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Learning from crime prevention: Foundations of a systemist evaluation framework for online influence activities

Bouhana, N; (2013) Learning from crime prevention: Foundations of a systemist evaluation framework for online influence activities. Department of Security and Crime Science, University College London: London, UK. Green open access

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Abstract

This report introduces the crime prevention knowledge-base on evaluation and lays out the foundations of a systemist evaluation framework for online influence activities (OIAs). Different approaches to evaluation are assessed for suitability, including evidence-based and realist evaluation, and the pros and cons of the main families of research designs are described. The case is made that a formative realist model, supplemented by a systemist analytical framework, is best suited to OIA evaluation, given the embryonic state of the problem domain and the absence of a systematic knowledge-base on influence activities. A prototype of a systemist formative evaluation framework for OIA is presented.

Type: Report
Title: Learning from crime prevention: Foundations of a systemist evaluation framework for online influence activities
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Requests for permission for wider use or dissemination should be made to Dr Noémie Bouhana, University College London. Copyright © Dr Noémie Bouhana University College London 2013.
Keywords: online influence activities, evaluation, crime prevention, systemic framework
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/1409128
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