Fr. 76.00

Adriana Amaral, Davide Ceolin, Davide Ceolin et al, Lisa Fazio, Edoardo Serra, Francesca Spezzano

Disinformation in Open Online Media - 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022, Proceedings

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

This book constitutes the refereed proceedings of the 4th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2022, held in October 2022.
The 7 full papers and 3 short papers were carefully reviewed and selected from 17 full/short paper submissions. The papers focus on health and climate change misinformation, social bots and comment moderation, information seeking and diffusion, misinformation detection, and user perception-based trust models.

List of contents

User Perception Based Trust Model of Online Sources: A Case Study of Misinformation on COVID-19.- Using Artificial Neural Networks to Identify COVID-19 Misinformation.- Tracing Political Positioning of Dutch Newspapers.- Digital Information Seeking and Sharing Behavior During the COVID-19 Pandemic in Pakistan.- Investigating the Validity of Botometer-based Social Bot Studies.- New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication.- Moderating the Good, the Bad, and the Hateful: Moderators' Attitudes towards ML-based Comment Moderation Support Systems.- Advancing the use of information compression distances in authorship attribution.- Discourses of Climate Delay in American Reddit Discussions.- Incremental Machine Learning for Text Classification in Comment Moderation Systems.

Product details

Assisted by	Adriana Amaral (Editor), Davide Ceolin (Editor), Davide Ceolin et al (Editor), Lisa Fazio (Editor), Edoardo Serra (Editor), Francesca Spezzano (Editor)
Publisher	Springer, Berlin

Languages	English
Product format	Paperback / Softback
Released	01.10.2022

EAN	9783031182525
ISBN	978-3-0-3118252-5
No. of pages	155
Dimensions	155 mm x 9 mm x 235 mm
Illustrations	XIX, 155 p. 51 illus., 44 illus. in color.
Series	Lecture Notes in Computer Science
Subject	Natural sciences, medicine, IT, technology > IT, data processing > Hardware

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.