Social Networks (41)
Find narratives by ethical themes or by technologies.
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- 6 min
- Wired
- 2019
Spreading of harmful content through Youtube’s AI recommendation engine algorithm. AI helps create filter bubbles and echo chambers. Limited user agency to be exposed to certain content.
- Wired
- 2019
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- 6 min
- Wired
- 2019
The Toxic Potential of YouTube’s Feedback Loop
Spreading of harmful content through Youtube’s AI recommendation engine algorithm. AI helps create filter bubbles and echo chambers. Limited user agency to be exposed to certain content.
How much agency do we have over the content we are shown in our digital artifacts? Who decides this? How skeptical should we be of recommender systems?
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- 5 min
- NPR
- 2020
After the FTC and 48 States charged Facebook with being a monopoly in late 2020, the FTC continues the push for accountability of tech monopolies by demanding that large social network companies, including Facebook, TikTok, and Twitter, share exactly what they do with user data in hopes of increased transparency. Pair with “Facebook hit with antitrust lawsuit from FTC and 48 state attorneys general“
- NPR
- 2020
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- 5 min
- NPR
- 2020
Amazon, TikTok, Facebook, Others Ordered To Explain What They Do With User Data
After the FTC and 48 States charged Facebook with being a monopoly in late 2020, the FTC continues the push for accountability of tech monopolies by demanding that large social network companies, including Facebook, TikTok, and Twitter, share exactly what they do with user data in hopes of increased transparency. Pair with “Facebook hit with antitrust lawsuit from FTC and 48 state attorneys general“
Do you think that users, especially younger users, would trade their highly-tailored recommender system and social network experiences for data privacy? How much does transparency of tech monopolies help when many people are not fluent in the concept of how algorithms work? Should social media companies release the abstractions of users that it forms using data?
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- 2 min
- Kinolab
- 2014
Allison’s unhealthy eating habits are reinforced with comments she receives online to the point where she refuses to eat with her family and follows online advice on how to resist hunger. The technology in this clip is the online forum which has the goal of perpetuating and starting unhealthy eating habits.
- Kinolab
- 2014
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- 2 min
- Kinolab
- 2014
Social Networks and Societal Norms
Allison’s unhealthy eating habits are reinforced with comments she receives online to the point where she refuses to eat with her family and follows online advice on how to resist hunger. The technology in this clip is the online forum which has the goal of perpetuating and starting unhealthy eating habits.
How do social networks, and certain enclaves within these networks such as a blog site, set the societal norms in the digital age? How do these platforms perpetuate illusions of how people should look and act? Did social media create these problems, or simply exacerbate them?
Men, Women and Children: Pretty Bitches Never Eat-
- 3 min
- Kinolab
- 2014
Donald and Helen, a married couple, are both dissatisfied with their marriage, particularly in their sexual relationship, and so unwilling to communicate with each other that they both want to cheat on each other. The technology in this clip are the websites on which they both succumb to the temptation of an affair.
- Kinolab
- 2014
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- 3 min
- Kinolab
- 2014
Infidelity and Social Networks
Donald and Helen, a married couple, are both dissatisfied with their marriage, particularly in their sexual relationship, and so unwilling to communicate with each other that they both want to cheat on each other. The technology in this clip are the websites on which they both succumb to the temptation of an affair.
Are websites like the ones shown in this narrative a justifiable affordance of social networks and digital technologies? Does the facility of making connections with other people make infidelity overall easier to accomplish? Does having these more private, secluded channels make communication between dissatisfied partners harder? In thinking particularly about the “Escort Edition” website, what is problematic about its quantification of women and “shopping” user interface?
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- 41 min
- The New York Times
- 2021
In this podcast episode, Ellen Pao, an early whistleblower on gender bias and racial discrimination in the tech industy, tells the story of her experience suing the venture capital firm Kleiner Perkins for gender discrimination. The episode then moves into a discussion of how Silicon Valley, and the tech industry more broadly, is dominated by white men who do not try to deeply understand or move toward racial or gender equity; instead, they focus on PR moves. Specifically, she reveals that social media companies and CEOs can be particularly performative when it comes to addressing racial or gender inequality, focusing on case studies rather than breeding a new, more fair culture.
- The New York Times
- 2021
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- 41 min
- The New York Times
- 2021
Sexism and Racism in Silicon Valley
In this podcast episode, Ellen Pao, an early whistleblower on gender bias and racial discrimination in the tech industy, tells the story of her experience suing the venture capital firm Kleiner Perkins for gender discrimination. The episode then moves into a discussion of how Silicon Valley, and the tech industry more broadly, is dominated by white men who do not try to deeply understand or move toward racial or gender equity; instead, they focus on PR moves. Specifically, she reveals that social media companies and CEOs can be particularly performative when it comes to addressing racial or gender inequality, focusing on case studies rather than breeding a new, more fair culture.
How did Silicon Valley and the technology industry come to be dominated by white men? How can this be addressed, and how can the culture change? How can social networks in particular be re-imagined to open up doors to more diverse leadership and workplace cultures?
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- 35 min
- Wired
- 2021
In this podcast, interviewees share several narratives which discuss how certain technologies, especially digital photo albums, social media sites, and dating apps, can change the nature of relationships and memories. Once algorithms for certain sites have an idea of what a certain user may want to see, it can be hard for the user to change that idea, as the Pinterest wedding example demonstrates. When it comes to photos, emotional reactions can be hard or nearly impossible for a machine to predict. While dating apps do not necessarily make a profit by mining data, the Match monopoly of creating different types of dating niches through a variety of apps is cause for some concern.
- Wired
- 2021
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- 35 min
- Wired
- 2021
How Tech Transformed How We Hook Up—and Break Up
In this podcast, interviewees share several narratives which discuss how certain technologies, especially digital photo albums, social media sites, and dating apps, can change the nature of relationships and memories. Once algorithms for certain sites have an idea of what a certain user may want to see, it can be hard for the user to change that idea, as the Pinterest wedding example demonstrates. When it comes to photos, emotional reactions can be hard or nearly impossible for a machine to predict. While dating apps do not necessarily make a profit by mining data, the Match monopoly of creating different types of dating niches through a variety of apps is cause for some concern.
How should algorithms determine what photos a specific user may want to see or be reminded of? Should machines be trusted with this task at all? Should users be able to take a more active role in curating their content in certain albums or sites, and would most users even want to do this? Does the existence of dating apps drastically change the nature of dating? How could creating a new application which introduces a new dating “niche” ultimately serve a tech monopoly?