The Research Topic Defines "Noise" in Social Media Data - a Response from the Authors
- PMID: 28576756
- PMCID: PMC5473945
- DOI: 10.2196/jmir.6824
The Research Topic Defines "Noise" in Social Media Data - a Response from the Authors
Keywords: automated tweets, noise, social media data.
Conflict of interest statement
Conflicts of Interest: None declared.
Comment on
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Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection.J Med Internet Res. 2016 Feb 26;18(2):e41. doi: 10.2196/jmir.4738. J Med Internet Res. 2016. PMID: 26920122 Free PMC article.
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The Importance of Debiasing Social Media Data to Better Understand E-Cigarette-Related Attitudes and Behaviors.J Med Internet Res. 2016 Aug 9;18(8):e219. doi: 10.2196/jmir.6185. J Med Internet Res. 2016. PMID: 27507563 Free PMC article. No abstract available.
References
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- Allem JP, Ferrara E. The importance of debiasing social media data to better understand e-cigarette-related attitudes and behaviors. J Med Internet Res. 2016 Aug 09;18(8):e219. doi: 10.2196/jmir.6185. http://www.jmir.org/2016/8/e219/ - DOI - PMC - PubMed
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- Kim Y, Huang J, Emery S. Garbage in, garbage out: data collection, quality assessment and reporting standards for social media data use in health research, infodemiology and digital disease detection. J Med Internet Res. 2016 Feb 26;18(2):e41. doi: 10.2196/jmir.4738. http://www.jmir.org/2016/2/e41/ - DOI - PMC - PubMed
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- Gruzd A. Proceedings of the 25th International Conference Companion on World Wide Web. Geneva: International World Wide Web Conferences Steering Committee; 2016. Who are We Modelling: Bots or Humans? p. 551.
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- Clark EM, Jones CA, Williams JR, Kurti AN, Norotsky MC, Danforth CM, Dodds PS. Vaporous marketing: uncovering pervasive electronic cigarette advertisements on Twitter. PLoS One. 2016 Jul;11(7):e0157304. doi: 10.1371/journal.pone.0157304. http://dx.plos.org/10.1371/journal.pone.0157304 - DOI - DOI - PMC - PubMed
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