Decoding Dating

Sara Nayak, Sam Hall, Zach Walters, Emmy Danforth

Produced by graduate students at the University of Pennsylvania, this podcast explores how dating app algorithms are shaping our behavior, safety, and online privacy.

集數

  1. 2022/12/05

    Episode 4: Privacy - A Myth?

    In the final episode of our podcast, we’ll be diving into the privacy aspects of dating apps and exploring some important questions like - Why is privacy crucial for dating apps? What regulations should be in place to ensure the privacy of the users? What can users do to protect their privacy? We’ll also look at the topic through a socio-technical and philosophical lens to understand the importance of privacy. Sources https://www.officialhacker.com/case-study-dating-app-vulnerabilities-to-cyber-security/ https://www.brookings.edu/blog/techtank/2020/11/20/this-cuffing-season-its-time-to-consider-the-privacy-of-dating-apps/ https://www.themantle.com/philosophy/living-society-control https://usa.kaspersky.com/blog/mwc21-online-dating-apps/25029/ https://securelist.com/dating-apps-report-2021/103000/ https://www.makeuseof.com/tag/dating-app-privacy/ https://protonvpn.com/blog/how-to-stay-private-on-tinder-grindr-bumble/

    11 分鐘

  2. 2022/12/05

    Episode 3: Are Dating Apps Safe?

    *CW: Sexual Violence* In our third episode of Decoding Dating, we will discuss the topic of sexual violence. Is sexual violence through dating apps worse? How is sexual violence facilitated by online dating? Do some features make sexual violence worse? Learn all of this and more in our third episode - Are Dating Apps Safe? CORRECTION: In this episode, we say belonging & love are the 2nd tier of Maslow’s hierarchy of needs and esteem is 3rd. They are actually 3rd and 4th, respectively. Sexual Violence Resources RAINN Chat/Telephone - https://www.rainn.org/resources NSVRC Online Resources - https://www.nsvrc.org/survivors CDC Resource List - https://www.cdc.gov/violenceprevention/sexualviolence/resources.html Sources https://doi.org/10.1109/hicss.2016.481 https://doi.org/10.1177/0731121420950756 https://doi.org/10.1080/1369118x.2020.1787485 https://link.gale.com/apps/doc/A666456232/ITOF?u=upenn_main&sid=summon&xid=2cf91438  https://doi.org/10.1007/s12119-021-09920-y https://doi.org/10.1016/j.avb.2011.09.008 https://doi.org/10.1177/1524838020906533 https://doi.org/10.1080/00224499.2022.2130858 https://help.grindr.com/hc/en-us/articles/1500008656741-Grindr-Unlimited- https://psycnet.apa.org/record/2010-03908-005 https://doi.org/10.1007/s10508-006-9131-6 https://www.simplypsychology.org/maslow.html#:~:text=There%20are%20five%20levels%20in,esteem%2C%20and%20self%2Dactualization https://doi.org/10.1017/s0265052521000133 https://doi.org/10.1177/20563051221126076 https://doi.org/10.4324/9780203782965 https://doi.org/10.1089/cyber.2017.0279 https://medium.com/fact-of-the-day-1/the-internet-has-changed-how-couples-meet-ce4f4760c38b https://doi.org/10.1007/bf01542219 https://doi.org/10.1177/20563051211068130 https://doi.org/10.1007/s13178-019-00397-x https://doi.org/10.1177/08862605221130390 https://doi.org/10.1080/1369118x.2016.1252412

    20 分鐘

  3. 2022/12/05

    Episode 2: How are Dating Apps Magnifying Our Biases?

    In this episode, we will explore how bias shows up in dating, and how dating app algorithms magnify our subconscious preferences. How are the apps themselves shaping attraction? How do they determine a user’s best potential matches? What could apps do differently to circumvent users’ biases? Sources https://www.pewresearch.org/social-trends/2017/05/18/1-trends-and-patterns-in-intermarriage/ https://theoutline.com/post/7824/dating-apps-research-behavior-sex https://overland.org.au/2020/09/the-affordances-of-desire-on-dating-apps/ https://www.cambridge.org/core/journals/social-philosophy-and-policy/article/dating-through-the-filters/EA64BE27CD7D2A1749D712A5E179828D https://dl.acm.org/doi/pdf/10.1145/3274342 https://www.wired.com/story/monster-match-dating-app/ https://www.forbes.com/sites/kashmirhill/2014/07/28/okcupid-experiment-compatibility-deception/?sh=20558b3177b1

    11 分鐘

  4. 2022/12/04

    Episode 1: What is the Deal with Dating Apps?

    In our first episode of Decoding Dating, we will set the tone for the podcast and explore the fundamentals of dating apps. Essentially what are dating apps, and how did they come to be? What are a few of the dating apps that have changed the dating scene as we knew it? How do their algorithms work? Learn all of this and more in our first episode - What is the Deal with Dating Apps? Sources https://www.invisibly.com/learn-blog/dating-app-algorithm/ https://blogs.lib.unc.edu/hill/2016/05/25/operation-match-computer-dating-at-unc-in-the-1960s/ https://medium.com/fact-of-the-day-1/the-internet-has-changed-how-couples-meet-ce4f4760c38b https://www.abc.net.au/news/2022-07-17/how-dating-apps-india-helped-young-widow-believe-in-second-love/101242852 https://mashable.com/article/tinder-bumble-hinge-okcupid-grindr-dating-app-algorithms https://www.washingtonpost.com/posteverything/wp/2017/02/14/why-using-tinder-is-so-satisfying/ https://tech.hindustantimes.com/tech/news/tinder-to-now-prioritise-active-users-do-away-with-elo-score-algorithm-story-6DQTjKkZgJn29wya8Xp46J.html https://www.thepinknews.com/2018/04/30/what-is-grindr-gay-dating-apps/ https://www.newyorker.com/culture/annals-of-inquiry/feeld-dating-app-sex https://onlinehookupsites.com/feeld-app-review/ https://www.buzzfeednews.com/article/azeenghorayshi/grindr-hiv-status-privacy https://medium.com/swlh/dating-data-an-overview-of-the-algorithm-afb9f0c08e2c

    19 分鐘
  • 共 4 集

簡介

Produced by graduate students at the University of Pennsylvania, this podcast explores how dating app algorithms are shaping our behavior, safety, and online privacy.

資訊

  • 創作者
    Sara Nayak, Sam Hall, Zach Walters, Emmy Danforth
  • 活躍年代
    2022年
  • 集數
    4
  • 年齡分級
    兒少適宜
  • 版權
    © Sara Nayak, Sam Hall, Zach Walters, Emmy Danforth
  • 節目網站
    Decoding Dating