Published on 04.06.19 in Vol 5, No 2 (2019): Apr-Jun
Works citing "Identifying Key Topics Bearing Negative Sentiment on Twitter: Insights Concerning the 2015-2016 Zika Epidemic"
According to Crossref, the following articles are citing this article (DOI 10.2196/11036):
(note that this is only a small subset of citations)
- Li J, Xu Q, Cuomo R, Purushothaman V, Mackey T. Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study. JMIR Public Health and Surveillance 2020;6(2):e18700CrossRef
- Sesagiri Raamkumar A, Tan SG, Wee HL. Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison (Preprint). Journal of Medical Internet Research 2020;CrossRef
- Gesualdo F, D’Ambrosio A, Agricola E, Russo L, Campagna I, Ferretti B, Pandolfi E, Cristoforetti M, Tozzi AE, Rizzo C. How do Twitter users react to TV broadcasts dedicated to vaccines in Italy?. European Journal of Public Health 2020;30(3):481CrossRef
- Pfeiffer C, Hollenstein N, Zhang C, Langer N. Neural dynamics of sentiment processing during naturalistic sentence reading. NeuroImage 2020;218:116934CrossRef