Uncertain Archives: Critical Keywords for Big Data

iebukes 电子书 285 次浏览 没有评论
Uncertain Archives: Critical Keywords for Big Data

Uncertain Archives: Critical Keywords for Big Data

Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability.

This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data–arranged glossary style, from from abuse and aggregate to visualization and vulnerability–both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.

下载地址:Uncertain Archives: Critical Keywords for Big Data (访问密码:6531)

 
 扫描二维码,关注微信公众号,发送“FWMM”获取下载访问密码,关注我,永不迷路  
                微信公众号二维码