ACM Transactions on Social Computing (TSC) seeks 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. Social computing will continue to be shaped by foundational algorithmic, econometric, psychological, sociological, and social science research, and these broad-based perspectives will continue to have a profound influence on how social computing systems are designed, built and how they grow.
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ACM Updates Its Peer Review Policy
ACM is pleased to announce that its Publications Board has approved an updated Peer Review Policy. If you have any questions regarding the update, the associated FAQ addresses topics such as confidentiality, the use of large language models in the peer review process, conflicts of interest, and several other relevant concerns. If there are any issues that are not addressed in the FAQ, please contact ACM’s Director of Publications, Scott Delman.
New ACM Policy on Authorship
ACM has a new Policy on Authorship, covering a range of key topics, including the use of generative AI tools. Please familiarize yourself with the new policy and the associated list of Frequently Asked Questions.
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