| Nov 12, 2024 | Our demo “AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism” appeared at CSCW 2024 in Costa Rica! |
| Oct 26, 2024 | I presented our work “The speed of news in Twitter (X) versus radio” at this year’s C+J Symposium. |
| Sep 26, 2024 | NeurIPS 2024 has accepted our paper “Consent in Crisis: The Rapid Decline of the AI Data Commons”! |
| Sep 20, 2024 | Our new paper “On the Relationship between Truth and Political Bias in Language Models” has been accepted for a main-conference presentation at EMNLP 2024! |
| Aug 15, 2024 | I presented our work “ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings” at TextGraphs 2024, hosted this year at ACL in Bangkok. |
| Jul 18, 2024 | Our paper “The speed of news in Twitter (X) versus radio” was presented at this year’s IC2S2! Check out a recorded version of the talk here. |
| Jul 10, 2024 | Our paper “A Large-Scale Audit of Dataset Licensing and Attribution in AI” has been accepted at Nature Machine Intelligence! This paper represents the first phase of work on the Data Provenance Initiative. |
| Jul 02, 2024 | CSCW 2024 has accepted our paper “Bridging Dictionary: AI-Generated Dictionary of Partisan Language Use.” |
| Jul 02, 2024 | Our new paper, “AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism,” has been accepted at CSCW 2024! Check out the deployed demo at frontline.ccc-mit.org. |
| Jun 17, 2024 | New accepted paper! Our work “ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings” will appear at TextGraphs 2024, hosted this year at ACL. |
| Jun 06, 2024 | Our position paper, “Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?” has been selected as a spotlight paper (top 3\%) at ICML 2024! |
| May 10, 2024 | Our paper “The speed of news in Twitter (X) versus radio” has been accepted at Scientific Reports! |
| May 01, 2024 | New paper! ICML 2024 has accepted our paper “Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?.” |
| Oct 30, 2023 | Our entry in MIT’s IGNITE Generative AI Entrepreneurship Competition placed as a finalist, winning a $5,000 award. |
| Sep 01, 2023 | MIT has selected our work on the Data Provenance Initiative for a Generative AI Impact Award. The award includes $70,000 of research funding. |
| Jul 11, 2023 | Our paper Dubbing in Practice was presented at this year’s ACL. |
| Dec 13, 2022 | TACL has accepted our paper “Dubbing in Practice: A Large-Scale Study of Human Localization With Insights for Automatic Dubbing”! |