Goh Dion Hoe-Lian, Lee Chei Sian, Zheng Han, Theng Yin Leng
Nanyang Technological University Singapore.
Proc Assoc Inf Sci Technol. 2022;59(1):693-695. doi: 10.1002/pra2.693. Epub 2022 Oct 14.
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.
我们对推特推文中发现的链接进行了一项探索性研究。我们的结果表明，推文链接的最大类别是社交媒体平台，其次是另类新闻网站。政府机构和教育机构的代表性不足。就相关性而言，约75%的链接与新冠疫情相关，但令人失望的是，只有40%的链接与各自推文的主题直接相关。
