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.
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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-pp.ucl.ac.uk/id/eprint/1409128 |
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