eBook, PDF

Disinformation in Open Online Media (eBook, PDF)

Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26-27, 2020, Proceedings

Redaktion: Duijn, Max van; Verberne, Suzan; Takes, Frank; Spaiser, Viktoria; Preuss, Mike

Beschreibung

Chapters "Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models", "Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results" and "Students Assessing Digital News and Misinformation" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 22.22MB

Barrierefreiheit

• Text-to-Speech

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 277
• Erscheinungstermin: 20. Oktober 2020
• Englisch
• ISBN-13: 9783030618414
• Artikelnr.: 62299233