COMS 2200 Lecture Notes - Lecture 12: Frankfurt School, Big Data, Surveillance
Document Summary
Research and thinking that applies critical social theory to data to explore the ways in which they are never . Data are instead understood to be : simply neutral, objective, raw representation of the world. Independent: situated, contingent, relational, contextual, do active work in the world. Have to attempt to answer all of the questions in exam to be able to collect bonus points. 4 short concept questions: select 4 of the concepts listed below, provide a definition, list 2 benefits and 2 drawbacks, provide 1 example. Big data are considered to have the following 9 attributes. Assess 1 example of a big dataset and 1 example of a small dataset. In the table below explain that dataset(cid:495)s characteristics according to the attribute in the left column. Course and weak to tight and strong: indexical. Explain why some scholars are concerned with the convergence of corporate dataveillance and government surveillance.