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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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The limitations of automating OSINT : understanding the question, not the answer

Weir, George R.S. (2015) The limitations of automating OSINT : understanding the question, not the answer. In: Automating Open Source Intelligence. Elsevier, Waltham, MA., pp. 159-169. ISBN 9780128029169

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Abstract

Answering key questions on matters of fact, such as whether a particular individual was employed by a named organization at a specific point in time, is easy if one has access to relevant data, for example, company financial records, income tax returns, or details of bank account transactions. For good reasons, such data are not widely accessible without authorization. In contrast, open source information may be unrestricted and free to access by interested parties. Whether such readily accessible data will prove helpful in determining an answer to such questions of fact as our aforementioned employment query is far from certain. The availability of relevant data is not assured. The desired information may simply be unavailable. If it is available, there is no assurance that the enquirer can successfully negotiate the required technology, adequately specify the desired information, and retrieve the data. In this chapter, the limitations of open source intelligence (OSINT) are described and outlined with reference to the risks around interpreting results from automated algorithms.