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) _______________________________________________ The [1]Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers [2]http://aoir.org Subscribe, change options or unsubscribe at: [3]http://listserv.aoir.org/listinf o.cgi/air-l-aoir.org Join the Association of Internet Researchers: [4]http://www.aoir.org/ -- =================================================== Anyone who stops learning is old, whether at twenty or eighty. ~Henry Ford Gilad Ravid, Ph.D Department of Industrial Engineering and Management Ben Gurion University of the Negev, Israel [5]http://www.ravid.org Mobile: +972-544-905-391 Office: +972-864-72772 Skype: giladravid References 1. mailto:Air-L@listserv.aoir.org 2. http://aoir.org/ 3. http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org 4. http://www.aoir.org/ 5. http://www.ravid.org/