Summary information

Study title

The Future of Human Rights Investigations: Using Open Source Intelligence to Transform the Documentation and Discovery of Human Rights Violations, 2018-2021

Creator

McDermott, Y, Swansea University
Murray, D, University of Essex

Study number / PID

854715 (UKDA)

10.5255/UKDA-SN-854715 (DOI)

Data access

Restricted

Series

Not available

Abstract

This data collection contains transcripts of interviews carried out with experienced human rights investigators. Throughout these semi-structured interviews, participants were invited to share their views and experiences on: the extent to which OSINT has affected investigative practices; the representativeness of open source research sources to affected populations; the tools that assist in data gathering and verification; and the challenges and opportunities presented by this type of evidence.Technology is rapidly transforming how investigations of human rights abuses are carried out. Traditionally, investigations relied upon witness testimony and on-site evidence to prove the existence of human rights violations. More recently, however, human rights investigations have been turning to Open Source Intelligence (OSINT), such as social media content and satellite imagery, to overcome the physical, security, and societal barriers to gathering reliable evidence. In August 2017, the International Criminal Court issued its first arrest warrant based on social media evidence. OSINT has the potential to democratise the flow of information on international human rights violations in an unprecedented way. By allowing investigations to be carried out remotely, and by enabling information to be received directly from witnesses and victims rather than through intermediaries, OSINT can break down some of the barriers that have silenced some voices in traditional investigations and prioritised others. However, new issues arise with these types of investigations. The huge volume of evidence retrievable from social media can make it difficult for investigators to extract truly useful information. There are further issues of informational bias that can be attributed to algorithmic bias or to misinformation posted online, intended to obfuscate or exaggerate human rights abuses. By combining a unique multidisciplinary methodology, drawing on socio-legal, computer science, and...
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Methodology

Data collection period

01/09/2018 - 28/02/2021

Country

United Kingdom, Switzerland, Lebanon

Time dimension

Not available

Analysis unit

Individual

Universe

Not available

Sampling procedure

Not available

Kind of data

Text

Data collection mode

Semi-structured interviews were carried out with investigators with specific experience in open source investigations from a broad geographic range of UN human rights commissions of inquiry and fact-finding missions, as well as representatives from non-governmental human rights organisations who have conducted open source investigations as part of their work. Interviewees were chosen on the basis of their expertise in human rights fact-finding. This expertise was garnered on the basis of their role within the UN human rights system, their expert participation as investigators with recent UN human rights investigations (fact-finding missions, commissions of inquiry or other investigations), or on their expertise and role in open source human rights investigations with non-governmental organisations. Some interviewees were selected based on their prior connection with the researchers and the researchers' knowledge of their work in this field; others were recruited or identified through interviewees themselves (i.e. snowballing).

Funding information

Grant number

ES/R00899X/1

Access

Publisher

UK Data Service

Publication year

2021

Terms of data access

The Data Collection is available for download to users registered with the UK Data Service.

Related publications

Not available