The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Retweets of officials’ alarming vs reassuring messages during the COVID-19 pandemic: Implications for crisis management
Open accessAbstract
Coronavirus related discussions have spiraled at an exponential rate since its initial outbreak. By the end of May, more than 6 million people were diagnosed with this infection. Twitter witnessed an outpouring of anxious tweets through messages associated with the spread of the virus. Government and health officials replied to the troubling tweets, reassuring the public with regular alerts on the virus's progress and information to defend against the virus. We observe that social media users are worried about Covid 19-related crisis and we identify three separate conversations on virus contagion, prevention, and the economy. We analyze the tone of officials' tweet text as alarming and reassuring and capture the response of Twitter users to official communications. Such studies can provide insights to health officials and government agencies for crisis management, specifically regarding communicating emergency information to the public via social media for establishing reassurance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The study posits the criticality of officials communicating clear and reassuring messages during crisis management scenarios and the monitoring of social media platforms to ensure that official messages are not used and retweeted to reinforce and alarmist narrative within social communities.”
From Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life (2020) · cites this paper as Rao et al. (2020)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Blei, D. M. (2012) · Communications of the ACM · doi:10.1145/2133806.2133826 · Cited by 5,516
Media Discourse and Public Opinion on Nuclear Power: A Constructionist Approach
Gamson, W. A., & Modigliani, A. (1989) · American Journal of Sociology · doi:10.1086/229213 · Cited by 4,997
Yates, D., & Paquette, S. (2010) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.10.001 · Cited by 881
Palen, L. A., Vieweg, S. E., Liu, S. B., & Hughes, A. (2009) · Social Science Computer Review · doi:10.1177/0894439309332302 · Cited by 428
Coordination in emergency response management
Rui, C., Sharman, R., Rao, H. R., & Upadhyaya, S. (2008) · Communications of the ACM · doi:10.1145/1342327.1342340 · Cited by 310
Self-citationEmergency information diffusion on online social media during storm Cindy in U.S.
Kim, J., Bae, J., & Hastak, M. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.02.003 · Cited by 166
Crisis information distribution on Twitter: a content analysis of tweets during Hurricane Sandy
Wang, B., & Zhuang, J. (2017) · Natural Hazards · doi:10.1007/s11069-017-2960-x · Cited by 153
Twitter as a Rapid Response News Service: An Exploration in the Context of the 2008 China Earthquake
Li, J., & Rao, H. R. (2010) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/j.1681-4835.2010.tb00300.x · Cited by 136
Self-citationWeb 2.0 Emergency Applications: How Useful Can Twitter be for Emergency Response?
Mills, A., Chen, R., Lee, J., & Rao, H. R. (2009) · Journal of Information Privacy and Security · doi:10.1080/15536548.2009.10855867 · Cited by 132
Self-citationUngar, S. B. (2008) · Science Communication · doi:10.1177/1075547008316219 · Cited by 83
Retweeting the Fukushima nuclear radiation disaster
Li, J., Vishwanath, A., & Rao, H. R. (2014) · Communications of the ACM · doi:10.1145/2500881 · Cited by 60
Self-citationContent Analysis of a Live CDC Twitter Chat During the 2014 Ebola Outbreak
Crook, B., Glowacki, E. M., Suran, M., Harris, J. K., & Bernhardt, J. M. (2016) · Communication Research Reports · doi:10.1080/08824096.2016.1224171 · Cited by 42
Mining social influence in science and vice-versa: A topic correlation approach
Nolasco, D., & Oliveira, J. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.10.002 · Cited by 17
Cited by
Sorted by citations
Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., et al. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102211 · Cited by 1,232
Jang, H., Rempel, E., Roth, D., Carenini, G., & Janjua, N. Z. (2021) · Journal of Medical Internet Research · doi:10.2196/25431 · Cited by 169
Kitsios, F., Mitsopoulou, E., Moustaka, E., & Kamariotou, M. I. (2021) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2021.100056 · Cited by 165
The use of Twitter by state leaders and its impact on the public during the COVID-19 pandemic
Haman, M. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05540 · Cited by 111
Liu, M. T., Wang, S., McCartney, G. J., & Wong, I. A. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-07-2020-0678 · Cited by 95
Metadata
- Authors
- Rao, H. R., Vemprala, N., Akello, P., & Valecha, R.
- Affiliations
- The University of Texas at San Antonio (US)
- Corresponding author
- Rao, H. Raghav
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 55
- Pages
- 102187
- ISSN
- 0268-4012 (ISSN-L)
- PMC
- PMC7309924
- OpenAlex
- W3035939752
- Cited by
- 150
- References
- 13
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 19 · 2023: 26 · 2022: 34 · 2021: 47 · 2020: 10
- FWCI
- 35.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- International Journal of Information Management (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Communication › Public Relations and Crisis Communication
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- COVID-19 pandemic, crisis management, retweets, public anxiety, emergency communication, Twitter, health communication, economic impact of COVID-19, virus prevention
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review