The 5th NLP4PI Workshop will take place at EMNLP2026 in Budapest!
We will be glad to see works empowering current advances of NLP and AI for various social impact like addressing pressing global challenges, poverty, hunger, healthcare, education, inequality, and climate change. The workshop fosters interdisciplinary collaboration, encouraging submissions that bridge NLP with fields like social science, journalism, economics, HCI, and NGOs of different domains.
Call for papers is out!
You can follow us on X @NLP4PosImpact and BlueSky @nlp4posimpact.bsky.social.
Barbara Plank
(LMU)
Shamsuddeen Hassan Muhammad
(Imperial College London)
Maria Antoniak
(University of Colorado Boulder)
A Quantitative Gap Audit of LLM-era NLP for Education: Validity, Deployment, and Multilingual Equity
A Safety-Engineered Consumer Mental-Health Assistant: A Deployment Case Report on Retrieval-First Grounding, Release Gates, and the Non-Clinical Boundary
Accessible Translation from Standard Arabic to Moroccan Sign Language: A Rule-Based System for Low-Resource Sign Languages
Agentic LLM for Information Access among Refugees: A Field Report from a Resource-Constrained Organization
Aligned for Whom? A Brazilian Research Agenda for Culturally Grounded AI Safety Evaluation
An Edge AI-Based Offline System for Educational Technology in Resource-Constrained Regions
Auditing Anti-Democratic Reinforcement and Political Safety in Large Language Models
Before You Trust the Count: Auditing Multilingual Sustainable Development Goal News
Beyond Helpfulness: A Teaching-over-Solving Diagnostic for Measuring Educational Impact in LLM Tutors
Beyond the Flag: Clinical Framing Closes the Moderation Gap in Suicide Risk Measurement
Bias in the Tails: How Name-conditioned Evaluative Framing in Resume Summaries Destabilizes LLM-based Hiring
BodyCam-VQA: Enhanced Body-Worn Camera Video Captioning via Multimodal Reasoning and Probe Question Generation
Causal Tutor: An Interactive Learning and Research Tool for Causal Inference
Computational Preservation of Endangered Pamiri Languages through NLP: Insights from Bartangi and a Roadmap for Digital Inclusion
Conjoint Auditing: A Framework for Measuring the Social Impact of LLM Deployment
Correction Is Not Response: Reframing the Unverifiable Majority of Health Infodemic Discourse as Communicative Acts
CritiSense: Critical Digital Literacy and Resilience Against Misinformation
Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
Detecting Coordinated Inauthentic Behavior on Social Media with Memory-Guided Causal Inference
Evaluating Bias in LLM-Synthetic Data across Majority and Minority Groups on General and Stigmatized Topics: The Case of Multicultural and Monocultural Adolescents in South Korea
Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement
Evaluating Therapist-in-the-Loop NLP in Comprehension Rehabilitation for Children with SEND
From Signals to Barriers: An LLM-Assisted Bow-Tie Framework for NGO Civic-Space Risk Monitoring
Generating Curriculum Grounded Nepali Questions Based On Bloom’s Taxonomy
Grounded, Compute-Efficient LLM Policy Agents for Energy-Poverty Equity in Physically-Constrained Peer-to-Peer Energy Markets
Hate Speech as a Conflict-Period Marker: Evidence from Arabic Telegram in Sudan
Helping Figures Tell their Story! Paper-Grounded Video Generation Explaining Complex Scientific Figures
How Does Alignment Tuning Shape Representations of Sycophancy and Related Cue-Induced Biases in LLMs?
How Persona and Message Type in Conversation Initiation Influence Learners' Experience with Educational Chatbots
Human Values in Stories: Narrative-informed Directions for Value Discovery
Improving Large Language Model Safety with Contrastive Representation Learning
Is Multilingual LLM Watermarking Truly Multilingual? Scaling Robustness to 100+ Languages via Back-Translation
LLM Mental Health Response Manipulation
MATCHA: LLM-Based Chart Summarization for Screen Reader Users
Measuring Public Perceptions of the Social Impacts of Artificial Intelligence in YouTube Discourse
Measuring the Impact of LLM-Generated Scientific Summaries for Neurodivergent Readers
Meridian: A Bivariate Perplexity Architecture for Trustworthy and Equitable AI Text Detection
NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings
On the Neutrality of Model Confidence in German and English Gender-Bias Benchmarks
Predictive Representation Alignment Improves Generalization in LLM Safety
Preference Optimization Improves Definition Generation: Semantic Change in EU Institutional Sustainable Finance Disclosures
Preserving Historical Truth: Detecting Historical Revisionism in Large Language Models
Reading Between the Signs: Predicting Future Suicidal Ideation from Adolescent Social Media Texts
Right-Wing Rock or Just Rock? A Computational Linguistic Analysis of Frei.Wild
Roleplaying with Structure: Synthetic Therapist-Client Conversation Generation from Questionnaires
SEAL: SocioEconomic Alignment in LLMs
SOLIAS: A Reporting Standard for Social-Impact Claims in NLP
StageWell: A Process-Aligned Chinese Corpus for Positive-Psychology Support Dialogue
Temporal Epistemic Graph of Thought: Uncertainty over Latent Reasoning Structure for Selective Abstention in Clinical Prediction
The AI Therapist: ChatGPT Therapy Users at the Boundary of Human Therapy, Disillusionment, and AI Companionship on Reddit
The Dynamics of Delusion: Modeling Bidirectional False Belief Amplification in Human-Chatbot Dialogue
Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports
Tracing Multilingual Representations in LLMs with Cross-Layer Transcoders
TutorLens: An Adaptive Framework for Evaluating AI Tutors in Active Learning Settings
UkrMeme: Multimodal Explainable Persuasion Detection in Ukrainian Memes
Uncertainty Quantification to Improve the Reliability of LLM-Based Hate Speech Detection
When Cultures Move: Measuring and Improving Multicultural Text-to-Video Generation
When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
Where Do Predictions Go? Class-Level Shifts and Carbon Cost in Stance Detection
Who Gets Annotated? Impact-Aware Active Learning for Robust Humanitarian Text Classification
Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
Katherine Atwell (Northeastern University)
Angana Borah (University of Michigan)
Dr. Daryna Dementieva (Technical University of Munich)
Prof Elisa Kreiss
(University of California)
Dr. Neema Kotonya (Dataminr)
Jiarui Liu
(Carnegie Mellon University)
Liz Olson
(Dataminr)
Ruyuan Wan (Pennsylvania State University)
Prof Jieyu Zhao (University of Southern California)
Prof Rada Mihalcea (University of Michigan)
Dr. Joel Tetreault (Dataminr)
Dr. Zhijing Jin (University of Toronto)
In our workshop, we aim to connect social needs and the power of NLP. Our missions are
We encourage research work on NLP for Social Good (NLP4SG): Papers can submit to our workshop according to this call for papers. As a reference, we provide a list of NLP4SG papers in this list.
We foster conversations between researchers and people working on the frontiers of social good: In every workshop, we host keynotes, panels, and birds-of-a-feather discussions. See our ACL 2021 Workshop, EMNLP 2022 Workshop, EMNLP 2024 Workshop and slack.
Workshop Date: October 2026, Budapest, Hungary. Central European Time (CET).
Live streaming on Zoom will be enabled for virtual participants (zoom link will be posted).
As an output of this workshop, we will record our joint research brainstormings in this doc
Subscribe to our Google Calendar: link