eBook, PDF

Predictive Technology in Social Media (eBook, PDF)

Beschreibung

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.

Technische Details

• Geräte: PC
• mit Kopierschutz

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien

Autor

Cristina Fernández-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. Fernández-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 Autònoma de Barcelona (UAB). He holds a PhD in Communication and Journalism and a master's 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.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 210
• Erscheinungstermin: 7. Juli 2022
• Englisch
• ISBN-13: 9781000626148
• Artikelnr.: 63905873