- Copyright Page
- About the contributors
- Communication in the Networked Age
- Networks and Information Flow: The Second Golden Age
- Rebooting Mass Communication: Using Computational and Network Tools to Rebuild Media Theory
- Propagation Phenomena in Social Media
- Dynamical Processes in Time-Varying Networks
- Partition-Specific Network Analysis of Digital Trace Data: Research Questions and Tools
- How Can Computational Social Science Motivate the Development of Theories, Data, and Methods to Advance Our Understanding of Communication and Organizational Dynamics?
- The New Dynamics of Organizational Change
- Online Communication by Emergency Responders during Crisis Events
- Studying Populations of Online Communities
- Gender and Networks in Virtual Worlds
- Understanding Social Dynamics Online: Social Networks, Social Capital, and Social Interactions
- The Analysis of Social Capital in Digital Environments: A Social Investment Approach
- Multiplying the Medium: Tie Strength, Social Role, and Mobile Media Multiplexity
- Revolutionizing Mental Health with Social Media
- The Neuroscience of Information Sharing
- Political Communication Research in a Networked World
- Modeling and Measuring Deliberation Online
- Moving Beyond Sentiment Analysis: Social Media and Emotions in Political Communication
- Dynamics of Attention and Public Opinion in Social Media
- A Satisficing Search Model of Text Production
- Studying Networked Communication in the Middle East: Social Disrupter and Social Observatory
- Mobile Space and Agility as the Subversive Partner
- One Foot on the Streets, One Foot on the Web: Analyzing the Ecosystem of Protest Movements in an Era of Pervasive Digital Communication
- Our Stage, Our Streets: Brooklyn Drag and the Queer Imaginary
- Digital Mapping of Urban Mobility Patterns
- Research on Mobile Phone Data in the Global South: Opportunities and Challenges
- The Ethics of Digital Research
- Digital Trace Data and Social Research: A Proactive Research Ethics
- A Practitioner’s Guide to Ethical Web Data Collection
- Responsible Research on Social Networks: Dilemmas and Solutions
- Unintended Consequences of Using Digital Methods in Difficult Research Environments
- Ethical Issues in Internet Research: The Case of China
- The Past and Future of Communication Research
Abstract and Keywords
Online communication is often characterized as dominated by antagonism or groupthink, with little in the way of meaningful interaction or persuasion. This essay examines how one can detect and measure instances of more productive conversation online, considered through the lens of deliberative theory. It begins with an examination of traditional deliberative democracy, then explores how these concepts have been applied to online deliberation and by those studying interpersonal conversation in social media more generally. These efforts to characterize and measure deliberative quality have resulted in a myriad of criteria, with elaborate checklists that are often as superficial as they are complex. This essay instead proposes targeting what is arguably the core deliberative process—a mutual consideration of conceptually interrelated ideas—in order to distinguish the better from the worse and to construct better conceptual structures. The essay finishes by discussing two computational models of argument quality and interdependence as templates for richer, scalable, nonpartisan measures of deliberative discussion online.
Nick Beauchamp in an Assistant Professor of Political Science, core faculty member of the NULab for Text, Maps and Networks and core faculty member of the Network Science Institute at Northeastern University, Boston, MA.
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