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240503 ||| eng |
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|a 9781000626155
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4 |
|a HM846
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|a Fernández Rovira, Cristina
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|a Predictive technology in social media
|c editors, Cristina Fernández-Rovira, Santiago Giraldo-Luque
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|a First edition
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| 260 |
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|a Boca Raton
|b CRC Press
|c 2022
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| 300 |
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|a 210 pages
|b illustrations
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|a Includes bibliographical references and index
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| 653 |
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|a Confidentialité des données
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| 653 |
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|a Social media / Influence / http://id.loc.gov/authorities/subjects/sh2019005163
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| 653 |
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|a Technologie / Aspect sociologique
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| 653 |
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|a Data privacy / http://id.loc.gov/authorities/subjects/sh2021005721
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| 653 |
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|a Technology / Sociological aspects / http://id.loc.gov/authorities/subjects/sh89004351
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|a Giraldo Luque, Santiago
|e author
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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|z 1000626156
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|z 9781032103402
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|z 9781000626155
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|u https://learning.oreilly.com/library/view/~/9781000626155/?ar
|x Verlag
|3 Volltext
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|a 302.231
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|a 303.48/3
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|a Can the likes we give on Instagram and Facebook predict a purchase or foresee who will win the election? Yes, they can! Large digital platforms can target ads to hyper-segmented to influence audiences. It is the moment to think deeply about these technologies. As citizens, we must reflect on our digital future
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