The “Digital Turn” in Transitional Justice Research: Evaluating Image and Text as Data in the Western Balkans

Author:

Kostovicova Denisa1ORCID,Kerr Rachel2ORCID,Sokolić Ivor3ORCID,Fairey Tiffany2ORCID,Redwood Henry4ORCID,Subotić Jelena5ORCID

Affiliation:

1. European Institute , London School of Economics and Political Science , London , UK

2. Department of War Studies , King’s College , London , UK

3. School of Humanities , University of Hertfordshire , Hatfield , UK

4. London South Bank University , London , UK

5. Department of Political Science , Georgia State University , Atlanta , GA , USA

Abstract

Abstract The “digital turn” has transformed the landscape of transitional justice research. A wealth of data has been created through social media channels, and new digitisation tools have made existing data more easily accessible. This article discusses the ethical and methodological dimensions of using digital data and novel technologies in transitional justice research based on innovative research using digital archives, digitised transcripts, social media (Facebook) content and digital images. The authors review and evaluate how, in each of these domains, new digital technologies have enabled scholars to expand empirical evidence to understand the mechanics of transitional justice by analysing how data is produced and curated, to interrogate ethical dilemmas involved in those processes and to shift the focus from the ability of transitional justice to fulfil normative goals to how transitional justice is enacted and articulated as a process.

Funder

Arts and Humanities Research Council

Publisher

Walter de Gruyter GmbH

Reference94 articles.

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3. Arthur, C. 2014. “Facebook Emotion Study Breached Ethical Guidelines, Researchers Say.” The Guardian. 30 June. https://www.theguardian.com/technology/2014/jun/30/facebook-emotion-study-breached-ethical-guidelines-researchers-say (accessed 31 December 2021).

4. Benoit, K., D. Conway, B. E. Lauderdale, M. Laver, and S. Mikhaylov. 2016. “Crowdsourced Text Analysis: Reproducible and Agile Production of Political Data.” American Political Science Review 110 (2): 278–95, https://doi.org/10.1017/s0003055416000058.

5. Berinsky, A. J., G. A. Huber, and G. S. Lenz. 2012. “Evaluating Online Labor Markets for Experimental Research: Amazon.com’s Mechanical Turk.” Political Analysis 20 (3): 351–68, https://doi.org/10.1093/pan/mpr057.

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