Universität zu Köln

Smith, Elke ORCID: 0000-0003-2836-0924, Michalski, Simon, Knauth, Kilian H. K., Kaspar, Kai ORCID: 0000-0002-5092-6798, Reiter, Nils and Peters, Jan ORCID: 0000-0002-0195-5357 (2023). Large-Scale Web Scraping for Problem Gambling Research: A Case Study of COVID-19 Lockdown Effects in Germany. Journal of Gambling Studies, 39 (3). pp. 1487-1504. Springer Nature. ISSN 1573-3602

Full text not available from this repository.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Smith, Elke UNSPECIFIED orcid.org/0000-0003-2836-0924 UNSPECIFIED Michalski, Simon UNSPECIFIED UNSPECIFIED UNSPECIFIED Knauth, Kilian H. K. UNSPECIFIED UNSPECIFIED UNSPECIFIED Kaspar, Kai kkaspar@uni-koeln.de orcid.org/0000-0002-5092-6798 UNSPECIFIED Reiter, Nils UNSPECIFIED UNSPECIFIED UNSPECIFIED Peters, Jan UNSPECIFIED orcid.org/0000-0002-0195-5357 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-707302
DOI:	10.1007/s10899-023-10187-1
Journal or Publication Title:	Journal of Gambling Studies
Volume:	39
Number:	3
Page Range:	pp. 1487-1504
Date:	2023
Publisher:	Springer Nature
ISSN:	1573-3602
Language:	English
Faculty:	Faculty of Human Sciences
Divisions:	Weitere Institute, Arbeits- und Forschungsgruppen > Interdisziplinäres Zentrum für empirische LehrerInnen- und Unterrichtsforschung (IZeF)
Subjects:	Psychology Education
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/70730