Social Computing (TSC)


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Social Media


Editorial Charter

ACM Transactions on Social Computing (TSC) will seek to publish work that covers the full spectrum of social computing including theoretical, empirical, systems, and design research contributions. The editorial perspective is that social computing is fundamentally about computing systems and techniques in which users interact, directly or indirectly, with what they believe to be other users or other users’ contributions.  TSC  welcomes research employing a wide range of methods to advance the tools, techniques, understanding, and practice of social computing, including:  theoretical, algorithmic, empirical, experimental, qualitative, quantitative, ethnographic, design, and engineering research.  The editorial stance is that foundational algorithmic, econometric, psychological, sociological, and social science research has and will continue to have a profound influence on how social computing systems are designed, built and how they grow.

TSC particularly solicits research that designs, implements or studies systems that mediate social interactions among users, or that develops or studies theory or techniques for application in those systems. Examples of such social computing systems include, but are not limited to: instant messaging, blogs, wikis, social networks, social tagging, social recommenders, collaborative editors and shared repositories. 


The scope of research covered within TSC includes:

  • Understanding motivations for contributing to and participating in social computing systems.
  • Tools that help users understand the individual and collective roles of participants in social computing systems.
  • The influence of scale; how differing scales of human and machine participation changes the designs and adoptions of systems.
  • Micro-tasking systems and techniques for decomposing complex activities into recomposable tasks that can be completed by mixtures of people and machines.
  • System architectures and infrastructure for developing social computing platforms.
  • Foundational algorithmic analysis that accounts for human and machine data and runtime complexity.
  • The role of artificial agents in social computing spaces.
  • Research on privacy mechanisms -- both formal and interactive -- related to social computing data and systems.
  • Research on algorithms for personalization within a social computing context, including recommender systems and social matchmaking systems.
  • Research on crowdsourcing, collaborative content creation, productive social gaming, and other mechanisms and applications of aggregating individual contributions for a collective goal.
  • Research studying communications patterns in online communication forums.
  • Ethnographic case studies of social computing in situ.
  • Algorithms for extracting knowledge from social computing usage data and artifacts.

Recognizing that social computing is a fast-moving field, this list of topics is necessarily incomplete. The journal seeks to cover research that would be classified in the “Collaborative and Social Computing” divisions of the ACM 2012 Computing Classification System. However, research contributions from the wider disciplines that contribute to social computing such the social and economic sciences are welcome. Authors unsure of whether their work fits the scope of TSC should contact the Editor-in-Chief or any member of the Editorial Board.  

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