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Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire.

Rachel A PozzarMarilyn J HammerMeghan L UnderhillAlexi A WrightJames A TulskyFangxin HongDaniel Alexander GundersenDonna L Berry
Published in: Journal of medical Internet research (2020)
Research findings from several disciplines suggest studies in which research participants are recruited through social media are susceptible to data quality issues. Opportunistic individuals who use virtual private servers to fraudulently complete research surveys for profit may contribute to low-quality data. Strategies to preserve data integrity following research participant recruitment through social media are limited. Development and testing of novel strategies to prevent and detect fraud is a research priority.
Keyphrases
  • social media
  • health information
  • cross sectional
  • electronic health record
  • big data
  • healthcare
  • quality improvement
  • machine learning
  • data analysis
  • psychometric properties
  • infectious diseases