Systematic Social Event Modeling: A Methodology for Analyzing Body-Worn Camera Footage

Autor/inn/en	Makin, David A.; Willits, Dale W.; Brooks, Rachael
Titel	Systematic Social Event Modeling: A Methodology for Analyzing Body-Worn Camera Footage
Quelle	In: International Journal of Social Research Methodology, 24 (2021) 2, S.163-176 (14 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Makin, David A.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1364-5579
DOI	10.1080/13645579.2020.1766775
Schlagwörter	Video Technology; Data Analysis; Observation; Police; Mixed Methods Research + Suchen Sie Ihr Suchwort? Auswertung; Beobachtung
Abstract	The growth of multimedia and increasing archival of this footage by public safety agencies presents as a watershed moment in converting this footage into actionable data that can inform and improve public safety practice. However, despite the considerable volume of archival footage, there remains a profound lack of research leveraging this data. While data access will always remain an issue to researchers, this article argues that a lack of tools and methodologies for working with this data remains a barrier. As such, this article introduces a technique blending the best practices of systematic social observation and event modeling for deconstructing body-worn cameras, or other recorded observational data. Incorporating an empirical example detailing the application of the technique, this article summarizes the value of this integrated technique, while providing guidance on different analytical approaches. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01