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Datafication and surveillance capitalism : The Texas Teacher Evaluation and Support System (T-TESS)
Holloway, Jessica Lewis, Steven
Holloway, Jessica
Lewis, Steven
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Abstract
[Extract] The election of Donald Trump as president of the United States (US) in November 2016 will likely be remembered as one of the greatest upsets in modern political history. What was thought to be a sure win for candidate Hillary Clinton quickly turned into a shocking defeat, leaving political experts rattled and searching for new analytical tools to help explain their miscalculations. More recently, details have emerged about the (previously) little-known data analytics company Cambridge Analytica and its role – and that of data more generally – in securing the Trump Presidency, reflecting the increasing power that big data and technical analytics exert over the daily lives of citizens. What the public learned was that their seemingly private participation on various websites (such as Facebook) was being tracked and collected, often without their knowledge or express consent. These data were then “mined,”1 sold, and analyzed for profiling potential demographic and political factions within the US electorate, meaning people were targeted for political grooming via specific advertising and content.
Although polling techniques and political targeting are constant and consistent features of modern politics, what made Cambridge Analytica so unique was its purposeful disregard for the human candidate. While traditional campaign techniques might start with a candidate’s policy position and then use polling data to craft a targeted message for a particular constituency, Cambridge Analytica started with the data and instead worked backwards. The company first used data mined from social media sites to identify the “mood” of constituents, before testing various emotive messages to craft a policy position. Relying on years of harvested data and message testing, Cambridge Analytica helped manufacture the perfect primed candidate for any given electorate. The candidate needed not be ideologically sound, socially pure, or experientially prepared, but merely “programmable”; that is, capable of being encoded with tried and tested scripts, be they “Make America Great Again,” “Build the Wall,” or “Lock Her Up.”
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Date
2021
Type
Book chapter
Journal
Book
Digital disruption in teaching and testing : Assessments, big data, and the transformation of schooling
Volume
Issue
Page Range
181-194
Article Number
ACU Department
School of Education
Faculty of Education and Arts
Research Office
Institute for Learning Sciences and Teacher Education (ILSTE)
Faculty of Education and Arts
Research Office
Institute for Learning Sciences and Teacher Education (ILSTE)
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All rights reserved
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