IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The Data Machine: Identification in the Age of Data Mining

The Data Machine: Identification in the Age of Data Mining
View Sample PDF
Author(s): Nicholas A. Hanford (Rensselaer Polytechnic Institute, USA)
Copyright: 2016
Pages: 16
Source title: Business Intelligence: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-9562-7.ch103

Purchase

View The Data Machine: Identification in the Age of Data Mining on the publisher's website for pricing and purchasing information.

Abstract

Kenneth Burke warned of the trends of behaviorism in A Grammar of Motives as he found them to be a reduction of the human condition. In the current digital landscape, data mining aims at reducing the human user to characteristics and re-presenting those characteristics, through online advertising, to the user they were collected from. Due to these processes, rhetoricians are forced to take a deeper look at how the audience is constituted within digital situations. This chapter discusses the effects of data mining on Burke's work, providing an example for the contextualization of rhetorical theory in new media environments. By contextualizing Burke's concepts, this chapter allows for these ideas to be used more seamlessly within digital rhetoric and any medium where data mining is a consistent practice.

Related Content

Dina Darwish. © 2024. 48 pages.
Dina Darwish. © 2024. 51 pages.
Smrity Prasad, Kashvi Prawal. © 2024. 19 pages.
Jignesh Patil, Sharmila Rathod. © 2024. 17 pages.
Ganesh B. Regulwar, Ashish Mahalle, Raju Pawar, Swati K. Shamkuwar, Priti Roshan Kakde, Swati Tiwari. © 2024. 23 pages.
Pranali Dhawas, Abhishek Dhore, Dhananjay Bhagat, Ritu Dorlikar Pawar, Ashwini Kukade, Kamlesh Kalbande. © 2024. 24 pages.
Pranali Dhawas, Minakshi Ashok Ramteke, Aarti Thakur, Poonam Vijay Polshetwar, Ramadevi Vitthal Salunkhe, Dhananjay Bhagat. © 2024. 26 pages.
Body Bottom