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Line 8: − − '''Partners:''' [https://MyDataVaud.ch MyData Vaud] and [https://personaldata.io personaldata.io] <br> − '''Start requesting your data''' now and be one step ahead: https://labs.letemps.ch/interactive/2020/demander-ses-donnees/ <br> − #Type in the box the dating app name you use<br> − #Copy-paste the message and email address<br> − #Send it and wait for your file <br> − Line 31:
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Line 45: − + − #+ − More info in this doc https://tinyurl.com/goaldatingdata Line 52:
Line 57: − + − How many apps are available? Maybe be restricted to Europe.<br>+ − + − # Digital methods project "Mapping data ecologies of the dating industry" https://docs.google.com/presentation/d/1n-p_efBmkK2v1KGCbHyHb_csmR6D7KN8SX3qron9Cn4/edit<br> − − # Tools to sample how many apps are in the Google and Play stores:<br> − "Google Play Store Scraper" is a simple tool to extract the details of individual apps, collect their related apps, retrieve app permissions, and retrieve a list of apps for a given keyword. <br> − "iTunes App Store Scraper"<br> − − − List apps per ranking, add ranking to every app following the table in the google doc <br> − Archive Privacy policies<br> + Line 77:
Line 74: − + − links can be found in the wiki<br>+ − maybe this is useful: Princeton-Leuven Longitudinal Corpus of Privacy Policies. Front-end here: https://privacypolicies.cs.princeton.edu/ghfront/ and the repository here: https://github.com/citp/privacy-policy-historical<br>+ Line 170:
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no edit summary
'''Contact e-mail:''' mailto:datingprivacy@personaldata.io<br>
'''Contact e-mail:''' mailto:datingprivacy@personaldata.io<br>
'''Meetings''' online at https://epfl.meet.switch.ch/dating-data<br>
'''Meetings''' online at https://epfl.meet.switch.ch/dating-data<br>
# Develop methodologies that allow for research without dependency on commercial platforms <br>
# Develop methodologies that allow for research without dependency on commercial platforms <br>
# Formalize the working group and project with an official legal entity <br>
# Formalize the working group and project with an official legal entity <br>
==Problematic Proposals==
==Partners==
'''Partners:''' [https://MyDataVaud.ch MyData Vaud] and [https://personaldata.io personaldata.io] <br>
==Good practices==
#'''Start requesting your data''' via this link https://labs.letemps.ch/interactive/2020/demander-ses-donnees/ <br>
a.Type in the box the dating app name you use<br>
b.Copy-paste the message and email address<br>
c.Send it and wait for your file <br>
# Download Exodus on your phone. It allows you to see the permissions you grant to a dating app<br>
# Configure your privacy settings on your dating app<br>
# Check out Mozilla privacy test on different dating apps<br>
# Request deleting your data on a dating app when you stop using the app via the settings or sending an email. It is not enough to uninstall the app<br>
==Problems Identified==
# Sharing personal data with third parties which is not necessary for the app functioning. The Grindr case study. Check third-parties that are the biggest players<br>
# Sharing personal data with third parties which is not necessary for the app functioning. The Grindr case study. Check third-parties that are the biggest players<br>
# Sexual harassment<br>
# Sexual harassment<br>
# Users are affected by malicious behaviours 1 and 2 so how are dating apps moderating this and protecting users via the analysis of their personal data?<br>
# Users are affected by malicious behaviours 1 and 2 so how are dating apps moderating this and protecting users via the analysis of their personal data?<br>
# Between 10-20% of users find a partner in France, Switzerland and United States. Do users really get the outcomes they want from the app in exchange for providing their data?<br>
# Between 10-20% of users find a partner in France, Switzerland and United States. Do users really get the outcomes they want from the app in exchange for providing their data?<br>
# Subscription rates changing according to user demographic characteristics (ex. Tinder)<br>
# Subscription rates change according to user demographic characteristics (ex. Tinder)<br>
==Members==
==Members==
== TO DO / On going==
== TO DO / On going==
'''Map the ecosystem'''<br>
'''Map the data ecosystem'''<br>
Next meeting define case study and methodology<br>
Add downloads per app in the wiki. Dating app list https://tinyurl.com/goaldatingdata<br>
https://wiki.digitalmethods.net/Dmi/ToolDatabase<br>
Permissions per app via Exodus<br>
Permissions per app via Exodus<br>
Add link to privacy policy<br>
Add link to privacy policy<br>
Defining the project scope<br>
Defining the project scope<br>
Organize media articles per data<br>
==Dating apps' list==
==Dating apps' list==
* Forum https://forum.personaldata.io<br>
* Forum https://forum.personaldata.io<br>
* Notes https://annuel2.framapad.org/p/dating-data-9kf7<br>
* Notes https://annuel2.framapad.org/p/dating-data-9kf7 (old notes) <br>
==Privacy Policies==
==Privacy Policies==
Links can be found in the wiki<br>
Princeton-Leuven Longitudinal Corpus of Privacy Policies. Front-end here: https://privacypolicies.cs.princeton.edu/ghfront/ and the repository here: https://github.com/citp/privacy-policy-historical<br>
==Partners/third parties==
==Partners/third parties==
Data Protection Commission launches Statutory Inquiry into MTCH Technology Services Limited (Tinder) https://www.dataprotection.ie/en/news-media/latest-news/data-protection-commission-launches-statutory-inquiry-mtch-technology<br>
Data Protection Commission launches Statutory Inquiry into MTCH Technology Services Limited (Tinder) https://www.dataprotection.ie/en/news-media/latest-news/data-protection-commission-launches-statutory-inquiry-mtch-technology<br>
==Data leaks/scandals==
==Data leaks and media scandals==
'''Ashley Madison'''<br>
'''Ashley Madison'''<br>
Ashley Madison Leak No Big Deal? Think Again https://www.makeuseof.com/tag/priority-ashley-madison-leak-no-big-deal-think/<br>
Ashley Madison Leak No Big Deal? Think Again https://www.makeuseof.com/tag/priority-ashley-madison-leak-no-big-deal-think/<br>
bbuzz 17: Anti-Spam and Machine learning at LOVOO
bbuzz 17: Anti-Spam and Machine learning at LOVOO
https://lovoodotblog.wordpress.com/2017/06/16/bbuzz-17-anti-spam-and-machine-learning-at-lovoo/<br>
https://lovoodotblog.wordpress.com/2017/06/16/bbuzz-17-anti-spam-and-machine-learning-at-lovoo/<br>
Digital methods project "Mapping data ecologies of the dating industry" https://docs.google.com/presentation/d/1n-p_efBmkK2v1KGCbHyHb_csmR6D7KN8SX3qron9Cn4/edit<br>
==Tools==
# Tools to sample how many apps are in the Google and Play stores:<br>
"Google Play Store Scraper" is a simple tool to extract the details of individual apps, collect their related apps, retrieve app permissions, and retrieve a list of apps for a given keyword. <br>
"iTunes App Store Scraper"<br>
https://wiki.digitalmethods.net/Dmi/ToolDatabase<br>
==List of apps with SAR==
==List of apps with SAR==