Project:Dating Privacy

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Presentation

The idea of a "data collective" is to bring together people that have the same concern about data in a particular topic.

At Dating Privacy collective we seek to understand how dating apps collect our personal data (e.g., age, sexual preferences, messages, emotions) and can affect our lives while dating but also beyond, for example while moving in the public space to meet somebody face to face, our geolocation is used by companies for unclear purposes.

Members of the data collective Dating Privacy are using the data access right to fight against the risks associated with the use of dating apps, to increase the algorithmic transparency of matching systems, and to highlight their discriminatory effects.

We are for instance interested in understanding algorithmic effects in situations of cyberviolence, exclusion, or socio-economic discriminations on the basis of our digital identities and behaviors. From the data obtained through Subject Access Requests, we can understand algorithmic amplification of societal stereotypes as well as their influence on human behaviors (sometimes offline).

It is urgent for us to find solutions to cyberviolence and discrimination problems in a society of algorithmic “personalization” edging ever more towards polarization and fragility.

In other words, we are a community repurposing the use of data collected "for matches" for our own good.

Dating Privacy aims to contribute with better development standards and user practices on dating apps that match the users' interests and protect their intimate life.

History

Dating Privacy is a community we have started after identifying several privacy risks we, as dating app users, are confronted with when looking for a date online: algorithmic discriminations and exclusion, stereotype reinforcement, cyberviolence (sexual harassment, rapes facilitated by apps), unwanted ads, harms resulting from incorrect profiling and predictions, the possibility of phishing and identity theft.

Dating Privacy is a collective formed by members coming from different countries and disciplines (mathematics, sociology, journalism, law, arts, physics) and foreparts (academia, private, independent, citizen NGO).

Watch the Dating Privacy Collective Launch: Our Plan To Change the ‘Data for Dates’ Paradigm – held on Friday 12th Feb at 7:30 pm (CET)
Link to the presentation https://tinyurl.com/20210212datingprivacy
Meetup event: https://www.meetup.com/tech4goodLIN/events/276275535/
Linkedin event https://www.linkedin.com/events/datingprivacy-collectivelaunch-6765208415816974336/about/

UPCOMING Events

Objectives

Dating Privacy seeks to bring together users' practices with dating app companies to improve personal data collection and processing for the sake of privacy and data rights.

  1. Build a community with civil society about dating apps' personal data rights
  2. Raise awareness about personal data concerns in dating apps
  3. Facilitate users' personal data requests and analysis with tools for data literacy
  4. Create a cartography of personal data (wiki data structures extracted from the SARs)
  5. Develop research methodologies that respect personal data rights and contribute with end users' concerns

Contact and Online Activity

- E-mail mailto:datingprivacy@personaldata.io
- Twitter @datingprivacy
- Meetings Online [1] Next one on December 9, 2021 at 19h (CET)
- Subscribe to our mailing list via our website https://dating-privacy.hestialabs.org/en/
- Signal Group where you can debate, share knowledge, find help and help others -> Send us an email to join
- Website https://dating-privacy.hestialabs.org/en/

Before joining please read our Code of Conduct [2] available at the bottom of this wiki.

Our collective is dedicated to providing a safe, friendly, respectful, comfortable environment and harassment-free experience for everyone. We do not tolerate harassment of collective members in any form. Collective members violating these rules may be sanctioned or expelled from the collective at the discretion of the collective's committee.

Latest Dating Privacy News

06.10.2021 Les experts d’HestiaLabs offrent leurs compétences contre l’exploitation abusive des data https://www.ictjournal.ch/news/2021-10-06/les-experts-dhestialabs-offrent-leurs-competences-contre-lexploitation-abusive-des

Partners

personaldata.io
MyData Vaud
Hestialabs

Recommended practices

1/ Start requesting your data via this link https://labs.letemps.ch/interactive/2020/demander-ses-donnees/ - Type in the box the dating app name you use
- Copy-paste the message and email address
- Send it and wait for your file

Why we should all request our personal data https://hestialabs.org/en/blog/editorial/ask-for-your-data/

2/ Already requested your data and received a file? Contribute with the wiki and map what your dating app collects: https://wiki.personaldata.io/wiki/Item:Q3569
3/ Are you an Android phone user? Download Exodus Privacy helps you to know which trackers and permissions are embedded in dating apps installed on your device.
4/ Configure your privacy settings on your dating app.
5/ Check out Mozilla privacy test on different dating apps
6/ 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

Problems Identified

APP

  1. Subscription rates change according to user demographic characteristics (ex. age on Tinder, sex on Hinge). Prices are invisible outside the app
  2. Sharing personal data with third parties which is not necessary for the app functioning (ex. for advertisement, see The Grindr case study) and for other purposes unknown (ex. the muslim app providing data to the american army)
  3. Background geolocation when the app is closed
  4. Automatic subscription renewal without notification, when there is a problem you have to contact the headquarter in another country
  5. Fake profiles created by the company (ex. ashley madison, Lovoo), buying profiles
  6. 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? Are users retained in the app?
  7. The app ignores settings for presenting results (ex. show me only women and the user sees men)
  8. Users are banned without any reason given by the app
  9. One user said it has zero matches on Tinder
  10. Data leaks because of security breaches, the app did not protected the data properly
  11. Blocking or reporting harmful users that appear again in the victim's app results and the company does not provide any solution or justification

Other USERS

  1. Scams, phishing, fake profiles. Users are affected by malicious user behaviours so how are dating apps moderating this and protecting users via the analysis of their personal data?
  2. Rape and harassment: when "unmatching" on Tinder, the conversations and the profile are deleted for the victim. The victim loses the data to report, see https://pages.rts.ch/emissions/temps-present/11994345-le-camp-de-la-honte-aux-portes-de-leurope-08-04-2021.html?anchor=12111124#12111124

If you had a negative experience on a dating app, do not delete your account, take print screens of any conversation online and save the pictures shared with the person. Make a SAR [3] and contact us to help you recover your personal data if the company does not cooperate with you

Members

  1. Jessica Pidoux works on revealing biases in Tinder's secretive matching algorithms.shttps://jessicapidoux.info/ Pidoux
  2. Paul-Olivier Dehaye obtained the first personal data file from Tinder along with author Judith Duportail https://bit.ly/3cUOyTB Podehaye
  3. Marie-Pierre maps the dating app ecosystem and delves into dating app patents Genferei
  4. Frank has revealed privacy risks on Hinge and is currently being messed around by Hinge, Bumble and Tinder having asked for his data https://bit.ly/2J8mKOo Frandrews
  5. Judith H. digs into regulation policies and howonline dating interacts with collective practices and communities

Ongoing Projects

Description planning in progress complete who
Geneva student projects x MP, JH, JP, PO
Tool development, collaboration with Graasp x JP
Prepare TRUSTS project x JP, JH, MP
Defining the project scope with Hestia x JP
Create and publish newsletter x JP, MP
Q&A for our website x JH
Data analysis workshop with Hestia x MP, JP, CF
Cours Transversal numérique UNIGE x MP, JP

Want to submit a project? We are open to new ideas! Write us at mailto:datingprivacy@personaldata.io

Dating app list

  • Wiki

-->list of dating apps available on this wiki with ranking on apple and Android

-->list of dating apps available on wikidata

Top charts

top charts in France https://sensortower.com/android/rankings/top/phone/france/dating?date=2021-04-23

top charts in CH https://sensortower.com/android/rankings/top/phone/switzerland/dating?date=2021-04-23

top charts in UK https://sensortower.com/android/rankings/top/phone/great-britain/dating?date=2021-04-23

Privacy Policies

Links can be found in the wiki

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

“Out Of Control” – A Review Of Data Sharing By Popular Mobile Apps published in January 2020
see Technical report https://fil.forbrukerradet.no/wp-content/uploads/2020/01/mnemonic-security-test-report-v1.0.pdf
report https://fil.forbrukerradet.no/wp-content/uploads/2020/01/2020-01-14-out-of-control-final-version.pdf
Complaint letters https://www.forbrukerradet.no/side/complaints-against-grindr-and-five-third-party-companies/

PUbMatic
LUMAscape https://www.okanjo.com/blog/2016/12/14/ssp-dsp-dmp-rtb-wtf

Patents

List of Match Group patents: https://policies.tinder.com/intellectual-property/intl/en
Tinder Patents: 

  number={US20160154569 A1},
  author = {Rad, Sean and
            Carrico, Todd M. and
            Hoskins, Kenneth B and
            Stone, James C.},
  url = {https://worldwide.espacenet.com/publicationDetails/biblio?II=0&ND=3&adjacent=true&locale=en_EP&FT=D&date=20160602&CC=US&NR=2016154569A1&KC=A1#}, 
  title = {Matching Process System And Method}, 

  number={US9733811B2},
  author = {Carrico, Todd M. and
            Hoskins, Kenneth B and
            Rad, Sean and
            Stone, James C. and
            Badeen, Jonathan},
  url = {https://worldwide.espacenet.com/patent/search/family/050234419/publication/US10203854B2?q=pn\%3DUS10203854B2}, 
  title = {Matching Process System And Method},

Match Group
SYSTEM AND METHOD FOR USER COMMUNICATION IN A NETWORK 
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2020137019A1&KC=A1&FT=D&DB=en.worldwide.espacenet.com&locale=en_EP&date=20200430&rss=true#

Hinge: Brevet publié en 2013 puis abandonné, jamais délivré. https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2013066972A1&KC=A1&FT=D&ND=3&date=20130314&DB=EPODOC&locale=en_EP#

Facebook Dating: https://worldwide.espacenet.com/searchResults?submitted=true&locale=en_EP&DB=en.worldwide.espacenet.com&ST=advanced&EXTFTXT=%22dating+service%22&PN=&AP=&PR=&PD=&PA=facebook&IN=sharp&CPC=&IC=

Media Audiovisual

19.01.2022, France 2 L'amour sous algorithme https://www.francetvpro.fr/contenu-de-presse/26119382
4 nov 2021, RTS Temps présent Les prédateurs sexuels chassent en ligne https://www.rts.ch/play/tv/redirect/detail/12617904
4 janv. 2021 "Amour : la fin de l'engagement ? - Vox Pop - ARTE" https://www.youtube.com/watch?v=jOiaY7PUxz4
1 nov 2018, RTS Temps présent "Arnacoeurs, les escrocs de l'amour en ligne" https://www.rts.ch/play/tv/redirect/detail/9963350

Media Press

2022
26.02.2022 « Je préfère ne pas faire de rencontre que de passer par ces applis » : ils ont la vingtaine et ont quitté Tinder https://www.lemonde.fr/m-le-mag/article/2022/02/26/je-prefere-ne-pas-faire-de-rencontre-que-de-passer-par-ces-applis-ils-ont-la-vingtaine-et-ont-quitte-tinder_6115300_4500055.html#xtor=AL-32280270-[default]-[android]
25.02.2022, "Des soldats russes tentent de matcher avec des Ukrainiennes sur Tinder" https://www.vanityfair.fr/actualites/article/des-soldats-russes-tentent-de-matcher-avec-des-ukrainiennes-sur-tinder
Feb. 21, 2022, "Crypto Scammers’ New Target: Dating Apps: https://www.nytimes.com/2022/02/21/technology/crypto-scammers-new-target-dating-apps.htmlbr>
2021

2020

2019


2018


2017

2016

to organize by date

Dating Privacy / Jessica Pidoux Media, Events, Conferences

MEDIA
2022

2021

Earlier

Conferences
2022

diffusion sur twitch https://www.twitch.tv/nextgaymeroff vidéo disponible ici https://www.twitch.tv/videos/1476481408

2021

Date: 20 avril 2021, de 18:00 à 20:00 UTC+2 - En ligne https://www.meetup.com/fr-FR/UX-Schweiz-Meetup-Bern/events/276247238/

  • 27 September 2021. Conference Track: Participatory Evaluation in Citizen Science - 1st Global Transdisciplinarity Conference 2021. "Cooperation Analytics Measuring the quality of collaborations" Jessica Pidoux et Alessia Smaniotto

Studies conducted scrapping dating app profiles

Legal

Tinder Annual report: Tinder on-going accusations. The Irish DPC case, also prices can vary according to users' age https://s22.q4cdn.com/279430125/files/doc_financials/2019/ar/Match-Group-2019-Annual-Report.pdf
My GDPR Complaint Against Tinder https://forum.personaldata.io/t/my-gdpr-complaint-against-tinder/70
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

Data leaks and media scandals

Ashley Madison
Ashley Madison Leak No Big Deal? Think Again https://www.makeuseof.com/tag/priority-ashley-madison-leak-no-big-deal-think/
Les résultats de Grindr révélés grâce au scandale Ashley Madison "Grindr a eu des revenus résultant à la fois des abonnements et de la publicité de près de 16 millions de dollars en 2012" https://www.fugues.com/243577-article-les-resultats-de-grindr-reveles-grace-au-scandale-ashley-madison.html

OkCupid:
Here is a mirror for the OKCupid OSF Emil Kirkegaard dataset https://www.reddit.com/r/datasets/comments/4jj53i/here_is_a_mirror_for_the_okcupid_osf_emil/
Researchers Caused an Uproar By Publishing Data From 70,000 OkCupid Users https://fortune.com/2016/05/18/okcupid-data-research/
Controversy over OKCupid keynote at CHI 2018 https://www.reddit.com/r/sciences/comments/8edxm3/controversy_over_okcupid_keynote_at_chi_2018/

Grindr:
Données privées : le site de rencontres Grindr mis en cause https://www.lemonde.fr/pixels/article/2018/04/03/donnees-privees-le-site-de-rencontres-grindr-mis-en-cause_5279794_4408996.html

Lovoo
LOVOO’s CEO Benjamin Bak resigns https://inside.lovoo.com/en/lovoos-ceo-benjamin-bak-resigns-2/

happn
En détournant l’app Happn, un hacker peut tracer votre chemin en temps réel https://cyberguerre.numerama.com/5827-en-detournant-lapp-happn-un-hacker-peut-tracer-votre-chemin-en-temps-reel.html

MobiFiends Barcelona Based dating app, user data breach https://www.infosecurity-magazine.com/news/data-breach-exposes-four-million/

coffee meets Bagel 2019,Happy Valentine’s Day: your dating app account was hacked, says Coffee Meets Bagel https://techcrunch.com/2019/02/14/happy-valentines-day-your-dating-app-account-was-hacked-says-coffee-meets-bagel/

J crush 2019, Jewish dating app JCrush exposed user data and private messages https://techcrunch.com/2019/06/04/jcrush-exposed-data-messages/

Donal Daters 2018, Donald Daters, a dating app for Trump supporters, leaked its users’ data https://techcrunch.com/2018/10/15/donald-daters-a-dating-app-for-trump-supporters-leaked-its-users-data/

Meet Mindful 2021, Hacker leaks data of 2.28 million dating site users a dating site platform "for people who are into health, well-being, and mindfulness" https://www.zdnet.com/article/hacker-leaks-data-of-2-28-million-dating-site-users/

3somes, CougarD, Gay Daddy Bear, Xpal, BBW Dating, Casualx, SugarD, Herpes Dating 2020, Report: Breach Exposes 100,000+ Users on Niche Dating Apps https://www.vpnmentor.com/blog/report-dating-apps-leak/

Fessées, menottes, bondage : les préférences sexuelles de 20 000 Français fuitent d’un forum Forum "Domi" reportedly related as subsidiary to self claimed fintech group BD Multimedia https://cyberguerre.numerama.com/4925-fessees-menottes-bondage-les-preferences-sexuelles-de-20-000-francais-fuitent-dun-forum.html

Wikipedia source: https://privacy.wiki/Dating_Apps_User_Information_Leaked_Online

References with databases

Rosenfeld, Michael J., Reuben J. Thomas, and Sonia Hausen. 2019 How Couples Meet and Stay Together 2017 fresh sample. [Computer files]. Stanford, CA: Stanford University Libraries.
The OKCupid dataset: A very large public dataset of dating site users https://www.researchgate.net/project/The-OKCupid-dataset-A-very-large-public-dataset-of-dating-site-users
- Full paper: https://web.archive.org/web/20200728135539/https://openpsych.net/files/papers/Kirkegaard_2016g.pdf

Surveys

Tinder usage statistics: https://www.businessofapps.com/data/tinder-statistics/\#2
Pew Research Center (Feb 2020): The Virtues and Downsides of Online Dating. Retrieved from https://www.pewresearch.org/internet/2020/02/06/the-virtues-and-downsides-of-online-dating/
Swiss Federal Statistical Office (Nov 2019): Families and Generations Survey. Retrieved from https://www.bfs.admin.ch/bfs/fr/home/statistiques/population/enquetes/efg.assetdetail.10467789.html
INED France (2016) https://www.ined.fr/fr/publications/editions/population-et-societes/sites-rencontres-qui-y-trouve-son-conjoint/
Roughly six-in-ten online daters in the U.S. are concerned about data collection (May 29, 2020) https://www.pewresearch.org/fact-tank/2020/05/29/roughly-six-in-ten-online-daters-in-the-u-s-are-concerned-about-data-collection/
Survey in Germany (2017) https://www.splendid-research.com/de/studie-dating-portale.html

Academic References

2021, Hermine Lacour, Thèse doctorale: Les composants logiciels libres : détermination d’une méthode systématique relative à la distribution de composants, au regard des droits suisse, français et étasunien, https://libra.unine.ch/Publications/47788
2021, Jessica Pidoux, thèse doctorale: Online Dating Quantification Practices: A Human-Machine Learning Process, https://infoscience.epfl.ch/record/288400?ln=fr

Technical references

An Evidence‐based Forensic Taxonomy of Windows Phone Dating Apps https://onlinelibrary.wiley.com/doi/full/10.1111/1556-4029.13820
Privacy Risks in Mobile Dating Apps https://arxiv.org/abs/1505.02906
Technical report by mnemonic with the Norwegian consummer assoc showing data trading and GDPR compliance coded: https://fil.forbrukerradet.no/wp-content/uploads/2020/01/mnemonic-security-test-report-v1.0.pdf
Tinder engineering blog: https://medium.com/tinder-engineering/
TinVec explanation by Tinder's Chief Scientist at Machine Learning Conference: https://youtu.be/j2rfLFYYdfM
Happn by exodus: https://reports.exodus-privacy.eu.org/en/reports/com.ftw_and_co.happn/latest/
OkCupid engineering website: Evaluating Perceptual Image Hashes at OkCupid https://tech.okcupid.com/evaluating-perceptual-image-hashes-okcupid/
How OkCupid organizes its multi-page React app https://tech.okcupid.com/how-okcupid-organizes-its-multi-page-react-app/
Lovoo engineering: dotGo 2016: Go machine learning at large scale https://lovoodotblog.wordpress.com/2016/11/01/dotgo-2016-go-machine-learning-at-large-scale/
Lovoo github: https://github.com/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/
Digital methods project "Mapping data ecologies of the dating industry" https://docs.google.com/presentation/d/1n-p_efBmkK2v1KGCbHyHb_csmR6D7KN8SX3qron9Cn4/edit

Data Literacy & Cooperative Tools

  1. realtalkforchange https://portal.realtalkforchange.org/
  2. Tracking dick picks https://dickstinction.com/en/
  3. Pythus: un projet pour analyser les dangers des applications Android https://www.nextinpact.com/article/45976/pithus-projet-pour-analyser-dangers-applications-android
  4. https://app.quicktype.io/
  5. https://digitalplatformobservatory.org/lapp-dpo/
  6. https://graasp.eu/
  7. https://bevigil.com app metadata, permissions, ...
  8. Cookieviz, une dataviz en temps réel du tracking de votre navigation créé par le CNIL https://linc.cnil.fr/fr/cookieviz-une-dataviz-en-temps-reel-du-tracking-de-votre-navigation
  9. Tools to sample how many apps are in the Google and Play stores: "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." https://wiki.digitalmethods.net/Dmi/ToolDatabase ex:Google Play Store Scraper http://tools.digitalmethods.net/app-scrapers/#/google for login ask MP
  10. Doc example of how to read data exports https://slack.com/intl/en-ch/help/articles/220556107-How-to-read-Slack-data-exports
  11. The observatory of anonymity https://cpg.doc.ic.ac.uk/observatory/analyze-your-data
  12. RDM kit: online guide and tools containing good data management practices applicable to research projects https://rdmkit.elixir-europe.org/all_tools_and_resources.html
  13. Lookup popular software licenses summarized at-a-glance https://tldrlegal.com/
  14. http://corrupt.marketing/publishers/grindr.com
  15. https://app.quicktype.io/
  16. Outil PIA- CNIL https://www.cnil.fr/fr/outil-pia-telechargez-et-installez-le-logiciel-de-la-cnil
  17. GDPR Data Portability https://cellar-c2.services.clever-cloud.com/alias-code-is-law-assets/static/report/gdpr_data_portability_the_forgotten_right_report_full.pdf
  18. APIs and tools to help Developers and DPOs to manage GDPR compliance at scale https://www.alias.dev/
  19. heroku https://www.heroku.com/
  20. open humans
  21. art tools: https://www.brainstore.com/en/tools-summary
  22. pithus: https://beta.pithus.org/report/226d01d9645270283cfbd056e8021032d06ae29b4212afc81fa5552a133222da
  23. NYT viz: https://www.nytimes.com/interactive/2020/04/28/world/asia/coronavirus-singapore-migrants.html?smid=tw-nytimes&smtyp=cur
  24. https://fr.openfoodfacts.org
  25. https://correctiv.org/crowdnewsroom-pro/
  26. exodus privacy
  27. algorithmwatch -https://algorithmwatch.org/de/dataskop/
  28. madada
  29. https://ucldigitalpress.co.uk/Book/Article/76/100/5736/
  30. https://www.peren.gouv.fr/projets/
  31. (In progress) a 1M EU project: https://csi-cop.eu/
  32. TrackerControl https://play.google.com/store/apps/details?id=net.kollnig.missioncontrol.play&hl=en_US&gl=US
  33. Plaintes.ch
  34. NosLois https://www.sciencespo.fr/fr/actualites/actualit%C3%A9s/a-la-recherche-d-une-democratie-participative-decouvrez-l-application-noslois/6831
  35. Plateforme PARle - Canada
  36. Open terms archive : french gov tool - repo of versions of terms of services + notification service https://wiki.personaldata.io/wiki/Item:Q5379
  37. Facial recognition https://pypi.org/project/face-recognition/
  38. Tinder bot without collecting personal data: he bot is to automate swipes With a word whitelist and blacklist

He has made a list of keywords that interest him, the bot searches if there is one of the words present in the bio If yes it swipes otherwise it goes into the negative keyword list and if there is one it goes to another https://github.com/Xia0ben/TBot

  1. Data schemas by Hestia to show all data collected by apps https://github.com/hestiaAI/data-catalog, check out Grindr data schema rdfshape.herokuapp.com/schemaInfo?schemaURL=https%3A%2F%2Fraw.githubusercontent.com%2FhestiaAI%2Fdata-catalog%2Fmain%2Fshex%2Fgrindr.shex&schemaFormat=ShExC&schemaEngine=ShEx

Changes to terms of service, cookies and privacy policy

Partnership with OpenTerms Archive https://opentermsarchive.org/en.

This service allows to follow the changes to terms of service, cookies policy, privacy policy,... by being notified whenever a new version is published, and exploring their entire history.

See the different apps available here: https://github.com/OpenTermsArchive/services-dating

If you want to monitor another dating service, go to https://contribute.opentermsarchive.org/en?destination=OpenTermsArchive/services-dating and fill the URL you want to track

Link to track changes for dating apps

For a specific dating app

List of apps for which we have obtained our data after a SAR

App Female* user Male* user Country file format
Adopteunmec 2 0 CH ; FR json
Badoo 1 0 CH json, zip, jpeg, txt
Bumble 1 0 CH html, zip (il y a quelques années)
happn 1 0 CH csv, zip, json, audio, photos (jpeg), gz
HER 1 0 CH different csv.zip, jpeg,
Once 1 0 CH html, jpeg,
Parship 1 0 CH pdf, zip, csv, zip, text, photos,
PlanetRomeo 0 1 CH pdf.zip, json, yaml, jpeg,
Scruff 0 1 CH zip, ds_file, xml, csv, .md, image,
Grindr 0 1 CH zip, image,
Tinder 1 1 CH json, zip, html, jpeg
celibataire.ch 1 0 CH does not provide a file
WOO 0 0 -
  • We make the distiction between female and male users only as the majority of dating apps are designed according to a binary defintion of sex and the gender definitions are limited

Catalog describing data formats: https://github.com/hestiaAI/data-catalog

TO DO

Description planning in progress complete who
*Map the data ecosystem x all
*Next meeting Define the case study with questions we want to analyse x
*Add downloads per app in the wiki. x
*Add ranking per app in CH, FR, UK the wiki. x J, MP
*Dating app list https://tinyurl.com/goaldatingdata
*Add link to privacy policy x
*Add examples of silver dating apps (ref Le Monde) x MP
*Add examples of community apps x MP
*Check if policy documents are the same in different languages FR, EN, ... ( i.e TikTok doesn't)
*Organize media articles per data
*Develop tools for data literacy
*Define the methodology: data protection protocol and data collection and analysis method (EPFL Grasp tool or other?)
*Data analysis x
*Patent search and analysis MP?
*Privacy policies analysis
*Email us other ideas you have for contributing x all
*Publish launch video x J
*Communicate regularly X F
*Keep updated mailing list subscribers x
*Create a website x
*Document our tests in the apps
*Document SAR procedures x H
*Write ethical chart + privacy policy x H
Contact sexual victim's associations x J
*Check for subcontractors who wiil back-up the data H

Fundraising

  1. EU CITIZEN SCIENCE https://eu-citizen.science/blog/2021/07/19/monthoftheproject-winner-amai/
  2. TRUSTS
  3. COESO
  4. EMILIE GOURD http://www.emiliegourd.ch/demander-un-soutien (limited to 5K)
  5. STIFTUNG MERCATOR (DE) https://www.stiftung-mercator.ch/stiftung/f%C3%B6rderung
  6. CIVICA https://www.civica.eu/2022-research-call/
  7. Data Trusts Initiative
  8. CLUSTER EU https://ec.europa.eu/info/research-and-innovation/events/upcoming-events/horizon-europe-info-days/cluster-2_en
  9. EU research: https://www.euresearch.ch/
  10. EU research and Cluster https://www.euresearch.ch/en/our-services/inform/events/culture-creativity-and-inclusive-society-calls-2022-in-horizon-europe-info-and-brokerage-event-443.html
  11. Digital Europe: https://digital-strategy.ec.europa.eu/en/activities/digital-programme
  12. COST SNF MAY: https://www.snf.ch/fr/EpxgsoxjZBQv6id1/encouragement/programmes/cost
  13. innosuisse, eurostars https://www.innosuisse.ch/inno/en/home/go-global/tenders-overview.html
  14. starting grants 2022 https://www.snf.ch/fr/w728UqT1Yw256Mz2/encouragement/snsf-starting-grants-2022 février 2022 "Vous avez au moins 3 ans d’expérience dans la recherche"
  15. BRIDGE 6 déc, innovation proof of concept https://www.bridge.ch/fr/pour-les-jeunes-chercheuses-et-chercheurs-proof-of-concept/
  16. SNSF Swiss Postdoctoral Fellowships (SPF) https://www.snf.ch/de/api/media/fr/CJhQjHq9BdUdOrFB/210924_call_document_swiss_postdoctoral_fellowships_en.pdf#page=3
  17. AGORA 15 octobre https://www.snf.ch/fr/JnT2xEAERCgO8qQc/encouragement/communication-scientifique/agora
  18. Encouragement des projets 1 octobre https://www.snf.ch/fr/WAvYcY7awAUGolST/encouragement/projets/projets-toutes-les-disciplines

Code of Conduct

This code of conduct (coc) is based on Queer code's coc [4] distributed under a Creative Commons Attribution-ShareAlike license. We adapted it to our context and thank Queer code for this work.

A primary goal of all the interactions and messaging groups of our collective Dating Privacy that refer to this Code of Conduct is to be inclusive to the largest number of contributors, with the most varied and diverse backgrounds possible. As such, we are committed to providing a respectful, friendly, safe, comfortable and welcoming environment for all, regardless of gender, sexual orientation, physical appearance, body size, technological choices, lack of scientific or technical knowledge, ability, ethnicity, socioeconomic status, religion (or lack thereof) and other personal conditions and choices.

This Code of Conduct outlines our expectations for all those who participate in our collective, as well as the consequences for unacceptable behavior.

We invite all those who participate in our discussions and projects to help us create learning-positive experiences for everyone.

Don’t be scared off by these rules! They are in place to protect us, not to intimidate people from interacting with each other in a positive manner.

This code of conduct is open to any suggestions and criticism: we are happy to improve it.

Expected Behavior

  1. Participate in an authentic and active way. In doing so, you contribute to the health and longevity of this collective.
  2. Exercise consideration and respect in your speech and actions.
  3. Attempt collaboration and understanding before confrontation and conflict.
  4. Refrain from demeaning, discriminatory, or harassing behavior and speech.
  5. Avoid making negative assumptions. If you aren’t aware of what someone’s intentions are, what someone's gender is, and you can’t figure it out, just ask clarification questions privately.
  6. Do not judge one's lack of knowledge or expertise. We all come from different disciplinary and cultural backgrounds and we are all rich in myriad experiences. It is common to not know everything, sometimes it can be a matter of language or communication.
  7. Rephrase your ideas or try to explain them in a different way so everyone can understand.
  8. Be patient. We are here to exchange and help each other but we do it in a volunteer basis so our availability is limited. More importantly, we privilege reflexive answers and not reactivity. And we might not have the answer to your question!
  9. Respect the plurality of points of view that makes us a strong collective. We discuss about sensitive subjects in relation to politics, technologies, health and sexuality that not everyone has the same opinion about it.
  10. Please ask before touching anyone at our events, like hugging. It’s easy, and the worst thing that happens is someone says no. You might not know what makes some people uncomfortable, but it does, so please ask first.
  11. Be mindful of your surroundings and the other participants. Alert Jessica Pidoux via email [5] if you notice a dangerous situation, someone in distress, or violations of this Code of Conduct, even if they seem inconsequential.

Unacceptable Behavior

Unacceptable behaviors include: intimidating, harassing, abusive, discriminatory, intentional misgendering, derogatory or demeaning speech or actions by any member or participant in our collective online, at all related events and in one-on-one communications carried out. Collective event venues may be shared with members of the public; please be respectful to all patrons of these locations.

Harassment includes:

  1. harmful or prejudicial verbal or written comments related to gender, trans status, sexual orientation, physical appearance, body size, technological choices, lack of technical knowledge, ability, ethnicity, socioeconomic status, religion (or lack thereof) and other personal conditions and choices
  2. trolling, i.e. sustained disruption of conversations, talks or other events
  3. nonconsensual photography or recording
  4. inappropriate use of nudity and/or sexual images in public spaces (including presentation slides)
  5. deliberate intimidation, stalking or following
  6. nonconsensual physical contact
  7. unwelcome sexual attention
  8. microaggressions, i.e. small, subtle, often subconscious actions that marginalize people from oppressed groups
  9. minimizing other people’s experiences

We have no discussion about how your behaviour was meant. What we care about is how it makes our participants feel. Please just respect that if one of the members is hurt by your behaviour, it is on you to change it or leave. Otherwise, collective leaders can decide on your expulsion.

Please also be aware that many of us have had to explain ourselves a lot and it’s not fair to assume that everybody has time and energy to give you explanations about how they feel. If you have questions, feel free to ask, there may be volunteers around to help you answer it or recommend some reading material.

Consequences of Unacceptable Behavior

Unacceptable behavior from any Dating Privacy collective member, including sponsors and those with decision-making authority, will not be tolerated. Anyone asked to stop unacceptable behavior is expected to stop immediately.

If a collective member engages in unacceptable behavior, the collective leaders may take any action they deem appropriate, up to and including a temporary ban or permanent expulsion from the collective without warning (and without refund in the case of a paid event or membership).

If you are subject to or witness unacceptable behavior, feel someone is being treated disrespectfully, or have any other concerns, point out the problem to any member you feel comfortable talking to as soon as possible. If you don’t know who to talk to, contact Jessica Pidoux via email [6].

If you feel you have been falsely or unfairly accused of violating this Code of Conduct, you should notify one of the event organizers, Jessica Pidoux via email [7] or in person with a concise description of your grievance. Your grievance will be handled in accordance with our existing governing policies.

Scope

We expect all collective members and participants (contributors, paid or otherwise; sponsors; and other guests) to abide by this Code of Conduct in all collective venues—online and in-person—as well as in all one-on-one communications pertaining to collective activities.

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