Making it Personal

• Updated on: 2023-04-23
• Read original article here

Algorithmic Personalization, Identity, and Everyday Life
Tanya Kant
Goes beyond the headline effects of the "filter bubble" theory to examine not only how personalization intersects with users' worldview, but how it intervenes in, and shapes, users' own sense of self
Bridges the gap between theories of algorithmic interventions into everyday life and the ways in which those interventions are perceived, experienced, and negotiated by users
Collates critiques of data tracking and user anticipation to provide an overview of the new theories around our algorithmic selves
Adds needed historical context to algorithmic personalization discussions via an analysis of "the drive to personalize" as a dominant market strategy
$120.00
Algorithmic Personalization, Identity, and Everyday Life
Tanya Kant
Description
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.
Algorithmic Personalization, Identity, and Everyday Life
Tanya Kant
Goes beyond the headline effects of the "filter bubble" theory to examine not only how personalization intersects with users' worldview, but how it intervenes in, and shapes, users' own sense of self
Bridges the gap between theories of algorithmic interventions into everyday life and the ways in which those interventions are perceived, experienced, and negotiated by users
Collates critiques of data tracking and user anticipation to provide an overview of the new theories around our algorithmic selves
Adds needed historical context to algorithmic personalization discussions via an analysis of "the drive to personalize" as a dominant market strategy
$120.00
Algorithmic Personalization, Identity, and Everyday Life
Tanya Kant
Description
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.
Algorithmic Personalization, Identity, and Everyday Life
Tanya Kant
Author Information
Tanya Kant is Lecturer in Media and Cultural Studies (Digital Media) at the University of Sussex, UK. She is Co-Managing Editor of the open access, multimedia publishing platform REFRAME.
Making it Personal
Algorithmic Personalization, Identity, and Everyday Life
Tanya Kant
Reviews and Awards
"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