Matthieu Renault’s research while affiliated with Fondation Maison des Sciences de l'Homme and other places

... plusieurs années (Macilotti 2015 ; rapport ONU 2014), l'usage effectif du système mis en place est loin d'être efficace. En effet, dans le cadre de nos recherches, nous avons pu observer un phénomène qui montre les limites de ces politiques : chez les migrants -aussi bien les nouveaux arrivants que ceux qui sont installés en France depuis plusieurs années -la tendance est d'aller à la recherche d'une interaction avec un représentant institutionnel ou de la société civile plutôt qu'engager une interaction personne-machine (voir Kluzer & Haché 2009). Les extraits des interactions que nous avons analysés illustrent justement cette tendance, ainsi que les obstacles rencontrés dans la réalisation de procédures ou de recherche d'informations liées aux droits sociaux sur Internet (comme le raconte l'usager de l'extrait 1). ...

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« Go Internet it’s here » : démarches administratives de personnes précaires ou en demande d’asile

... Men are the prime users of the Internet and in a most pronounced way, in Middle Eastern dating and chat sites-the topic in which we are most interested in this paper. In fact, in a survey of subscribers to muslima.com, for example, Diminescu and Renault (2011) found that in Middle Eastern countries, virtually all the users were men (see Figure 1). This means that the few women who dare to sign into the new media will have a wide selection of potential mates and people to chat with, while men will have very few alternatives. ...

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From pen pals to chat rooms: the impact of social media on Middle Eastern Society

... A principal feature of these so-called "social matching systems" is the profile creation, where users are required to create a personal portrait of themselves, specifying their interests, age, gender, and to provide a photo [38]. The volume [27] and content of profile pages can vary from system to system [79]. Various lists of characteristics can be extracted from the literature: 73 traits, preferences, lifestyles and future plans [76]; 9 variables (such as race, education, smoking, drinking, and quick match rating) are taken into account to create "community profiles" between old and new users, which go towards solving the cold-start machine learning problem [78]. ...

Reference:

Declarative Variables in Online Dating: A Mixed-Method Analysis of a Mimetic-Distinctive Mechanism