Public Engagement with Science via Social Media: A Case of Communicating the Pandemic on Twitter

被引:4
作者
Knox, Emma [1 ]
Hara, Noriko [1 ]
机构
[1] Indiana University, United States
关键词
online public engagement with science; science communication; Social media; Twitter;
D O I
10.1002/pra2.553
中图分类号
学科分类号
摘要
The poster describes a project which analyzes interactions between laypeople and experts via social media. Our aim is to understand how experts and the general public interact with each other on social media, and how we can use current data to improve these interactions in the future. We created a Twitter bot to obtain data from 15 COVID-19 experts and 7 federal government-sponsored public health organizations from English-speaking countries. The data were analyzed in R to investigate the relationships among Followers, Favorites, Retweets, and Hashtag Count per tweet. The preliminary analysis indicated statistically significant differences between various variables including: Number of Favorites, Number of Retweets, Number of Hashtags, and Number of Followers; the results shed light on the current relationship between the public and experts on social media. Annual Meeting of the Association for Information Science & Technology | Oct. 29 – Nov. 3, 2021 | Salt Lake City, UT. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.
引用
收藏
页码:759 / 761
页数:2
相关论文
共 7 条
  • [1] Callon M., The role of lay people in the production and dissemination of scientific knowledge, Science, Technology & Society, 4, 1, pp. 81-94, (1999)
  • [2] Collins K., Shiffman D., Rock J., How Are Scientists Using Social Media in the Workplace?, PLoS One, 11, 10, (2016)
  • [3] Dudo A., Besley J.C., Scientists' prioritization of communication objectives for public engagement, PLoS One, 11, 2, (2016)
  • [4] Feenberg A., Technosystem: The social life of reason, (2017)
  • [5] Science & engineering indicators, (2018)
  • [6] Rufai S.R., Bunce C., World leaders' usage of Twitter in response to the Covid-19 pandemic: A content analysis, Journal of Public Health, 42, 3, pp. 510-516, (2020)
  • [7] Wadhwa V., Latimer E., Chatterjee K., McCarty J., Fitzgerald R.T., Maximizing the tweet engagement rate in academia: analysis of the AJNR Twitter feed, American Journal of Neuroradiology, 38, 10, pp. 1866-1868, (2017)