Hi David, I have an article and a book chapter that uses app store data to review mobile asthma apps. The article is "Asthma on the Move: How Mobile Apps Remediate Risk for Disease Management," in Health, Risk, and Society. https://www.tandfonline.com/doi/abs/10.1080/13698575.2015.1136408 I looked at more than 300 apps between Google Play and Apple's App Store, and analyzed different categories of data available through both stores. I did a more in-depth analysis of about two dozen apps from there. Happy to talk more as well, since not all the data and analysis made it into that paper. All the best, Ali On Fri, Apr 27, 2018 at 2:22 AM, Gilad Ravid <gilad@ravid.org> wrote:
Fink, L., Rosenfeld, L., & Ravid, G. (2018). Longer online reviews are not necessarily better. International Journal of Information Management, 39, 30-37. lookes on the relationships between review length and app success in Goolge play and Amazon App store for free and paid apps Gilad
On 04/23/2018 04:16 AM, Myles, David wrote:
Hi everyone!
I’m currently conducting a literature review on app store mining. I was wonderin g 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 identifie d quite a few papers from computer science that develop extracting tools and per form sentiment analysis (among others).
I’m now searching for papers that look at this data from a social, communication al, or STS perspective (for example: what can users’ app reviews tell us about s ocial norms of use?).
Thanks for your help, David PhD Candidate, Université de Montréal Postdoctoral fellow, Digital Media Research Centre (QUT)
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Gilad Ravid, Ph.D Department of Industrial Engineering and Management Ben Gurion University of the Negev, Israel
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