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Predictive Technology in Social Media [Mīkstie vāki]

Edited by (Autonomous University of Barcelona, Spain), Edited by (University of Vic-Central University of Catalonia, Spain)
  • Formāts: Paperback / softback, 192 pages, height x width: 234x156 mm, weight: 380 g, 5 Tables, black and white; 1 Line drawings, color; 5 Line drawings, black and white; 8 Halftones, color; 9 Illustrations, color; 5 Illustrations, black and white
  • Izdošanas datums: 07-Oct-2024
  • Izdevniecība: CRC Press
  • ISBN-10: 1032103450
  • ISBN-13: 9781032103457
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  • Mīkstie vāki
  • Cena: 63,81 €
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Predictive Technology in Social MediaPalielināt
  • Formāts: Paperback / softback, 192 pages, height x width: 234x156 mm, weight: 380 g, 5 Tables, black and white; 1 Line drawings, color; 5 Line drawings, black and white; 8 Halftones, color; 9 Illustrations, color; 5 Illustrations, black and white
  • Izdošanas datums: 07-Oct-2024
  • Izdevniecība: CRC Press
  • ISBN-10: 1032103450
  • ISBN-13: 9781032103457
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781032103457.html
Keywords:

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.



Can behaviour on social media predict future purchase patterns? Can what we click on social media foresee which political party will we vote for? Can the information we share on our wall foretell the next series I might want to watch? Can the likes on Instagram and Facebook predict the time one will spend on digital platforms in the next hour? The answer is no longer science fiction. It points to the ability of mainstream social media platforms such as Facebook and Twitter to be able to deliver specialised advertising services to highly targeted audience segments controlled by the billions of devices that flood our daily lives. At the same time, it highlights a more relevant problem: can social media guide, suggest or impose a certain behaviour or thought? Everything seems to indicate that they can do it.

Predictive Technology in Social Media

comprises 10 essays that reflect on the power of the predictive technology of social media in culture, entertainment, marketing, economics and politics. It shows, from a humanistic and critical perspective, the predictive possibilities of social media platforms, as well as the risks this entails for cultural plurality, everyday consumption, the monopolistic concentration of the economy and attention, and democracy. The text is an invitation to think, as citizens, about the unbridled power we have ceded to digital platforms. A new voice to warn about the greatest concentration of communicative power ever seen in the history of humanity.

Introduction: From Delphi to Zuckerberg Conquering the Future Part 1:
General Discussions on Prediction-Oriented Algorithms and Attention
1.
Algorithmic Culture: Limits and Notes for the Discussion
2. The Functioning
of Attention as a Behavioural Prediction Mechanism in Social Media Part 2:
Predictive Consumption?
3. Predictive Analytics in Digital Advertising: Are
Platforms Really Interested in Accuracy?
4. Consumption Prediction on
Netflix: Audience Tracking Analysis Based on the Recommendation Algorithm in
Times of Pandemic
5. Social Complex Networks Analysis as Predictors of Users
Behaviour in the Digital Society Part 3: Ethical and Political Implications
of Prediction
6. Predicting Government Attention in Social Media: A First
Step for Understanding Political astroturf in Interest Representation
7.
Social Media as a Framework for Predicting and Controlling Social Protest in
the 21st Century
8. Reviving Topological Thinking in the Post-Media Condition
9. Ethical Insights for the Social Media Age
Cristina Fernįndez-Rovira is a lecturer and researcher in the Department of Communication at the Universitat de Vic-Universitat Central de Catalunya. She has studied in Spain and Canada and has done pre-doctoral research in Spain and France. She has also been a visiting professor in Egypt. Fernįndez-Rovira is a journalist and political scientist and holds a PhD in Sociology and Anthropology. Her main research interests are social media and the economy of attention.

Santiago Giraldo-Luque is Professor of Journalism at the Universitat Autņnoma de Barcelona (UAB). He holds a PhD in Communication and Journalism and a masters degree in Communication and Education from the UAB. He is a graduate of the Political Science programme at the National University of Colombia. His research is centred on the study of social media, the economy of attention, and the use of the internet to promote political participation and social mobilisation.