COVID-19 Tweet Links: A Preliminary Investigation of Type and Relevance

Dion Hoe Lian Goh; Chei Sian Lee; Han Zheng; Yin Leng Theng

doi:10.1002/pra2.693

COVID-19 Tweet Links: A Preliminary Investigation of Type and Relevance

Dion Hoe Lian Goh^*, Chei Sian Lee^*, Han Zheng^*, Yin Leng Theng^*

^*Corresponding author for this work

Nanyang Technological University

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	693-695
Number of pages	3
Journal	Proceedings of the Association for Information Science and Technology
Volume	59
Issue number	1
DOIs	https://doi.org/10.1002/pra2.693
Publication status	Published - 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
85 Annual Meeting of the Association for Information Science & Technology | Oct. 29 – Nov. 1, 2022 | Pittsburgh, PA. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.

ASJC Scopus Subject Areas

General Computer Science
Library and Information Sciences

Keywords

COVID-19
links
pandemic
relevance
tweets
Twitter
type

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10.1002/pra2.693

Cite this

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abstract = "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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note = "Publisher Copyright: 85 Annual Meeting of the Association for Information Science & Technology | Oct. 29 – Nov. 1, 2022 | Pittsburgh, PA. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.",

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COVID-19 Tweet Links: A Preliminary Investigation of Type and Relevance

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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