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Stephanie Wang

@stephanietwang.bsky.social
92 followers 113 following 16 posts

CS PhD @ Penn. AI audits, computational social science. SI fellow @ Stanford RegLab. she/her steph-w.github.io

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Reposted by Stephanie Wang
julia kamin @juliakamin.bsky.social · 26/09/2026
Hi all you researchers looking for ways to conduct independent, ecologically valid research on social media design - Great new paper for you: "Open Platform Field Experiments: Expanding the Design Space of Experimental Research on Social Media" arxiv.org/pdf/2609.21608
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Stephanie Wang @stephanietwang.bsky.social · 22/09/2026
Excited to share a working preprint on GenAI platforms and publishers! We study the causal effects of AI Overviews and AI Mode on users’ behavior, perceptions, & traffic to web publishers. Co-led w/ @jlgleason.bsky.social , & Yakov Bart, Christo Wilson, and Danaé Metaxa. arxiv.org/abs/2608.18352 1/
arxiv.org
AI in Search Reduces Publisher Referrals Without Improving User Experience: Experimental Evidence
The integration of generative AI into web search delivers synthesized answers to user queries, changing how people navigate and assess information, while raising concerns about the downstream impacts ...
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Mayor Zohran Kwame Mamdani @mayor.nyc.gov · 20/09/2026
We just released the Mayor's Management Report for Fiscal Year 2026, and here's what we found: pothole politics is working and young New Yorkers are finding a government that serves them. Learn more at on.nyc.gov/managementreport
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dan bateyko @dbateyko.bsky.social · 08/09/2026
Local law still formally mandates racial segregation. In 2026. We built the largest dataset of local laws and used LLMs to search for discriminatory provisions across the nation. What we found should not still be on the books. hai.stanford.edu/policy/makin...
hai.stanford.edu
Making Local Law Legible: LLM-Assisted Detection of Discrimination | Stanford HAI
This brief demonstrates the potential of LLM-assisted review to accelerate legal reform.
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Nick Diakopoulos @ndiakopoulos.bsky.social · 27/08/2026
🎺 Announcing the Agentic AI Investigative Journalism Challenge Winners! A few months ago we challenged journalists and computing/info/data scientists to develop agent skills for Claude that could be used to advance investigative journalism.
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Stanford Tech Impact and Policy Center @techimpactpolicy.bsky.social · 22/07/2026
As #TSRConf turns 5, we’re looking ahead to the major conversations shaping #TrustAndSafety in 2026.
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Sachita Nishal @sachnishal.bsky.social · 04/07/2026
@jackbandy.com and I are presenting new work on gender bias in story generation at the EvalEval workshop @ #ACL2026! We know tropes in film and TV are often implicitly gendered, i.e., nothing in the trope's description marks it as gendered, but one gender is overrepresented in creative depictions.
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Reposted by Stephanie Wang
andrea wen-yi wang @andreawwenyi.bsky.social · 03/07/2026
ABS works in baseball coz MLB recognized that if u only care about optimizing call accuracy, the tech would destroy the sport. They spent 7 years finding a solution that balance accuracy, entertainment, speed, and the art of baseball. (we wrote a FAccT paper on this: arxiv.org/abs/2605.16237)
arxiv.org
Inside Baseball: The Automated Ball-Strike System as an Object Lesson in Technological Rule Enforcement
Clearly-defined rules are often assumed to be straightforward to automate and evaluate. We challenge this assumption through an in-depth study of Major League Baseball's (MLB) seven-year experimentati...
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Reposted by Stephanie Wang
Mel Andrews @bayesianboy.bsky.social · 17/06/2026
When utilized in literature review, LLMs consistently 1. fail to mention female authors in female-led literatures, 2. insist that men are more influential or more heavily cited when this is contradicted by objective citation counts, and 3. attribute women’s work to hallucinated male scholars.
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Stephanie Wang @stephanietwang.bsky.social · 25/06/2026
New paper in #FAccT2026 by Megha Govindu, myself, Sorelle Friedler and Danaé Metaxa! Motivated by genAI’s potential involvement in media production, we leverage network measures to evaluate gender biases in LLM-generated film screenplays. Kudos to @meghag.bsky.social for leading this endeavor ✨
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Stephanie Wang @stephanietwang.bsky.social · 20/05/2026
i’m settling in at stanford reglab this summer working on legal applications of nlp! while i’m back, would love to meet and catch up with folks in the bay👋
neukom building exterior
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Reposted by Stephanie Wang
Sachita Nishal @sachnishal.bsky.social · 08/04/2026
Attending #CHI2026 in Barcelona? Do you study news and online information ecosystems in HCI? Come hang out with us at lunch! @mariannealq.bsky.social and I are hosting a meetup for folks in this research space on April 13 (Mon), 1-2.30pm! Please RSVP by April 11 (Sat): forms.gle/aKmy3pv47S5M...
forms.gle
HCI + News Lunch @ CHI 2026
Hello! We're excited to bring together researchers and designers working at the intersection of HCI and news / information ecosystems, who will be at CHI 2026. It's a chance to meet others in the comm...
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Reposted by Stephanie Wang
Aleksandra Urman @aurman21.bsky.social · 19/11/2025
Google AI overviews now reach over 2B users worldwide. But how reliable are they on high stakes topics - for instance, pregnancy and baby care? We have a new paper - led by Desheng Hu, now accepted at @icwsm.bsky.social - exploring that and finding many issues Preprint: arxiv.org/abs/2511.12920 🧵👇
arxiv.org
Auditing Google's AI Overviews and Featured Snippets: A Case Study on Baby Care and Pregnancy
Google Search increasingly surfaces AI-generated content through features like AI Overviews (AIO) and Featured Snippets (FS), which users frequently rely on despite having no control over their presen...
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Stephanie Wang @stephanietwang.bsky.social · 02/05/2025
had a lovely time at the News Futures workshop and my first CHI conf with some amazing folks 🌸
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Reposted by Stephanie Wang
Hope Schroeder @hopeschroeder.bsky.social · 27/04/2025
Excited to be presenting "LLMs in Qualitative Research: Uses, Tensions, and Intentions" with @mariannealq.bsky.social at #CHI2025 today! 🆕 paper: dl.acm.org/doi/10.1145/...
dl.acm.org
Large Language Models in Qualitative Research: Uses, Tensions, and Intentions | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
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Reposted by Stephanie Wang
Hita Kambhamettu @hitakam.bsky.social · 27/04/2025
I'm at #CHI2025! 🇯🇵 🌸 Presenting our LBW "Traceable Texts and Their Effects". We studied how phrase-level links from AI summaries to their sources influence the reading of complex texts. 🕥 April 30 at 10:30a & 3:40p 📍North 1F Interested in text augmentation or improving source transparency? Drop by!
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Reposted by Stephanie Wang
Nick Diakopoulos @ndiakopoulos.bsky.social · 25/04/2025
LLMs show a lot of utility for analyzing content at scale. Here's @stephanietwang.bsky.social's write-up for GAIN on how she and collaborators used LLMs to examine political content on TikTok: generative-ai-newsroom.com/whats-politi...
generative-ai-newsroom.com
What’s Political on TikTok? A User-Centered Approach
Using audience perspectives and LLMs to map out the political landscape on TikTok.
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Reposted by Stephanie Wang
Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 25/11/2024
This @acm-cscw.bsky.social paper confirms the findings of the recent Nature paper on chrono feeds. Algorithmic feeds lead to more centrist, trustworthy content, but have little impact on user behavior. An independent audit of platforms w/o access to internal data! dl.acm.org/doi/10.1145/...
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Reposted by Stephanie Wang
Zakir Durumeric @zakird.com · 23/11/2024
Last week at CSCW, Catherine Han presented our work on journalists' unmet needs for protecting against harassment online. While the work targeted Twitter/X, it surfaces several nuances in users' needs that span future platforms as well (e.g., not wanting to filter out threats or visibly block users)
zakird.com
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Stephanie Wang @stephanietwang.bsky.social · 16/11/2024
spent a day in San José trying many delicious Costa Rican fruits at Mercado Borbón 😋
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Stephanie Wang @stephanietwang.bsky.social · 14/11/2024
stopping by every coffee farm on the road is not helping my bean addiction ☕️
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Reposted by Stephanie Wang
Ethan Zuckerman @ethanz.bsky.social · 13/11/2024
Pretty blown away by this paper from Piotr Sapiezynski and team at Northeastern and Princeton, presented at #CSCW2024: dl.acm.org/doi/10.1145/... For lots of good legal and moral reasons, Facebook doesn't allow advertisers to explicitly target ads to "White Republicans" or "Black Democrats"..
dl.acm.org
On the Use of Proxies in Political Ad Targeting | Proceedings of the ACM on Human-Computer Interaction
Detailed targeting of advertisements has long been one of the core offerings of online platforms. Unfortunately, malicious advertisers have frequently abused such targeting features, with results that...
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Stephanie Wang @stephanietwang.bsky.social · 14/11/2024
hello world; participating in cscw 2024 + elections aftermath has finally convinced me to make a jump
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