World-class research

Our research team brings academic rigor to Meedan’s projects and tools. Through partnerships with the Oxford Internet Institute, Birmingham City University, and the University of Connecticut, among others, we have contributed research and analysis to dozens of peer-reviewed articles in the fields of computer science and communications.

Fairness and bias in AI

The benefits, risks and bounds of personalizing the alignment of large language models to individuals

Nature Machine Intelligence

Information ecosystems

The Syrian Archive Digital Memory Project: Archiving as Testimony, as Evidence, as Creative Practice

Visual Anthropology

Information ecosystems

SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models

Information ecosystems

Into the crossfire: evaluating the use of a language model to crowdsource gun violence reports

Fairness and bias in AI

The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Information ecosystems

Multimodal analysis of disinformation and misinformation

Royal Society Open Science

Fairness and bias in AI

The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models

Socially Responsible Language Modelling Research (SoLaR) @ NeurIPs 2023

Information ecosystems

Query Rewriting for Effective Misinformation Discovery

AACL 2023: Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics

Information ecosystems

How can we combat online misinformation? A systematic overview of current interventions and their efficacy

Information ecosystems

Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning

Proceedings of the Third Workshop on Threat, Aggression and Cyberbullying (TRAC 2022)

Information ecosystems

Fairness and bias in AI

SemEval-2022 Task 8: Multilingual news article similarity

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)

Information ecosystems

Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions

SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval