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

Filip Lievens; Chad H. Van Iddekinge

doi:10.1017/iop.2016.67

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

Journal article

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

Filip Lievens and Chad H. Van Iddekinge

Industrial and organizational psychology, Vol.9(3), pp.660-666

09/01/2016

DOI: 10.1017/iop.2016.67

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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.”

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Details

Title: Subtitle: Reducing the Noise From Scraping Social Media Content: Some Evidence-Based Recommendations
Creators: Filip Lievens - Ghent University
Chad H. Van Iddekinge - College of Business, Florida State University
Resource Type: Journal article
Publication Details: Industrial and organizational psychology, Vol.9(3), pp.660-666
Publisher: Cambridge University Press
DOI: 10.1017/iop.2016.67
ISSN: 1754-9426
eISSN: 1754-9434
Number of pages: 7
Alternative title: FILIP LIEVENS AND CHAD H. VAN IDDEKINGE; SCRAPING SOCIAL MEDIA CONTENT
Language: English
Date published: 09/01/2016
Academic Unit: Management and Entrepreneurship
Record Identifier: 9984380498302771

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