COVID-19 tweet links: a preliminary investigation of type and relevance
We conducted an exploratory study of the links found in Twitter tweets. Our results showed that the largest category of tweet links was social media platforms followed by alternative news sites. Government agencies and educational institutions were under-represented. In terms of relevance, about 75%...
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sg-ntu-dr.10356-1688852023-06-21T05:38:51Z COVID-19 tweet links: a preliminary investigation of type and relevance Goh, Dion Hoe-Lian Lee, Chei Sian Zheng, Han Theng, Yin Leng Wee Kim Wee School of Communication and Information Social sciences::Communication COVID-19 Tweets We conducted an exploratory study of the links found in Twitter tweets. Our results showed that the largest category of tweet links was social media platforms followed by alternative news sites. Government agencies and educational institutions were under-represented. In terms of relevance, about 75% of the links were related to COVID-19 but disappointingly, only 40% of the links were directly related to their respective tweets' topics. 2023-06-21T05:38:51Z 2023-06-21T05:38:51Z 2022 Journal Article Goh, D. H., Lee, C. S., Zheng, H. & Theng, Y. L. (2022). COVID-19 tweet links: a preliminary investigation of type and relevance. Proceedings of the Association for Information Science and Technology, 59(1), 693-695. https://dx.doi.org/10.1002/pra2.693 2373-9231 https://hdl.handle.net/10356/168885 10.1002/pra2.693 36714428 2-s2.0-85148466925 1 59 693 695 en Proceedings of the Association for Information Science and Technology Author(s) retain copyright, but ASIS&T receives an exclusive publication license. |
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Social sciences::Communication COVID-19 Tweets Goh, Dion Hoe-Lian Lee, Chei Sian Zheng, Han Theng, Yin Leng COVID-19 tweet links: a preliminary investigation of type and relevance |
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We conducted an exploratory study of the links found in Twitter tweets. Our results showed that the largest category of tweet links was social media platforms followed by alternative news sites. Government agencies and educational institutions were under-represented. In terms of relevance, about 75% of the links were related to COVID-19 but disappointingly, only 40% of the links were directly related to their respective tweets' topics. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Goh, Dion Hoe-Lian Lee, Chei Sian Zheng, Han Theng, Yin Leng |
format |
Article |
author |
Goh, Dion Hoe-Lian Lee, Chei Sian Zheng, Han Theng, Yin Leng |
author_sort |
Goh, Dion Hoe-Lian |
title |
COVID-19 tweet links: a preliminary investigation of type and relevance |
title_short |
COVID-19 tweet links: a preliminary investigation of type and relevance |
title_full |
COVID-19 tweet links: a preliminary investigation of type and relevance |
title_fullStr |
COVID-19 tweet links: a preliminary investigation of type and relevance |
title_full_unstemmed |
COVID-19 tweet links: a preliminary investigation of type and relevance |
title_sort |
covid-19 tweet links: a preliminary investigation of type and relevance |
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2023 |
url |
https://hdl.handle.net/10356/168885 |
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1772828786720505856 |