Conference Information

CSCW 2026: ACM Conference on Computer-Supported Cooperative Work and Social Computing

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Submission Date:
2026-01-13
Notification Date:
Conference Date:
2026-10-18
Location:
USA
Years:
29
CCF: A   ICORE: A   QUALIS: A1   Viewed: 65340   Tracked: 74   Attend: 5

Conference Partner Index (CP-I)

86.8 / 100
Ranked #112 of 5,682 conferences · Top 2%

#6 of 154 in Human-Computer Interaction #6 of 253 in Information Systems & Web

Academic recognition (35%)
100
Submission selectivity (20%)
78
Editions held (20%)
92
Community attention (10%)
57
Public record completeness (15%)
80

Inputs used: Listed as CCF A, ICORE A, QUALIS A1 · Acceptance rate: 30.5% (mean of 5 editions on file) · Editions on record: 30 · Researchers following it here: 74 · Researchers who opened this page in the past 24 months: 7

Missing from the public record: Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-18

Call For Papers

CSCW 2026 (ACM Conference on Computer-Supported Cooperative Work and Social Computing) is a CCF A / ICORE A / QUALIS A1 conference held in USA on 2026-10-18. The paper submission deadline is 2026-01-13.

The ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) is the premier venue for human-centered research in the design, use, and evaluation of technologies that support or affect social, cooperative, and collaborative practices in groups, organizations, communities, and networks. Bringing together top researchers and practitioners, CSCW 2026 will explore topics across sociotechnical domains of work, home, education, healthcare, the arts, design, entertainment, and ethics, including social computing and social media, crowdsourcing, and technologies for co-located or remote collaboration, communication, education, work articulation, coordination, awareness, and information sharing. Papers are expected to report on novel results from human-centered research discussing the design, development, use, and/or analysis of CSCW and social computing systems; or introduce new human-centered approaches to the conceptualization or critical analysis of such systems. Submissions exploring how computing technologies — including those linked to recent developments in AI, machine learning, robotics, and AR/VR — relate to questions of race, indigeneity, gender, and the environment are particularly encouraged, providing they are properly contextualized within cooperative, collaborative, or social computing issues. Submissions by members of underrepresented groups are particularly welcome. Authors exploring historical and sociotechnical perspectives on CSCW systems are also encouraged to submit. In general, contributions must have a focus on social aspects of technology mediation and be properly contextualized in the CSCW literature, with clear reference to CSCW concepts and/or theories informing, being affected or being proposed. Please note that papers whose research contributions are primarily of relevance or benefit to individual users will be considered out of scope. For example, this would include papers whose major contribution is on user research findings that inform the design of a system primarily focused on benefiting a sole, individual user. This would also include research on a collaboration between a single user and any number of AI agents. Additionally, systems-based or algorithmic research not making explicit how it involves aspects of cooperative, collaborative or social computing are not within the scope of CSCW. We invite contributions to CSCW across a variety of human-centered research techniques, methods, approaches, and domains, including: Social and crowd computing. Studies, theories, designs, mechanisms, systems, and/or infrastructures addressing social media, social networking, wikis, blogs, online gaming, crowdsourcing, collective intelligence, virtual worlds, or collaborative information behaviors. CSCW and social computing system development. Hardware, architectures, infrastructures, interaction design, technical foundations, algorithms, and/or toolkits that are explored and discussed within the context of building new social and collaborative systems and experiences. Methodologies and tools. Novel human-centered methods, or combinations of approaches and tools used in building collaborative systems or studying their use. Critical, historical, ethnographic analyses. Studies of technologically enabled social, cooperative, and collaborative practices within and beyond work settings illuminating their historical, social, and material specificity, and/or exploring their political or ethical dimensions. Empirical investigations. Findings, guidelines, and/or studies of social practices, communication, cooperation, collaboration, or use, as related to CSCW and social technologies. Domain-specific social, cooperative, and collaborative applications. Including applications to healthcare, transportation, design, manufacturing, gaming, ICT4D, sustainability, education, accessibility, global collaboration, or other domains. Ethics and policy implications. Analysis of the implications of sociotechnical systems in social, cooperative and collaborative practices, as well as the algorithms that shape them. CSCW and social computing systems based on emerging technologies. Including mobile and ubiquitous computing, game engines, virtual worlds, multi-touch, novel display technologies, vision and gesture recognition, big data, MOOCs, crowd labor markets, SNSs, computer-aided or robotically-supported work, and sensing systems. Crossing boundaries. Studies, prototypes, or other investigations that explore interactions across fields of research, disciplines, distances, languages, generations, and cultures to help better understand how CSCW and social systems might help transcend social, temporal, and/or spatial boundaries. Send queries about paper submissions to [email protected]. To promote work-life balance, we have set all deadlines on Tuesdays to avoid weekends at any time zone. Note that the submission system is usually opened two weeks before each deadline (submission and revision).
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 26.3% over 8 years (1996–2014).

YearSubmittedAcceptedAccepted(%)
201449713427%
201339013935.6%
201241516439.5%
20041765330.1%
20021933920.2%
20001993618.1%
19982204118.6%
19962004221%

Best Papers

YearBest Papers
2025Data Visualization Lineages
2025Beyond the Individual: A Community-Engaged Framework for Ethical Online Community Research
2025“I’ve talked to ChatGPT about my issues last night.”: Examining Mental Health Conversations with Large Language Models through Reddit Analysis
2025"Near Data" and "Far Data" for Urban Sustainability: How Do Community Advocates Envision Data Intermediaries?
2025WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI
2025Understanding the Prevalence of Caste: A Critical Discourse Analysis of Caste-based Marginalization on X
2025Understanding Data Usage when Making High-Stakes Frontline Decisions in Homelessness Services
2025Punctuated and Prolonged: A Workers’ Inquiry into Infrastructural Failures in Bus Transit
2025Peer Recommendation Interventions for Health-related Social Support: a Feasibility Assessment
2025Harm in Layers: Compositions of Misinformative Hate in Anti-Asian Speech and Their Impacts on Perceived Harmfulness
2025Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care
2025The Accessibility Paradox: How Blind and Low Vision Employees Experience and Negotiate Accessibility in the Technology Industry
2024Embedding Democratic Values into Social Media AIs via Societal Objective Functions
2024From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX
2024Mending the Fabric: the Contentious, Collaborative Work of Repairing Broadband Maps
2024Sounds Good? Fast and Secure Contact Exchange in Groups
2024StyleWe: Towards Style Fusion in Generative Fashion Design with Efficient Federated AI
2023Crossing the Threshold: Pathways into Makerspaces for Women at the Intersectional Margins
2023Towards Intersectional Moderation: An Alternative Model of Moderation Built on Care and Power
2023The Value of Activity Traces in Peer Evaluations: An Experimental Study
2023SUMMIT: Scaffolding Open Source Software Issue Discussion through Summarization
2023Measuring User-Moderator Alignment on r/ChangeMyView
2023Making Meaning from the Digitalization of Blue-Collar Work
2023Hate Raids on Twitch: Echoes of the Past, New Modalities, and Implications for Platform Governance
2023Data Subjects' Perspectives on Emotion Artificial Intelligence Use in the Workplace: A Relational Ethics Lens
2023Cura: Curation at Social Media Scale
2022The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence
2022Collectives and Their Artifact Ecologies
2022Auggie: Encouraging Effortful Communication through Handcrafted Digital Experiences
2021Computer-Mediated Consent to Sex: The Context of Tinder
2021"The Network Is an Excuse": Hardware Maintenance Supporting Community
2021Towards Accessible Remote Work: Understanding Work-from-Home Practices of Neurodivergent Professionals
2021To Reuse or Not To Reuse? A Framework and System for Evaluating Summarized Knowledge
2021Time for Historicism in CSCW: An Invitation
2021Seeing Like an Infrastructure: Low-resolution Citizens and the Aadhaar Identification Project
2021Resisting Racism in Tech Design: Centering the Experiences of Black Youth
2021Reflect, not Regret: Understanding Regretful Smartphone Use with App Feature-Level Analysis
2021Interdependence in Action: People with Visual Impairments and their Guides Co-constituting Common Spaces
2021Integrating Cultural Relevance into a Behavioral mHealthIntervention for Native American Youth
2021Every Cloud Has a Silver Lining: Exploring Experiential Knowledge and Assets of Family Caregivers
2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
2020Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision
2020“So-called privacy breeds evil”: Narrative Justifications for Intimate Partner Surveillance in Online Forums
2020"They Just Don't Get It": Towards Social Technologies for Coping with Interpersonal Racism
2020Sociocultural Dimensions of Tracking Health and Taking Care
2020Socio-Spatial Comfort: Using Vision-based Analysis to Inform User-Centred Human-Building Interactions
2020How We've Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis
2020Decolonizing Tactics as Collective Resilience: Identity Work of AAPI Communities on Reddit
2020CommunityClick: Capturing and Reporting Community Feedback from Town Halls to Improve Inclusivity
2019Deconstructing Community-Based Collaborative Design: Towards More Equitable Participatory Design Engagements
2019Does Transparency in Moderation Really Matter?: User Behavior After Content Removal Explanations on Reddit
2019How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis Services
2019How Data Scientists Use Computational Notebooks for Real-Time Collaboration
2019Sensing (Co)operations: Articulation and Compensation in the Robotic Operating Room
2019The Principles and Limits of Algorithm-in-the-Loop Decision Making

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