Write a 250+ words third-person summary of the TED Talk, “We’re Building a Dystopia Just to Make People Click on Ads” https://www.ted.com/talks/zeynep_tufekci_we_re_building_a_dystopia_just_t

10 September 2018

  • Watch video

  • Take notes with/for students

Zeynep Tufekci TED Talk

We’re building a dystopia just to make people click on ads”

https://www.ted.com/talks/zeynep_tufekci_we_re_building_a_dystopia_just_to_make_people_click_on_ads?referrer=playlist-the_race_for_your_attention

Keywords from first half

  • persuasion architecture

  • Algorithms

  • Dark posts

  • Data brokers


FIRST HALF OF TALK

Profiling people – individual profiles

  • AI is tailor-making “ads” for individual

Algorithms – Picking up on human behaviors

  • No one (no person) understands the algorithms. But artificial intelligence does, i.e., Facebook and Google

Like taking a cross-section of the brain, and no one knows what she is thinking.

  • Only the AI (artificial intelligence) knows.

Artificial Intelligence means

  • Internet and technology

  • Means that computers can use algorithms and “big data” to learn about an individual

  • Facebook and Google, examples of using “persuasion architecture”

Her example of “selling plane tickets to Las Vegas”

  • Mania and bipolar people


SECOND HALF OF TALK

“Dark posts”

  • Targeting people

  • They are not doing public posts; individualized

Good persuasion architecture makes a company successful

  • Two parts: Facebook has it; a company can buy it.

Information/news is individualized so that people don’t have the same knowledge or news.

Persuades your political views; who to vote for or not.

  • They are not considering your opinion; they are trying to give you an opinion

  • Because of a lack of transparency, voters don’t know who are persuading them

Facebook algorithms does not show posts in time order but algorithms selecting which ones to see

  • Posts are affecting you emotionally

Reforming the internet/technology?

  • We need to take control of the technology, so that information is transparent.

  • We need to re-structure the “business model.”

  • We should restrict algorithms. For example, not apply algorithms to politicians

  • Do not offer data from algorithms to the highest bidder/the biggest company