| Literature DB >> 36186802 |
Himel Mondal1, Emil D Parvanov2,3, Rajeev K Singla4,5, Rehab A Rayan6, Faisal A Nawaz7, Valentin Ritschl8,9, Fabian Eibensteiner2,10, Chandragiri Siva Sai11, Merisa Cenanovic12, Hari Prasad Devkota13,14, Mojca Hribersek2, Ronita De15, Elisabeth Klager2, Maria Kletecka-Pulker2,16, Sabine Völkl-Kernstock2,17, Garba M Khalid18, Ronan Lordan19,20, Mihnea-Alexandru Găman21,22, Bairong Shen4, Tanja Stamm8,9, Harald Willschke2,23, Atanas G Atanasov2,24.
Abstract
Background: Crowdsourcing is a low-cost, adaptable, and innovative method to collect ideas from numerous contributors with diverse backgrounds. Crowdsourcing from social media like Twitter can be used for generating ideas in a noticeably brief time based on contributions from globally distributed users. The world has been challenged by the COVID-19 pandemic in the last several years. Measures to combat the pandemic continue to evolve worldwide, and ideas and opinions on optimal counteraction strategies are of high interest. Objective: This study aimed to validate the use of Twitter as a crowdsourcing platform in order to gain an understanding of public opinion on what measures can help to end the COVID-19 pandemic faster.Entities:
Keywords: COVID-19; Twitter; crowdsourcing; pandemic; public opinion; social media
Year: 2022 PMID: 36186802 PMCID: PMC9523003 DOI: 10.3389/fmed.2022.961360
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1The applied study protocol, including the consequently conducted steps and the respective timeline.
Figure 2Twitter poll result reflecting the opinions of users on the perceived importance of personal vs. institutional measures to quickly end the COVID-19 pandemic. The data were obtained from the Twitter analytics feature of the DHPSP Twitter handle on February 12, 2022 (Chi-square test [compared the number of votes in each response option with an expected equal number of responses in each option; statistical significance indicates that the votes in four response options did not occur by chance]: χ2 [3] = 201.5, P < 0.0001).
An overview of the obtained proposals for measures that might be helpful to quickly end the COVID-19 pandemic and their respective endorsements.
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| 167 (13) | |
| 101 (7) | |
| 83 (11) | |
| 80 (7) | |
| 40 (3) | |
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| 191 (13) | |
| 189 (13) | |
| 157 (11) | |
| 152 (13) | |
| 140 (12) | |
| 138 (10) | |
| 65 (5) | |
| 61 (5) | |
| 46 (5) | |
| 42 (3) | |
| 42 (4) | |
| 33 (5) |
*Endorsements were calculated as the combined number of supporting comments, retweets, and likes on Twitter; the number of original comments suggesting the respective measure is indicated in parentheses.