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Reducing the Noise From Scraping Social Media Content: Some Evidence-Based Recommendations

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  • Lievens, Filip
  • Van Iddekinge, Chad H.

Abstract

Chamorro-Premuzic, Winsborough, Sherman, and Hogan (2016) describe a variety of new selection approaches (e.g., “scraping” of social media information, gamified assessments) in the staffing domain that might provide new sources of information about people. The authors also mention advantages and downsides of these potentially “new talent signals.”

Suggested Citation

  • Lievens, Filip & Van Iddekinge, Chad H., 2016. "Reducing the Noise From Scraping Social Media Content: Some Evidence-Based Recommendations," Industrial and Organizational Psychology, Cambridge University Press, vol. 9(3), pages 660-666, September.
    • Handle: RePEc:cup:inorps:v:9:y:2016:i:03:p:660-666_00
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    Cited by:

    1. Zheng Wenzhi & Wu Yenchun & Shen Chuangang & Wen Hao, 2021. "Social media for talent selection? a validity test of inter-judge agreement and behavioral prediction," Information Technology and Management, Springer, vol. 22(1), pages 1-12, March.

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