Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017
This article aims to explore how could distance affect news diffusion and polarity of the sentiment. Understanding the estimation potential point of origin of news diffusion can allow time to control or monitor the potential of fake news to continue to disperse. In this case, we collect a total of 1...
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my.sunway.eprints.15382020-12-07T02:42:44Z http://eprints.sunway.edu.my/1538/ Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017 Teh, Phoey Lee * Low, Jin Quan Si, Yain-Whar HM Sociology QA75 Electronic computers. Computer science This article aims to explore how could distance affect news diffusion and polarity of the sentiment. Understanding the estimation potential point of origin of news diffusion can allow time to control or monitor the potential of fake news to continue to disperse. In this case, we collect a total of 10,427 English tweets posted 1 hour after the real incident of London bridge attack. Taking into consideration that the ground zero as the place of attack, for an accumulating buffer of radius expanding with 400km from ground zero geographically, we organise tweets into ten clusters sets and analyse it. News diffusion level associating with the polarity of the sentiment of news discussed, and the type of terms that frequently used within the radius are also analysed. 2020 Conference or Workshop Item PeerReviewed text en cc_by_nc_4 http://eprints.sunway.edu.my/1538/1/Teh%20Phoey%20Lee%20Preprint%20-%20Geographical%20distance%20and%20news.pdf Teh, Phoey Lee * and Low, Jin Quan and Si, Yain-Whar (2020) Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017. In: Internatioonal Conference on Statistics, Mathematical Modelling and Anallysis (SMMA 2020), 6-8 November 2020, Xiamen, China. (In Press) |
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HM Sociology QA75 Electronic computers. Computer science Teh, Phoey Lee * Low, Jin Quan Si, Yain-Whar Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017 |
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This article aims to explore how could distance affect news diffusion and polarity of the sentiment. Understanding the estimation potential point of origin of news diffusion can allow time to control or monitor the potential of fake news to continue to disperse. In this case, we collect a total of 10,427 English tweets posted 1 hour after the real
incident of London bridge attack. Taking into
consideration that the ground zero as the place of attack, for an accumulating buffer of radius expanding with 400km from ground zero geographically, we organise tweets into ten clusters sets and analyse it. News diffusion level associating with the polarity of the sentiment of news discussed, and the type of terms that frequently used within the radius are also analysed. |
format |
Conference or Workshop Item |
author |
Teh, Phoey Lee * Low, Jin Quan Si, Yain-Whar |
author_facet |
Teh, Phoey Lee * Low, Jin Quan Si, Yain-Whar |
author_sort |
Teh, Phoey Lee * |
title |
Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017 |
title_short |
Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017 |
title_full |
Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017 |
title_fullStr |
Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017 |
title_full_unstemmed |
Geographical distance and news diffusion associating with the sentiment of tweets: Case Study on London Bridge Attack 2017 |
title_sort |
geographical distance and news diffusion associating with the sentiment of tweets: case study on london bridge attack 2017 |
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2020 |
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http://eprints.sunway.edu.my/1538/1/Teh%20Phoey%20Lee%20Preprint%20-%20Geographical%20distance%20and%20news.pdf http://eprints.sunway.edu.my/1538/ |
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1685581476318412800 |