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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...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
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.