Disinformation in Open Online Media: Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12259
Editat de Max van Duijn, Mike Preuss, Viktoria Spaiser, Frank Takes, Suzan Verberneen Limba Engleză Paperback – 21 oct 2020
Din seria Lecture Notes in Computer Science
- 20% Preț: 1061.55 lei
- 20% Preț: 307.71 lei
- 20% Preț: 438.69 lei
- 20% Preț: 645.28 lei
- Preț: 410.88 lei
- 15% Preț: 580.46 lei
- 17% Preț: 427.22 lei
- 20% Preț: 596.46 lei
- Preț: 381.21 lei
- 20% Preț: 353.50 lei
- 20% Preț: 1414.79 lei
- 20% Preț: 309.90 lei
- 20% Preț: 583.40 lei
- 20% Preț: 1075.26 lei
- 20% Preț: 310.26 lei
- 20% Preț: 655.02 lei
- 20% Preț: 580.93 lei
- 20% Preț: 340.32 lei
- 15% Preț: 438.59 lei
- 20% Preț: 591.51 lei
- 20% Preț: 649.49 lei
- 20% Preț: 337.00 lei
- Preț: 449.57 lei
- 20% Preț: 607.39 lei
- 20% Preț: 1024.44 lei
- 20% Preț: 579.30 lei
- 20% Preț: 763.23 lei
- 20% Preț: 453.32 lei
- 20% Preț: 575.48 lei
- 20% Preț: 585.88 lei
- 20% Preț: 825.93 lei
- 20% Preț: 763.23 lei
- 17% Preț: 360.19 lei
- 20% Preț: 1183.14 lei
- 20% Preț: 340.32 lei
- 20% Preț: 504.57 lei
- 20% Preț: 369.12 lei
- 20% Preț: 583.40 lei
- 20% Preț: 343.62 lei
- 20% Preț: 350.21 lei
- 20% Preț: 764.89 lei
- 20% Preț: 583.40 lei
- Preț: 389.48 lei
- 20% Preț: 341.95 lei
- 20% Preț: 238.01 lei
- 20% Preț: 538.29 lei
Preț: 474.54 lei
Preț vechi: 593.18 lei
-20% Nou
Puncte Express: 712
Preț estimativ în valută:
90.81€ • 94.24$ • 75.90£
90.81€ • 94.24$ • 75.90£
Carte tipărită la comandă
Livrare economică 15-29 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783030618407
ISBN-10: 3030618404
Pagini: 277
Ilustrații: X, 277 p. 102 illus., 61 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3030618404
Pagini: 277
Ilustrații: X, 277 p. 102 illus., 61 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets.- How Fake News Affect Trust in the Output of a Machine Learning System for News Curation.- A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning.- Misinformation from Chinese Web-based Newspapers? Machine Computational Analysis of Metabolic Disease Burden.- Students Assessing Digital News and Misinformation.- Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online.- Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting.- Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models.- Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action.- Fake News Detection on Twitter Using Propagation Structures.- #ArsonEmergency and Australia's "Black Summer": Polarisation and Misinformation on Social Media.- How Identity and Uncertainty Affect Online Social Influence: An Agent-Based Approach.- Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results.- On the Robustness of Rating Aggregators Against Injection Attacks.- FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News.- Combating Disinformation: Effects of Timing and Correction Format on Factual Knowledge and Personal Beliefs.- Near Real-Time Detection of Misinformation on Online Social Networks.- Multi-modal Analysis of Misleading Political News.
Textul de pe ultima copertă
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.