Residential College | false |
Status | 已發表Published |
Geographical distance and news diffusion associating with the sentiment of tweets: Case study on London bridge attack 2017 | |
Phoey Lee Teh1; Jin Quan Low1; Yain-Whar Si2 | |
2020-12 | |
Conference Name | 18th IEEE Int Symp on Parallel and Distributed Proc with Applicat (ISPA) / 10th IEEE Int Conf on Big Data and Cloud Comp (BDCloud) / IEEE Int Symp on Social Comp and Networking (SocialCom) / IEEE Int Conf on Sustainable Comp and Commun (SustainCom) |
Source Publication | Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020 |
Pages | 1481-1486 |
Conference Date | 17-19 December 2020 |
Conference Place | Exeter, United Kingdom |
Country | United Kingdom |
Publisher | IEEE |
Abstract | 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. |
Keyword | Geographical Distance News Diffusion Sentiment Analysis Tweets |
DOI | 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00223 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods |
WOS ID | WOS:000684021500197 |
Scopus ID | 2-s2.0-85108026564 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Science and Technology DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
Corresponding Author | Phoey Lee Teh |
Affiliation | 1.Department of Computing and Information Systems, School of Science and Technology, Sunway University 2.Department of Computer and Information Science Faculty of Science and Technology, University of Macau |
Recommended Citation GB/T 7714 | Phoey Lee Teh,Jin Quan Low,Yain-Whar Si. Geographical distance and news diffusion associating with the sentiment of tweets: Case study on London bridge attack 2017[C]:IEEE, 2020, 1481-1486. |
APA | Phoey Lee Teh., Jin Quan Low., & Yain-Whar Si (2020). Geographical distance and news diffusion associating with the sentiment of tweets: Case study on London bridge attack 2017. Proceedings - 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2020 IEEE International Conference on Big Data and Cloud Computing, 2020 IEEE International Symposium on Social Computing and Networking and 2020 IEEE International Conference on Sustainable Computing and Communications, ISPA-BDCloud-SocialCom-SustainCom 2020, 1481-1486. |
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