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JINS

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JINS

 4.9 via 716 ratings in Apple Podcasts, Spotify and Podcast Addict
Data: Rephonic
A society & culture podcast in French from JINS Podcast
Website: https://podcast.ausha.co/jins

🇫🇷 JINS, c’est le 1er podcast sur la sexualité des personnes arabes et/ou musulmanes. 100% indépendant, féministe, intersectionnel et inclusif. Avec l’explosion des actes extrémistes, sexistes, islamophobes, racistes, LGBTphobes, il est urgent d’établir un climat de tolérance, de sortir du dogme et de rétablir la vérité. Il est grand temps pour @jins_podcast de faire briller les identités. Chaque semaine dans JINS (« sexe » en arabe), un∙e invité∙e d’exception déconstruira les stéréotypes, pour permettre à tou∙te∙s de mieux construire son identité, de mieux comprendre l’islam et de mieux accepter sa sexualité.

🇺🇸 JINS (@jins_podcast on Instagram) is the 1st podcast that addresses love, sexualities and gender for BIPoC and/or Muslims. It’s been gaining momentum, totaling 500K+ streams and

about 30K+ loyal listeners, making it a reference in the field, especially within BIPoC & Muslim communities of North America, Europe & the MENA region. Since 2021, I have been interviewing 120+ actors, artists, sociologists, sexologists, activists and authors in both French & English.

Hébergé par Acast. Visitez acast.com/privacy pour plus d’informations.

© JINS · more infoArtwork and data is from the podcast’s open RSS feed; we link directly to audio · Read our DMCA procedure
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This podcast may use tracking and attribution and dynamic content insertion

Stats: Statistics are produced by Acast to help JINS to understand how many downloads it is getting, or how many people are listening. Your device’s IP address and user agent is used to help calculate this figure. Acast is IAB v2 certified. Here is more detail about podcast statistics.

Tracking and attribution: Acast or its partners may connect the fact you listened to this podcast to an action elsewhere on the internet. For example - it may spot a device that downloaded an episode of JINS later visited the website of an advertiser; or it may track that a device that listened to JINS also listened to a different show. This form of attribution is used to measure advertising effectiveness.

Dynamic content insertion: Acast may use limited data that they know about you - the device you’re using, the approximate location you’re in, or other data that can be derived from this, like the current weather forecast for your area - to change parts of the audio. JINS may do this for advertising or for other forms of content, like news stories.

JINS is able to use the above tools since its podcast host or measurement company offers this service. It doesn’t mean that this individual podcast uses them, or has access to this functionality. We use open data.

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