Uses computational social science and language analysis of social media to reason about mental health and well-being.
Accessibility, health & wellbeing
Social computing & responsible AI
Language & society
2026(Re)mediators of Epistemic Injustice: Generative AI and Hermeneutic Resource Provision in Intimate Partner ViolenceIn Proceedings of the Conference on Human Factors in Computing Systems. CHI , to appear
2026Adverse Mental Health Events As a Trigger for Online Harassment: Evidence from Online Conversations of Youth Experiencing Psychiatric HospitalizationsIn Proceedings of the International AAAI Conference on Web and Social Media, ICWSM , to appear
19 T1 · 76 papers · 23 members · 129 alumni
GBCambridgeComputer Science and Technology
Hatice GunesFull Professor of Affective Intelligence and Robotics
Leads the AFAR Lab on affective computing and social signal processing, building socio-emotionally intelligent social robots and adaptive human-robot…
Social computing & responsible AI
Human-robot interaction & assistive robots
Affective & health speech
2026Graph in Graph Neural NetworkIJCV
2026Reimagining Social Robots as Recommender Systems: Foundations, Framework, and ApplicationsHRI
18 T1 · 76 papers · 7 members · 11 alumni
USNYUComputer Science and Engineering (Tandon)
Julia StoyanovichAssociate Dean of AI Initiatives; Professor; Director of the Center for Responsible AI
Works on responsible AI and data management, including fairness in ranking, data equity and AI governance and education.
Trustworthy & safe ML
Social computing & responsible AI
Data management & big data
2026Epistemic Parity: Reproducibility as an Evaluation Metric for Differential PrivacyCommun. ACM
2026Seasoning Data Modeling Education with GARLIC: A Participatory Co-Design FrameworkEDBT/ICDT Workshops
Studies human-centered AI and social computing, including machine learning on social media to understand mental health and well-being.
Accessibility, health & wellbeing
Social computing & responsible AI
Language & society
2026“In my defense, only three hours on Instagram”: Designing Toward Digital Self-Awareness and WellbeingCHI
2026Designing Beyond Language: Sociotechnical Barriers in AI Health Technologies for Limited English ProficiencyCHI
16 T1 · 78 papers · 32 members · 20 alumni
GBEdinburghSchool of Informatics
Zee TalatChancellor's Fellow in Responsible Machine Learning
Works between machine learning and science and technology studies, developing critiques of ML and content moderation methods such as abusive language detection.
Recognition, detection & segmentation
Social computing & responsible AI
2026Aligning Stuttered-Speech Research with End-User Needs: Scoping Review, Survey, and GuidelinesInterspeech
2026FedMental: Federated Learning For Mental Health DetectionACL
Studies responsible AI from a human-centered perspective, including user-driven algorithm auditing.
Interfaces & interaction techniques
Social computing & responsible AI
2026AI LEGO: Scaffolding Industrial Cross-Functional Collaborations in Responsible AI During the Early Design StagesCSCW
2026Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative NewsworkCHI
Designs social computing systems such as feed curation and content moderation so that algorithmic decisions are understandable and contestable, including AI…
Social computing & responsible AI
2026Deception at Scale: Deceptive Designs in 1K LLM-Generated Ecommerce ComponentsCHI
2026Long Story Short: Auditing U.S. Political Polarization in Recommendations for Long- vs. Short-form Videos on YouTubeWWW
Applies natural language processing, social network analysis and agent-based modelling to study social media, including misinformation, hate speech and bots.
Language & society
Reasoning & agents
Social computing & responsible AI
2026‘God says we are right!’: The Interplay between Religion and Propaganda on Arabic Social MediaCHI
2026Beyond the Game: Comparing Political News Coverage and Twitter Discussions during the 2022 FIFA World CupJournal of Quantitative Description: Digital Media
7 T1 · 30 papers · 15 members · 20 alumni
USMichiganSchool of Information
Dallas CardAssistant Professor, School of Information
Studies reliable and responsible machine learning and uses NLP to analyze society, history and culture.
Language & society
Social computing & responsible AI
2026Catching Fire in the News: The Necessary Conditions for Media StormsCambridge University Press
2025Coordinating Chaos: A Structured Review of Linguistic Coordination MethodologiesACL
Researches socio-algorithmic systems, including algorithmic fairness, AI ethics and data-intensive analysis of political communication on platforms.
Social computing & responsible AI
Language & society
Signal processing & information theory
2026Operationalizing Pluralistic Values in Large Language Model Alignment Reveals Trade-offs in Safety, Inclusivity, and Model BehaviorAAAI
2026Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert CollaborationFAccT
7 T1 · 18 papers · 5 members
USMichiganComputer Science and Engineering
Farnaz JahanbakhshAssistant Professor, EECS – Computer Science and Engineering
Studies social computing and human-AI interaction with a focus on pluralism, building user-controlled content moderation and feed curation tools and aligning…
Social computing & responsible AI
Human-AI collaboration & trust
Generative & foundation models
2026Interpretive Cultures: Resonance, Randomness and Negotiated Meaning for AI-Assisted Tarot DivinationCHI
2026Personalized Alignment of Language Models with Human Value ProfilesEMNLP