Social Computing
By analyzing natural social interactions and applying behavioral theories, social computing researchers have identified what makes online social interaction and communities successful and how to build better collaborative digital user experiences.
HCII faculty for decades have been leaders in research on computer-supported cooperative work, computer-mediated communication, the analysis and design of online communities, and investigating the social impacts technology has on society.
Today, social computing platforms and tools are a part of everyday life for many. For example, Wikis enable users to collaboratively edit content and share knowledge; industry-specific platforms offer community and collaboration (eg. GitHub for developers); platform-based workers (eg. ridesharing, freelancing, or crowdsourcing) find work and community online; and social networking platforms provide online space for community groups and real-time communication.
Students who want to learn more about social computing might be interested in the following HCII courses:
PolicyCraft
PROJECTCommunity and organizational policies are typically designed in a top-down, centralized fashion, with limited input from impacted stakeholders. This can r...
Purpose Mode Helps Social Media Users Stay Focused on Their Desired Tasks
NEWSIf you’re an active user of social media platforms, chances are you’ve felt distracted on more than one occasion while staring at your phone or tablet....
CMU at CHI 2025
NEWSOur halls are abuzz with talk of “CHI” (pronounced “kai”), the nickname for the upcoming conference on computer human interaction (CHI)....
Siri, It Hurts When You Constantly Misunderstand Me. You too, Alexa
NEWSUsers of voice assistants know the frustration of being misunderstood by a machine. But for people who lack a standard American accent, such miscommunication can go beyond simply irritatin...
CMU at CHI 2024
NEWSResearchers from the Human-Computer Interaction Institute (HCII) and several other Carnegie Mellon University schools and disciplines contributed to more than 40 papers accepted to the 202...
Wikibench
PROJECTAI tools are increasingly deployed in community contexts. However, datasets used to evaluate AI are typically created by developers and annotators outside...
What Makes Digital Support Effective?
PROJECTOnline mental health support communities have grown in recent years for providing accessible mental and emotional health support through volunteer counsel...
Shaping Online Dialogue
PROJECTCommunity rules play a key part in enabling or constraining the behaviors of members in online communities. However, little is unknown regarding whether a...
Measuring the stigmatizing effects of a highly publicized event on online mental health discourse
PROJECTMedia coverage has historically played an influential and often stigmatizing role in the public’s understanding of mental illness through harmful language...
Matching for Peer Support
PROJECTOnline mental health communities (OMHCs) have emerged in recent years as an effective and accessible way to obtain peer support, filling crucial gaps of t...
Less Is More: 'Stingy' Bots That Hoard Resources Can Still Boost Human Relationships
NEWSA recent study from Carnegie Mellon University and Cornell University researchers unveiled how artificial intelligence impacts human welfare in social networks. ...
Eye into AI
PROJECTRecent developments in explainable AI (XAI) aim to improve the transparency of black-box models. However, empirically ...