Handbook of Computational Social Science, Volume 1
Theory, Case Studies and Ethics
Herausgeber: Engel, Uwe; Liu, Sunny Xun; Quan-Haase, Anabel
Handbook of Computational Social Science, Volume 1
Theory, Case Studies and Ethics
Herausgeber: Engel, Uwe; Liu, Sunny Xun; Quan-Haase, Anabel
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The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
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The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 394
- Erscheinungstermin: 15. November 2021
- Englisch
- Abmessung: 244mm x 170mm x 24mm
- Gewicht: 862g
- ISBN-13: 9780367456535
- ISBN-10: 0367456532
- Artikelnr.: 62232592
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 394
- Erscheinungstermin: 15. November 2021
- Englisch
- Abmessung: 244mm x 170mm x 24mm
- Gewicht: 862g
- ISBN-13: 9780367456535
- ISBN-10: 0367456532
- Artikelnr.: 62232592
Uwe Engel is Professor at the University of Bremen, Germany, where he held a chair in sociology from 2000 to 2020. From 2008 to 2013, Dr. Engel coordinated the Priority Programme on "Survey Methodology" of the German Research Foundation. His current research focuses on data science, human-robot interaction, and opinion dynamics. Anabel Quan-Haase is Professor of Sociology and Information and Media Studies at Western University and Director of the SocioDigital Media Lab, London, Canada. Her research interests include social media, social networks, life course, social capital, computational social science, and digital inequality/inclusion. Sunny Xun Liu is a research scientist at Stanford Social Media Lab, USA. Her research focuses on the social and psychological e- ects of social media and AI, social media and well-being, and how the design of social robots impacts psychological perceptions. Lars Lyberg was Head of the Research and Development Department at Statistics Sweden and professor at Stockholm University. He was an elected member of the International Statistical Institute. In 2018, he received the AAPOR Award for Exceptionally Distinguished Achievement.
Preface
1. 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
2. The Scope of Computational Social Science
Claudio Cioffi-Revilla
3. Analytical Sociology amidst a Computational Social Science Revolution
Benjamin F. Jarvis, Marc Keuschnigg and Peter Hedström
4. Computational Cognitive Modeling in the Social Sciences
Holger Schultheis
5. Computational Communication Science: Lessons from Working Group
Sessions with Experts of an Emerging Research Field
Stephanie Geise and Annie Waldherr
6. A Changing Survey Landscape
Lars Lyberg and Steven G. Heeringa
7. Digital Trace Data: Modes of Data Collection, Applications, and
Errors at a Glance
Florian Keusch and Frauke Kreuter
8. Open Computational Social Science
Jan G. Voelkel and Jeremy Freese
9. Causal and Predictive Modeling in Computational Social Science
Uwe Engel
10. Data-driven Agent-based Modeling in Computational Social Science
Jan Lorenz
Section II. Privacy, Ethics, and Politics in CSS Research
11. Ethics and Privacy in Computational Social Science: A Call for
Pedagogy
William Hollingshead, Anabel Quan-Haase and Wenhong Chen
12. Deliberating with the Public: An Agenda to Include Stakeholder Input
on Municipal "Big Data" Projects
James Popham, Jennifer Lavoie, Andrea Corradi and Nicole Coomber
13. 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
14. Sensing Close-Range Proximity for Studying Face-to-Face Interaction
Johann Schaible, Marcos Oliveira, Maria Zens and Mathieu Génois
15. Social Media Data in Affective Science
Max Pellert, Simon Schweighofer and David Garcia
16. Understanding Political Sentiment: Using Twitter to Map the US 2016
Democratic Primaries
Niklas M Loynes and Mark J Elliot
17. The Social Influence of Bots and Trolls in Social Media
Yimin Chen
18. 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
19. 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
20. 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
21. Effective Fight Against Extremist Discourse On-Line: The Case of
ISIS's Propaganda
Séraphin Alava and Rasha Nagem
22. Public Opinion Formation on the Far Right
Michael Adelmund and Uwe Engel
1. 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
2. The Scope of Computational Social Science
Claudio Cioffi-Revilla
3. Analytical Sociology amidst a Computational Social Science Revolution
Benjamin F. Jarvis, Marc Keuschnigg and Peter Hedström
4. Computational Cognitive Modeling in the Social Sciences
Holger Schultheis
5. Computational Communication Science: Lessons from Working Group
Sessions with Experts of an Emerging Research Field
Stephanie Geise and Annie Waldherr
6. A Changing Survey Landscape
Lars Lyberg and Steven G. Heeringa
7. Digital Trace Data: Modes of Data Collection, Applications, and
Errors at a Glance
Florian Keusch and Frauke Kreuter
8. Open Computational Social Science
Jan G. Voelkel and Jeremy Freese
9. Causal and Predictive Modeling in Computational Social Science
Uwe Engel
10. Data-driven Agent-based Modeling in Computational Social Science
Jan Lorenz
Section II. Privacy, Ethics, and Politics in CSS Research
11. Ethics and Privacy in Computational Social Science: A Call for
Pedagogy
William Hollingshead, Anabel Quan-Haase and Wenhong Chen
12. Deliberating with the Public: An Agenda to Include Stakeholder Input
on Municipal "Big Data" Projects
James Popham, Jennifer Lavoie, Andrea Corradi and Nicole Coomber
13. 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
14. Sensing Close-Range Proximity for Studying Face-to-Face Interaction
Johann Schaible, Marcos Oliveira, Maria Zens and Mathieu Génois
15. Social Media Data in Affective Science
Max Pellert, Simon Schweighofer and David Garcia
16. Understanding Political Sentiment: Using Twitter to Map the US 2016
Democratic Primaries
Niklas M Loynes and Mark J Elliot
17. The Social Influence of Bots and Trolls in Social Media
Yimin Chen
18. 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
19. 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
20. 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
21. Effective Fight Against Extremist Discourse On-Line: The Case of
ISIS's Propaganda
Séraphin Alava and Rasha Nagem
22. Public Opinion Formation on the Far Right
Michael Adelmund and Uwe Engel
Preface
1. 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
2. The Scope of Computational Social Science
Claudio Cioffi-Revilla
3. Analytical Sociology amidst a Computational Social Science Revolution
Benjamin F. Jarvis, Marc Keuschnigg and Peter Hedström
4. Computational Cognitive Modeling in the Social Sciences
Holger Schultheis
5. Computational Communication Science: Lessons from Working Group
Sessions with Experts of an Emerging Research Field
Stephanie Geise and Annie Waldherr
6. A Changing Survey Landscape
Lars Lyberg and Steven G. Heeringa
7. Digital Trace Data: Modes of Data Collection, Applications, and
Errors at a Glance
Florian Keusch and Frauke Kreuter
8. Open Computational Social Science
Jan G. Voelkel and Jeremy Freese
9. Causal and Predictive Modeling in Computational Social Science
Uwe Engel
10. Data-driven Agent-based Modeling in Computational Social Science
Jan Lorenz
Section II. Privacy, Ethics, and Politics in CSS Research
11. Ethics and Privacy in Computational Social Science: A Call for
Pedagogy
William Hollingshead, Anabel Quan-Haase and Wenhong Chen
12. Deliberating with the Public: An Agenda to Include Stakeholder Input
on Municipal "Big Data" Projects
James Popham, Jennifer Lavoie, Andrea Corradi and Nicole Coomber
13. 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
14. Sensing Close-Range Proximity for Studying Face-to-Face Interaction
Johann Schaible, Marcos Oliveira, Maria Zens and Mathieu Génois
15. Social Media Data in Affective Science
Max Pellert, Simon Schweighofer and David Garcia
16. Understanding Political Sentiment: Using Twitter to Map the US 2016
Democratic Primaries
Niklas M Loynes and Mark J Elliot
17. The Social Influence of Bots and Trolls in Social Media
Yimin Chen
18. 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
19. 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
20. 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
21. Effective Fight Against Extremist Discourse On-Line: The Case of
ISIS's Propaganda
Séraphin Alava and Rasha Nagem
22. Public Opinion Formation on the Far Right
Michael Adelmund and Uwe Engel
1. 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
2. The Scope of Computational Social Science
Claudio Cioffi-Revilla
3. Analytical Sociology amidst a Computational Social Science Revolution
Benjamin F. Jarvis, Marc Keuschnigg and Peter Hedström
4. Computational Cognitive Modeling in the Social Sciences
Holger Schultheis
5. Computational Communication Science: Lessons from Working Group
Sessions with Experts of an Emerging Research Field
Stephanie Geise and Annie Waldherr
6. A Changing Survey Landscape
Lars Lyberg and Steven G. Heeringa
7. Digital Trace Data: Modes of Data Collection, Applications, and
Errors at a Glance
Florian Keusch and Frauke Kreuter
8. Open Computational Social Science
Jan G. Voelkel and Jeremy Freese
9. Causal and Predictive Modeling in Computational Social Science
Uwe Engel
10. Data-driven Agent-based Modeling in Computational Social Science
Jan Lorenz
Section II. Privacy, Ethics, and Politics in CSS Research
11. Ethics and Privacy in Computational Social Science: A Call for
Pedagogy
William Hollingshead, Anabel Quan-Haase and Wenhong Chen
12. Deliberating with the Public: An Agenda to Include Stakeholder Input
on Municipal "Big Data" Projects
James Popham, Jennifer Lavoie, Andrea Corradi and Nicole Coomber
13. 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
14. Sensing Close-Range Proximity for Studying Face-to-Face Interaction
Johann Schaible, Marcos Oliveira, Maria Zens and Mathieu Génois
15. Social Media Data in Affective Science
Max Pellert, Simon Schweighofer and David Garcia
16. Understanding Political Sentiment: Using Twitter to Map the US 2016
Democratic Primaries
Niklas M Loynes and Mark J Elliot
17. The Social Influence of Bots and Trolls in Social Media
Yimin Chen
18. 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
19. 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
20. 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
21. Effective Fight Against Extremist Discourse On-Line: The Case of
ISIS's Propaganda
Séraphin Alava and Rasha Nagem
22. Public Opinion Formation on the Far Right
Michael Adelmund and Uwe Engel