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

被引：0

作者：

Goh D.H.-L. ^{[1
]}

Lee C.S. ^{[1
]}

Zheng H. ^{[1
]}

Theng Y.L. ^{[1
]}

机构：

来源：

Proceedings of the Association for Information Science and Technology | / 1卷 / 693-695期

关键词：

COVID-19; links; pandemic; relevance; tweets; Twitter; type;

D O I：

10.1002/pra2.693

中图分类号：

学科分类号：

摘要：

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. 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.

引用

页码：693 / 695

页数：2

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