| 書目名稱 | Data versus Democracy | | 副標(biāo)題 | How Big Data Algorit | | 編輯 | Kris Shaffer | | 視頻video | http://file.papertrans.cn/264/263265/263265.mp4 | | 概述 | Teaches the impact of the attention economy and algorithmic information delivery on media production and consumption.Shows how regulations, business practices, and consumer safeguards have been slow t | | 圖書封面 |  | | 描述 | Human attention is in the highest demand it has ever been. The drastic increase in available information has compelled individuals to find a way to sift through the media that is literally at their fingertips. Content recommendation systems have emerged as the technological solution to this social and informational problem, but they’ve also created a bigger crisis in confirming our biases by showing us only, and exactly, what it predicts we want to see..?.Data versus Democracy.?investigates and explores how, in the era of social media, human cognition, algorithmic recommendation systems, and human psychology are all working together to reinforce (and exaggerate) human bias. The dangerous confluence of these factors is driving media narratives, influencing opinions, and possibly changing election results.?.In this book, algorithmic recommendations, clickbait, familiarity bias, propaganda, and other pivotal concepts are analyzed and then expanded upon via fascinating and timely case studies: the 2016 US presidential election, Ferguson, GamerGate, international political movements, and more events that come to affect every one of us..?.What are the implications of how we engage with i | | 出版日期 | Book 2019 | | 關(guān)鍵詞 | propaganda; algorithms; social media; disinformation; misinformation; attention economy; cognition; Cambrid | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-4540-8 | | isbn_softcover | 978-1-4842-4539-2 | | isbn_ebook | 978-1-4842-4540-8 | | copyright | Kris Shaffer 2019 |
The information of publication is updating
|
|
|Archiver|手機版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-12 03:56
發(fā)表于 2025-3-21 16:36:54
