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

Proc Assoc Inf Sci Technol. 2022;59(1):693-695. doi: 10.1002/pra2.693. Epub 2022 Oct 14.

Authors

Dion Hoe-Lian Goh¹, Chei Sian Lee¹, Han Zheng¹, Yin Leng Theng¹

Affiliation

¹ Nanyang Technological University Singapore.

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.

Keywords: COVID‐19; Twitter; links; pandemic; relevance; tweets; type.

85th 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.