Hi David, Not exactly what you’re looking for either but I wrote a paper about the Apple app store a few years ago that you might find useful: http://ijoc.org/index.php/ijoc/article/view/1904 Good luck, Luis - - - - - Dr. Luis E. Hestres Assistant Professor Department of Communication The University of Texas at San Antonio One UTSA Circle San Antonio, TX 78249-0732 http://www.luishestres.com<http://www.luishestres.com/> Want to support our tax deductible nonprofit work by contributing to the UTSA department of communication? Please visit: https://giving.utsa.edu/FriendsofCommunication Thanks for your support! On Apr 22, 2018, 8:16 PM -0500, Myles, David <myles.david@uqam.ca>, wrote: Hi everyone! I’m currently conducting a literature review on app store mining. I was wondering if any of you could recommend papers that use app store data (app product info and metadata, users’ reviews and ratings, app rankings). So far, I’ve identified quite a few papers from computer science that develop extracting tools and perform sentiment analysis (among others). I’m now searching for papers that look at this data from a social, communicational, or STS perspective (for example: what can users’ app reviews tell us about social norms of use?). Thanks for your help, David PhD Candidate, Université de Montréal Postdoctoral fellow, Digital Media Research Centre (QUT) _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/