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madelyne xiao

@madelyne.github.io

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Reposted by madelyne xiao

Center for Digital Humanities @princetoncdh.bsky.social · 18/03/2026

In a panel on 3/26 from the Humanities Council & @princetoncitp.bsky.social, experts will share how AI is already impacting all aspects of the field of journalism – from national to small local newsrooms to data analysis, gathering and checking facts, ensuring source security, and what’s to come.

journalism.princeton.edu

AI x Journalism: Transforming the News — Journalism

Join the Humanities Council’s Program in Journalism and the Princeton Center for Information Technology Policy (CITP) for this special event on how artificial intelligence is changing journalism and n...

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Reposted by madelyne xiao

Clément Canonne @ccanonne.github.io · 06/06/2025

This is really cool: a flexible system, combining differential privacy and secure MPC to enable trend analysis on E2EE platforms (e.g., WhatsApp). Allows journalists to study the spread of misinformation, w/o compromising users' privacy. arxiv.org/abs/2505.23880 by Xiao, Jain, Gorelick,& Scheffler

Our system, Synopsis, accomplishes this goal by enabling journalists to look for trends in message data without ever accessing individual texts or being in a position to leak information about them. This also gives platform users the ability to donate their data for the public good without exposing the contents of their messages. Journalists are able to write natural language queries and see counts of how many semantically similar messages, or whether that count has reached a threshold, are present in the donated corpus.

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madelyne xiao @madelyne.github.io · 10/06/2025

thanks for the mention, clément! (also, i think we might've overlapped briefly at stanford -- hope you're well!)

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