登入選單
返回Google圖書搜尋
Filter Bubbles and Targeted Advertising
The New York Times Editorial Staff
出版The Rosen Publishing Group, Inc, 2019-07-15
主題Young Adult Nonfiction / Computers / Internet
ISBN16428227019781642822700
URLhttp://books.google.com.hk/books?id=d7DXDwAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.