RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
Introducing a method for the quantitative evaluation of open sources in event data
Ackerman, G. A., & Pinson, L. E. (2016). Speaking truth to sources: Introducing a method for the quantitative evaluation of open sources in event data. Studies in Conflict & Terrorism, 39(7-8), 617-640. https://doi.org/10.1080/1057610X.2016.1141000
Open-source event data sets frequently used for social science analysis rarely provide any transparent explanation of the credibility of sources or the validity of data thereby obtained. We develop a sample Source Evaluation Schema for the purpose of operationalizing measures of open-source event validity at the case, source, and variable levels. Based on our findings, we argue that explicitly incorporating and disclosing credibility and validity levels allows for greater flexibility in tailoring the inclusion of cases for researchers' specific analytical requirements. By facilitating more transparent analyses, the inclusion of such measures in similar datasets can result in more defensible conclusions, especially in highly charged political and security contexts such as those surrounding terrorism.