This paper is in the following e-collection/theme issue:

New Methods (944) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Systemic Racism and Racial Bias in Health Care and Society (85) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Demographics of Users, Social & Digital Divide (739) Infoveillance and Social Listening (209) Data Sources and Open Data for Infodemiology (15) Equity Issues in Information Distribution (20) Infodemic Management (49)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35788, first published .
Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review

Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review

Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review

Authors of this article:

Su Golder1 Author Orcid Image ;   Robin Stevens2 Author Orcid Image ;   Karen O'Connor3 Author Orcid Image ;   Richard James4 Author Orcid Image ;   Graciela Gonzalez-Hernandez3 Author Orcid Image
Article Authors Cited by (10) Tweetations (8) Metrics

Journals

  1. Golder S, McRobbie‐Johnson A, Klein A, Polite F, Gonzalez Hernandez G. Social media and COVID‐19 vaccination hesitancy during pregnancy: a mixed methods analysis. BJOG: An International Journal of Obstetrics & Gynaecology 2023;130(7):750 View
  2. Thakur N. Investigating and Analyzing Self-Reporting of Long COVID on Twitter: Findings from Sentiment Analysis. Applied System Innovation 2023;6(5):92 View
  3. Thakur N. Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. Big Data and Cognitive Computing 2023;7(2):116 View
  4. Chin M, Đoàn L, Russo R, Roberts T, Persaud S, Huang E, Fu L, Kui K, Kwon S, Yi S. Methods for retrospectively improving race/ethnicity data quality: a scoping review. Epidemiologic Reviews 2023;45(1):127 View
  5. Zhang A, Ong C. “We Are Bulletproof”: The Transcultural Power of Fandom in #StopAsianHate. Sociological Inquiry 2024;94(2):391 View
  6. Tsao S, Chen H, Butt Z. Validating part of the social media infodemic listening conceptual framework using structural equation modelling. eClinicalMedicine 2024;70:102544 View
  7. O'Connor K, Golder S, Weissenbacher D, Klein A, Magge A, Gonzalez-Hernandez G. Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review. Journal of Medical Internet Research 2024;26:e47923 View
  8. Orgad S. Posting vulnerability on LinkedIn. New Media & Society 2024 View
  9. Pan C, Wu Y, Wang S, Wang J, Chapman M, Zhang L, Li S. Pandemic fatigue? Insights from geotagged tweets on the spatiotemporal evolution of mental health in Canadian cities during COVID-19. Cities 2024;151:105100 View