Handbook of Computational Social Science, Volume 1

Handbook of Computational Social Science, Volume 1

Theory, Case Studies and Ethics

E Lyberg, Lars; Engel, Uwe; Liu, Sunny; Quan-Haase, Anabel

Taylor & Francis Ltd

11/2021

394

Mole

Inglês

9780367456528

15 a 20 dias

830

Descrição não disponível.
Preface






Introduction to the Handbook of Computational Social Science
Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars Lyberg

Section I. The Scope and Boundaries of CSS




The Scope of Computational Social Science
Claudio Cioffi-Revilla




Analytical Sociology amidst a Computational Social Science Revolution
Benjamin F. Jarvis, Marc Keuschnigg and Peter Hedstroem




Computational Cognitive Modeling in the Social Sciences
Holger Schultheis




Computational Communication Science: Lessons from Working Group Sessions with Experts of an Emerging Research Field
Stephanie Geise and Annie Waldherr




A Changing Survey Landscape
Lars Lyberg and Steven G. Heeringa




Digital Trace Data: Modes of Data Collection, Applications, and Errors at a Glance
Florian Keusch and Frauke Kreuter




Open Computational Social Science
Jan G. Voelkel and Jeremy Freese




Causal and Predictive Modeling in Computational Social Science
Uwe Engel




Data-driven Agent-based Modeling in Computational Social Science
Jan Lorenz

Section II. Privacy, Ethics, and Politics in CSS Research




Ethics and Privacy in Computational Social Science: A Call for Pedagogy
William Hollingshead, Anabel Quan-Haase and Wenhong Chen




Deliberating with the Public: An Agenda to Include Stakeholder Input on Municipal "Big Data" Projects
James Popham, Jennifer Lavoie, Andrea Corradi and Nicole Coomber




Analysis of the Principled-AI Framework?s Constraints in Becoming a Methodological Reference for Trustworthy-AI Design
Daniel Varona and Juan Luis Suarez

Section III. Case Studies and Research Examples




Sensing Close-Range Proximity for Studying Face-to-Face Interaction
Johann Schaible, Marcos Oliveira, Maria Zens and Mathieu Genois




Social Media Data in Affective Science
Max Pellert, Simon Schweighofer and David Garcia




Understanding Political Sentiment: Using Twitter to Map the US 2016 Democratic Primaries
Niklas M Loynes and Mark J Elliot




The Social Influence of Bots and Trolls in Social Media
Yimin Chen




Social Bots and Social Media Manipulation in 2020: The Year in Review
Ho-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Muric, and Emilio Ferrara




A Picture is (still) Worth a Thousand Words: The Impact of Appearance and Characteristic Narratives on People's Perceptions of Social Robots
Sunny Xun Liu, Elizabeth Arredondo, Hannah Miezkowski, Jeff Hancock and Byron Reeves




Data Quality and Privacy Concerns in Digital Trace Data: Insights from a Delphi Study on Machine Learning and Robots in Human Life
Uwe Engel and Lena Dahlhaus




Effective Fight Against Extremist Discourse On-Line: The Case of ISIS's Propaganda
Seraphin Alava and Rasha Nagem




Public Opinion Formation on the Far Right

Michael Adelmund and Uwe Engel
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LIWC Category;Data Archives;survey data;Research Data Archiving;data analysis;ISIS Ideology;data science;Comparative Risk Perception;information technology;Agent Based Modeling;AI;Social Media Datasets;socio-robotics;CSS;quantitative;Digital Trace Data;survey methodology;ISIS's Propaganda;ethics;UK Census Data;ethical standards;Public Engagement;privacy;Human Robot Interaction;replication;Common Language;politics;LDA;survey design;Social Science Research;social media;Vice Versa;big data;Social Robots;social;Rest API;human-robot interaction;Computational Cognitive Modeling;machine learning;Social Media Data;open data;Highest Suitability Scores;Principled Ai;data ownership;Robot Characteristics;digital trace;Social Simulation;unstructured data