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Tanya Kant Making it Personal (Paperback) (UK IMPORT)
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Making it Personal
- Subtitle
- Algorithmic Personalization, Identity, and Everyday Life
- ISBN-10
- 0190905093
- EAN
- 9780190905095
- ISBN
- 9780190905095
- Release Date
- 04/09/2020
- Country/Region of Manufacture
- US
- Genre
- Computing & Internet
- Title
- Making it Personal
- Release Year
- 2020
About this product
Product Identifiers
Publisher
Oxford University Press, Incorporated
ISBN-10
0190905093
ISBN-13
9780190905095
eBay Product ID (ePID)
13038286234
Product Key Features
Number of Pages
272 Pages
Publication Name
Making It Personal : Algorithmic Personalization, Identity, and Everyday Life
Language
English
Publication Year
2020
Subject
Media Studies, Electronics / Digital, Statistics
Type
Textbook
Subject Area
Technology & Engineering, Social Science
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
10.6 Oz
Item Length
6.1 in
Item Width
9.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2019-033684
Reviews
"An engaging read ... The ultimate conclusion ("Removing 'the Personal' from Personalization") demonstrates Kant's commitment to arming personalization-phobic readers with useful normative advice." -- J. Marren, CHOICE"No one else has conducted a substantive study on algorithmic personalization quite like this. The chapters provide the reader with a helpful, wide-ranging terrain from which to understand how partial subjectivity is enacted across varied fronts. This is an important primer for algorithmic studies as a whole." -- John Cheney-Lippold, University of Michigan"Making it Personal eloquently brings into focus the murky world of personalization algorithms and data tracking in order to interrogate the complex ways users understand and negotiate these systems. It usefully moves us beyond discussions of privacy, surveillance, and authenticity to skillfully interrogate what it really means to be subject to these algorithmic logics." -- Kylie Jarrett, Maynooth University, "An engaging read ... The ultimate conclusion ("Removing 'the Personal' from Personalization") demonstrates Kant's commitment to arming personalization-phobic readers with useful normative advice." -- J. Marren, CHOICE "No one else has conducted a substantive study on algorithmic personalization quite like this. The chapters provide the reader with a helpful, wide-ranging terrain from which to understand how partial subjectivity is enacted across varied fronts. This is an important primer for algorithmic studies as a whole." -- John Cheney-Lippold, University of Michigan "Making it Personal eloquently brings into focus the murky world of personalization algorithms and data tracking in order to interrogate the complex ways users understand and negotiate these systems. It usefully moves us beyond discussions of privacy, surveillance, and authenticity to skillfully interrogate what it really means to be subject to these algorithmic logics." -- Kylie Jarrett, Maynooth University, "No one else has conducted a substantive study on algorithmic personalization quite like this. The chapters provide the reader with a helpful, wide-ranging terrain from which to understand how partial subjectivity is enacted across varied fronts. This is an important primer for algorithmic studies as a whole." -- John Cheney-Lippold, University of Michigan "Making it Personal eloquently brings into focus the murky world of personalization algorithms and data tracking in order to interrogate the complex ways users understand and negotiate these systems. It usefully moves us beyond discussions of privacy, surveillance, and authenticity to skillfully interrogate what it really means to be subject to these algorithmic logics." -- Kylie Jarrett, Maynooth University
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
004.019
Table Of Content
Introduction: Making it PersonalChapter Two: The Drive to PersonalizeChapter Three: Me, Myself, and the AlgorithmChapter Four: Hiding Your "Scuzzy Bits"Chapter Five: Autoposting the Self into ExistenceChapter Six: Validating the Self Through GoogleConclusion: Removing 'the Personal' from PersonalizationBibliographyAppendixEndnotes
Synopsis
Targeted advertisements, tailored information feeds, and recommended content are now common and somewhat inescapable components of our everyday lives. With the help of searches, browsing history, purchases, likes, and other digital interactions, technological experiences are now routinely "personalized." Companies with access to this information often downplay the fact that users' personal data serves as a key form of monetization, and their privacy policies tend to use the terms "personalization" and "customization" to legitimize the practice of tracking and algorithmically anticipating users' daily movements. In Making it Personal, Tanya Kant sheds light on the dilemmas of algorithmic personalization, exploring such key contemporary questions as: What do users really know about the algorithms that guide their online experiences and social media presence? And if personalization practices seek to act on our behalf, then how can users constitute, retain, or relinquish their autonomy and sense of self? At the heart of the book are new interviews and focus groups with web users who - through a myriad of resistant, tactical, resigned or trusting engagements - encounter algorithmic personalization as part of their lived experience on the web. Tanya Kant proposes that for those who encounter it, algorithmic personalization creates epistemic uncertainties that can emerge as trust or anxiety, produces an ongoing struggle for autonomy between user and system, and even has the power to intervene in identity constitution. In doing so, algorithmic personalization does not just generate "filter bubbles" for individuals' worldviews, but also creates new implications for knowledge production, the deployment of cultural capital as an algorithmic tactic, and, above all, formations of identity itself., Targeted advertisements, tailored information feeds, and recommended content are now common and somewhat inescapable components of our everyday lives. With the help of searches, browsing history, purchases, likes, and other digital interactions, technological experiences are now routinely "personalized." Companies with access to this information often downplay the fact that users' personal data serves as a key form of monetization, and their privacy policies tend to use the terms "personalization" and "customization" to legitimize the practice of tracking and algorithmically anticipating users' daily movements. In Making it Personal, Tanya Kant sheds light on the dilemmas of algorithmic personalization, exploring such key contemporary questions as: What do users really know about the algorithms that guide their online experiences and social media presence? And if personalization practices seek to act on our behalf, then how can users constitute, retain, or relinquish their autonomy and sense of self? At the heart of the book are new interviews and focus groups with web users who-through a myriad of resistant, tactical, resigned or trusting engagements-encounter algorithmic personalization as part of their lived experience on the web. Tanya Kant proposes that for those who encounter it, algorithmic personalization creates epistemic uncertainties that can emerge as trust or anxiety, produces an ongoing struggle for autonomy between user and system, and even has the power to intervene in identity constitution. In doing so, algorithmic personalization does not just generate "filter bubbles" for individuals' worldviews, but also creates new implications for knowledge production, the deployment of cultural capital as an algorithmic tactic, and, above all, formations of identity itself., Targeted advertisements, tailored information feeds, and recommended content are now common and somewhat inescapable components of our everyday lives. With the help of searches, browsing history, purchases, likes, and other digital interactions, technological experiences are now routinely "personalized." Companies with access to this information often downplay the fact that users' personal data serves as a key form of monetization, and their privacy policies tend to use the terms "personalization" and "customization" to legitimize the practice of tracking and algorithmically anticipating users' daily movements. In Making it Personal , Tanya Kant sheds light on the dilemmas of algorithmic personalization, exploring such key contemporary questions as: What do users really know about the algorithms that guide their online experiences and social media presence? And if personalization practices seek to act on our behalf, then how can users constitute, retain, or relinquish their autonomy and sense of self? At the heart of the book are new interviews and focus groups with web users who-through a myriad of resistant, tactical, resigned or trusting engagements-encounter algorithmic personalization as part of their lived experience on the web. Tanya Kant proposes that for those who encounter it, algorithmic personalization creates epistemic uncertainties that can emerge as trust or anxiety, produces an ongoing struggle for autonomy between user and system, and even has the power to intervene in identity constitution. In doing so, algorithmic personalization does not just generate "filter bubbles" for individuals' worldviews, but also creates new implications for knowledge production, the deployment of cultural capital as an algorithmic tactic, and, above all, formations of identity itself., Making it Personal offers a thoughtful analysis and up-to-date contextualization of the issues around of algorithmic personalization, bridging the gap between algorithmic intervention and individual user perception, experience, and negotiation.
LC Classification Number
QA76.9.H85K36 2020
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Seller feedback (775,127)
- t***- (9208)- Feedback left by buyer.Past monthVerified purchaseItem was lost in mail and never received but seller responded promptly and issued refund.
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time