/id/eprint/105812 |
Statistic Details: | View Download Statistic |
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