Filter Bubbles and Targeted Advertising (Library Binding) (ISBN-13: 9781642822694)

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.

Author: Editorial Staff The New York Times
ISBN-10: 1642822698
ISBN-13: 9781642822694
Publisher: New York Times Educational Publishing
Language: English
Published: 07/30/2019
Pages: 224
Format: Library Binding
Weight: 1.20lbs
Size: 9.10h x 6.20w x 0.70d