Literature Review - App Store Mining
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)
Hi David, This isn't exactly what you asked for but there's a nice piece by Daniel Greene and Katie Shilton about app production that may help ground your thinking http://journals.sagepub.com/doi/full/10.1177/1461444817702397 Platform privacies: Governance, collaboration, and the ...<http://journals.sagepub.com/doi/full/10.1177/1461444817702397> journals.sagepub.com Platform privacies: Governance, collaboration, and the different meanings of “privacy” in iOS and Android development Jenny L. Davis Lecturer, School of Sociology The Australian National University Co-Editor: Cyborgology<https://thesocietypages.org/cyborgology/> <https://twitter.com/Jenny_L_Davis> Twitter: @Jenny_L_Davis<https://twitter.com/Jenny_L_Davis> ________________________________ From: Air-L <air-l-bounces@listserv.aoir.org> on behalf of Myles, David <myles.david@uqam.ca> Sent: Monday, April 23, 2018 11:16:36 AM To: air-l@listserv.aoir.org Subject: [Air-L] Literature Review - App Store Mining 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/
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/
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/
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)
_______________________________________________ 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/ _______________________________________________ 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/
-- Alison Kenner, Ph.D Assistant Professor of Politics + Science, Technology & Society Philadelphia Health & Environment Ethnography Lab <http://www.pheel.info/> Drexel University <http://www.alikenner.com>
participants (5)
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ali kenner -
Gilad Ravid -
Jenny Davis -
Luis Hestres -
Myles, David