Reducing the noise from scraping social media content: Some evidence-based recommendations

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 downs...

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Main Authors:	LIEVENS, Filip, VAN IDDEKINGE, Chad H.
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2016
Subjects:	Human Resources Management Organizational Behavior and Theory
Online Access:	https://ink.library.smu.edu.sg/lkcsb_research/5735
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.lkcsb_research-6734
record_format	dspace
spelling	sg-smu-ink.lkcsb_research-67342018-03-23T08:00:17Z Reducing the noise from scraping social media content: Some evidence-based recommendations LIEVENS, Filip VAN IDDEKINGE, Chad H. 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. 2016-09-01T07:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/5735 info:doi/10.1017/iop.2016.67 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Human Resources Management Organizational Behavior and Theory
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Human Resources Management Organizational Behavior and Theory
spellingShingle	Human Resources Management Organizational Behavior and Theory LIEVENS, Filip VAN IDDEKINGE, Chad H. Reducing the noise from scraping social media content: Some evidence-based recommendations
description	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.
format	text
author	LIEVENS, Filip VAN IDDEKINGE, Chad H.
author_facet	LIEVENS, Filip VAN IDDEKINGE, Chad H.
author_sort	LIEVENS, Filip
title	Reducing the noise from scraping social media content: Some evidence-based recommendations
title_short	Reducing the noise from scraping social media content: Some evidence-based recommendations
title_full	Reducing the noise from scraping social media content: Some evidence-based recommendations
title_fullStr	Reducing the noise from scraping social media content: Some evidence-based recommendations
title_full_unstemmed	Reducing the noise from scraping social media content: Some evidence-based recommendations
title_sort	reducing the noise from scraping social media content: some evidence-based recommendations
publisher	Institutional Knowledge at Singapore Management University
publishDate	2016
url	https://ink.library.smu.edu.sg/lkcsb_research/5735
_version_	1770574084345692160

Reducing the noise from scraping social media content: Some evidence-based recommendations

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