Detection of echo chambers in Reddit

In today’s technology climate, people can easily connect with anyone in the world, and to quickly access any kind of information online. While this is beneficial, it does come at a great cost as well. When given the freedom to express their thoughts, people usually concur with views that are consist...

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Bibliographic Details
Main Author: Mun, Kei Wuai
Other Authors: Lee Bu Sung, Francis
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/165950
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author Mun, Kei Wuai
author2 Lee Bu Sung, Francis
author_facet Lee Bu Sung, Francis
Mun, Kei Wuai
author_sort Mun, Kei Wuai
collection NTU
description In today’s technology climate, people can easily connect with anyone in the world, and to quickly access any kind of information online. While this is beneficial, it does come at a great cost as well. When given the freedom to express their thoughts, people usually concur with views that are consistent with their own, ignoring and dismissing other views that are different. This results in the phenomenon called “echo chamber”, in which people are trapped in an enclosed chamber where their own ideology is reinforced, or echoed again and again. Echo chambers can be detrimental as it diminishes mutual understanding between groups of people with different ideologies, causing social tension. Thus, it is more important now than ever, to know how to detect echo chambers. However, there are limited studies and research done in this domain. This report presents a novel and structured approach in detecting echo chambers in a widely popular social media platform named Reddit. It is a hybrid approach consisting of topological and semantic aspects, which makes use of graph community and stance detection respectively, to detect echo chambers.
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spelling ntu-10356/1659502023-04-21T15:37:35Z Detection of echo chambers in Reddit Mun, Kei Wuai Lee Bu Sung, Francis School of Computer Science and Engineering Defence Science and Technology Agency EBSLEE@ntu.edu.sg Engineering In today’s technology climate, people can easily connect with anyone in the world, and to quickly access any kind of information online. While this is beneficial, it does come at a great cost as well. When given the freedom to express their thoughts, people usually concur with views that are consistent with their own, ignoring and dismissing other views that are different. This results in the phenomenon called “echo chamber”, in which people are trapped in an enclosed chamber where their own ideology is reinforced, or echoed again and again. Echo chambers can be detrimental as it diminishes mutual understanding between groups of people with different ideologies, causing social tension. Thus, it is more important now than ever, to know how to detect echo chambers. However, there are limited studies and research done in this domain. This report presents a novel and structured approach in detecting echo chambers in a widely popular social media platform named Reddit. It is a hybrid approach consisting of topological and semantic aspects, which makes use of graph community and stance detection respectively, to detect echo chambers. Bachelor of Science in Data Science and Artificial Intelligence 2023-04-17T07:03:20Z 2023-04-17T07:03:20Z 2023 Final Year Project (FYP) Mun, K. W. (2023). Detection of echo chambers in Reddit. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165950 https://hdl.handle.net/10356/165950 en SCSE22-0635 application/pdf Nanyang Technological University
spellingShingle Engineering
Mun, Kei Wuai
Detection of echo chambers in Reddit
title Detection of echo chambers in Reddit
title_full Detection of echo chambers in Reddit
title_fullStr Detection of echo chambers in Reddit
title_full_unstemmed Detection of echo chambers in Reddit
title_short Detection of echo chambers in Reddit
title_sort detection of echo chambers in reddit
topic Engineering
url https://hdl.handle.net/10356/165950
work_keys_str_mv AT munkeiwuai detectionofechochambersinreddit