Contrasting Misinformation and Real-Information Dissemination Network Structures on Social Media During a Health Emergency
Objectives. To provide a comprehensive workflow to identify top influential health misinformation about Zika on Twitter in 2016, reconstruct information dissemination networks of retweeting, contrast mis- from real information on various metrics, and investigate how Zika misinformation proliferated on social media during the Zika epidemic.Methods. We systematically reviewed the top 5000 English-language Zika tweets, established an evidence-based definition of "misinformation," identified misinformation tweets, and matched a comparable group of real-information tweets. We developed an algorithm to reconstruct retweeting networks for 266 misinformation and 458 comparable real-information tweets. We computed and compared 9 network metrics characterizing network structure across various levels between the 2 groups.Results. There were statistically significant differences in all 9 network metrics between real and misinformation groups. Misinformation network structures were generally more sophisticated than those in the real-information group. There was substantial within-group variability, too.Conclusions. Dissemination networks of Zika misinformation differed substantially from real information on Twitter, indicating that misinformation utilized distinct dissemination mechanisms from real information. Our study will lead to a more holistic understanding of health misinformation challenges on social media.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:110 |
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| Enthalten in: |
American journal of public health - 110(2020), S3 vom: 14. Okt., Seite S340-S347 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Safarnejad, Lida [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 12.11.2020 Date Revised 12.11.2020 published: Print Citation Status MEDLINE |
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| doi: |
10.2105/AJPH.2020.305854 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM315721677 |
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| 100 | 1 | |a Safarnejad, Lida |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Contrasting Misinformation and Real-Information Dissemination Network Structures on Social Media During a Health Emergency |
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| 500 | |a Date Completed 12.11.2020 | ||
| 500 | |a Date Revised 12.11.2020 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Objectives. To provide a comprehensive workflow to identify top influential health misinformation about Zika on Twitter in 2016, reconstruct information dissemination networks of retweeting, contrast mis- from real information on various metrics, and investigate how Zika misinformation proliferated on social media during the Zika epidemic.Methods. We systematically reviewed the top 5000 English-language Zika tweets, established an evidence-based definition of "misinformation," identified misinformation tweets, and matched a comparable group of real-information tweets. We developed an algorithm to reconstruct retweeting networks for 266 misinformation and 458 comparable real-information tweets. We computed and compared 9 network metrics characterizing network structure across various levels between the 2 groups.Results. There were statistically significant differences in all 9 network metrics between real and misinformation groups. Misinformation network structures were generally more sophisticated than those in the real-information group. There was substantial within-group variability, too.Conclusions. Dissemination networks of Zika misinformation differed substantially from real information on Twitter, indicating that misinformation utilized distinct dissemination mechanisms from real information. Our study will lead to a more holistic understanding of health misinformation challenges on social media | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Xu, Qian |e verfasserin |4 aut | |
| 700 | 1 | |a Ge, Yaorong |e verfasserin |4 aut | |
| 700 | 1 | |a Krishnan, Siddharth |e verfasserin |4 aut | |
| 700 | 1 | |a Bagarvathi, Arunkumar |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Shi |e verfasserin |4 aut | |
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