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Line 1: + + − − The idea of a "data collective" is to bring together individuals that have the same concern in a particular topic (dating) affected by how digital platforms collect their personal data and affect their lives.<br>
→Presentation
[[File:Datingprivacy.png|thumb|left]]
[[File:Datingprivacy.png|thumb|left]]
==Presentation==
==Presentation==
The idea of a "data collective" is to bring together individuals that have the same concern in a particular topic (dating) affected by how digital platforms collect their personal data and affect their lives.<br>
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. <br>
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. <br>
Members of the data collective Dating Privacy are using the 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 SARs, we can understand algorithmic amplification of societal stereotypes as well as their influence on human behaviors (sometimes offline). It is urgent to find solutions to cyberviolence and discrimination problems in a society of algorithmic “personalization” edging ever more towards polarization and fragility.<br>
Members of the data collective Dating Privacy are using the 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 SARs, we can understand algorithmic amplification of societal stereotypes as well as their influence on human behaviors (sometimes offline). It is urgent to find solutions to cyberviolence and discrimination problems in a society of algorithmic “personalization” edging ever more towards polarization and fragility.<br>
==History==
==History==