Looking Forward: Filter Bubbles and Targeted Advertising, 1st Edition

  • Published By: New York Times Educational Pub
  • ISBN-10: 1642822701
  • ISBN-13: 9781642822700
  • DDC: 025.524
  • Grade Level Range: 7th Grade - 12th Grade
  • 224 Pages | eBook
  • Original Copyright 2020 | Published/Released December 2019
  • This publication's content originally published in print form: 2020

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About

Overview

Over a decade ago, tech companies began using algorithms to personalize our experience of the web. Using sophisticated technology and vast amounts of consumer data, companies began to predict our tastes better than we could ourselves. In response, ecommerce expanded, and journalism adapted itself to the personalized attention economy. However, there was a hidden side effect, which Eli Pariser termed the filter bubble, which is the exclusion of other perspectives from our tech-assisted preferences. Raising many hard questions including data security, political propaganda, and the pervasiveness of digital junk food, filter bubbles reveal the future challenges of a personalized, automated web. Features such as media literacy questions and terms enhance this collection, encouraging readers to analyze reporting styles and devices.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Contents.
Introduction.
Digital Platforms Personalize Our Online Experience.
1: This Boring Headline Is Written for Google.
2: A New Campaign Tactic: Manipulating Google Data.
3: Researchers Track Down a Plague of Fake Web Pages.
4: Guessing the Online Customer's Next Want.
5: If You Liked This, You're Sure to Love That.
6: The Google Algorithm.
Clickbait and Sponsored Content Change Media.
7: Risks Abound as Reporters Play in Traffic.
8: Arianna Huffington's Improbable, Insatiable Content Machine.
9: F.T.C. Guidelines on Native Ads Aim to Prevent Deception.
10: How Sponsored Content Is Becoming King in a Facebook World.
11: Shocker! Facebook Changes Its Algorithm to Avoid ‘Clickbait’.
12: Good at Skipping Ads? No, You're Not.
The Web Gets Personal, for Better and for Worse.
13: When the Internet Thinks It Knows You.
14: The Trouble with the Echo Chamber Online.
15: What You Didn't Post, Facebook May Still Know.
16: Google and Facebook Face Criticism for Ads Targeting Racist Sentiments.
17: How Facebook's Oracular Algorithm Determines the Fates of Start-Ups.
Media Pivots and Conspiracy Cranks: The Power of Video.
18: Why That Video Went Viral.
19: YouTube Kids App Faces New Complaints Over Ads for Junk Food.
20: On YouTube Kids, Startling Videos Slip Past Filters.
21: What the ‘Pivot to Video’ Looks Like at Condé Nast.
22: As Germans Seek News, YouTube Delivers Far-Right Tirades.
23: New Pressure on Google and YouTube Over Children's Data.
24: YouTube Unleashed a Conspiracy Theory Boom. Can It Be Contained?.
Political Uses of the Personalized Web.
25: Facebook's Bias Is Built-In, and Bears Watching.
26: Facebook's Subtle Empire.
27: Inside Facebook's (Totally Insane, Unintentionally Gigantic, Hyperpartisan) Political-Media Machine.
28: Facebook and the Digital Virus Called Fake News.
29: Facebook's Problem Isn't Fake News — It's the Rest of the Internet.
30: How Climate Change Deniers Rise to the Top in Google Searches.
Tech Companies Under Scrutiny.
31: Can Facebook Fix Its Own Worst Bug?.
32: Just Don't Call It Privacy.
33: As Facebook Raised a Privacy Wall, It Carved an Opening for Tech Giants.
Glossary.
Media Literacy Terms.
Media Literacy Questions.
Citations.
Index.