Maria Antoniak

Assistant professor of CS, NLP and cultural analytics

Why they matter

Assistant professor of CS, NLP and cultural analytics with public evidence across AI research, Culture, work & education, NLP & language.

AI signals
27
past 30d
Sources
24
distinct domains
Discusiones
42
past 30d
Latest signal
16h ago
View every signal from Maria Antoniak →
NLP, cultural analytics. Assistant Professor of CS at University of Colorado Boulder. Books, bikes, games, art. https://maria-antoniak.github.io

Articles & links

↻ Maria Antoniak reposted
@davidjbianco.bsky.social

HuggingFace got hacked by an AI. What stuck out to me was the guardrail asymmetry. The attacker had no constraints, but HF's response ran afoul of the abuse guardrails, forcing them into an unplanned switch to local models. Another aspect for your IR plans. huggingface.co/blog…

Security incident disclosure — July 2026 huggingface.co
AI Weekly's analysis →
  • The attacker's agent ran 17,000+ actions across short-lived sandboxes, compressing multi-stage lateral movement into a single weekend.
  • Commercial model APIs blocked forensic requests containing real exploit artifacts, forcing Hugging Face to pivot to open-weight GLM 5.2 on private infrastructure.
  • The intrusion entered via a remote dataset RCE loader and configuration template injection, not through the model-serving layer.
Read full analysis →
View on Bluesky →

I wrote some of these thoughts out (briefly) in this piece, describing how philosophy has been centered as pretty much the *only* humanities discipline at FAccT, our main conference on computing ethics. arxiv.org/abs/2502.19190

Provocations from the Humanities for Generative AI Research arxiv.org
AI Weekly's analysis →
  • Eight humanities researchers argue their disciplines are underrepresented in AI development and offer eight numbered provocations for the field.
  • The claims include "Bigger models are not always better models," "Openness is not an easy fix," and "Generative AI can never be representative."
  • The paper closes by urging resistance to "the extraction of humanities research by computer science and related fields."
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View on Bluesky · ♥ 49 ↻ 8 ↩ 4 · 3 from the directory shared this · 21d ago
↻ Maria Antoniak reposted
Juan Diego Rodriguez @juand-r.bsky.social

2) Characterizing Narrative Content in Web-scale LLM Pretraining Data, by @teagrjohnson.bsky.social, @elliottash.bsky.social, @andrewpiper.bsky.social, @mariaa.bsky.social arxiv.org/abs/2606.19468 Why: annotation and analysis of narrative features across the pretraining data (…

Characterizing Narrative Content in Web-scale LLM Pretraining Data arxiv.org
AI Weekly's analysis →
  • A new arXiv preprint introduces NarraBERT, a RoBERTa-based classifier, and applies it to 3 million passages from the 3-trillion-token Dolma corpus.
  • The framework operationalizes three narrative elements, agency, setting, and events, across 11 interpretable dimensions, trained on 400 annotated passages.
  • The authors report narrative qualities are unequally distributed across pretraining sources and topics in ways current curation practices do not measure.
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↻ Maria Antoniak reposted
Anjalie Field @anjalief.bsky.social

New press release about our recently released COLM paper, work by Katherine Van Koevering! hub.jhu.edu/2026/09/21/a... Check out the full paper here: arxiv.org/abs/2608.13328

It's How You Ask: Gender-Associated Linguistic Bias in LLMs arxiv.org
AI Weekly's analysis →
  • Prompts using hedges, tag questions, and collective reference drew shorter, less sophisticated, less formal LLM replies across three document types and four models.
  • Linguistic register outweighed explicit cues like sign-off names in shaping response quality, according to the paper's representational analysis.
  • The authors report the effect is encoded in early transformer layers and entangled with other features, making post-hoc mitigation difficult.
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Recent commentary

Is AI useful... Well I've avoided Figma for years because every time I opened it, it looked too annoying to learn. But now they have a chatbot, and I made three websites yesterday.

View on Bluesky · ♥ 80 ↻ 1 ↩ 1 · 73d ago

People working in AI industry posting nonsense on X are not “putting their careers on the line.” They’ve got a ton of $$ and will be fine. A lot of this discourse is just weird in-group social signaling explicitly *for* career advancement. Genuine concerns exist but good luck disentangling all that.

View on Bluesky · ♥ 63 ↻ 9 ↩ 0 · 37d ago

I feel like there is a pattern in #CHR2027 papers of "we engineered this LLM-based pipeline and evaluated it in service of a humanities research question, but for CHR we will only report about the pipeline." I want to hear about the humanities research question and what you learned via the pipeline!

View on Bluesky · ♥ 34 ↻ 1 ↩ 3 · 6d ago

I’m on my way to my first #IC2S2! 🌧️ I’ll be supporting presentations about computational narrative analysis by my students and mentees @teagrjohnson.bsky.social and @umagunturi1.bsky.social. If you’re interested in storytelling, pretraining data, social media, or language models, come talk to us!

View on Bluesky · ♥ 32 ↻ 3 ↩ 1 · 81d ago

I'm looking for examples of successful NSF CAREER proposals and budgets, especially those written by NLP researchers. If you would be willing to share your successful proposal, or if you know of successful proposals that others have shared publicly, please let me know!

View on Bluesky · ♥ 12 ↻ 2 ↩ 1 · 95d ago

I'm looking for 1-2 emergency reviewers for a #COLM2026 paper on LLMs and science. Paper looks like a nice read to me! Reply or message me if you might be able to write a review by end of week.

View on Bluesky · ♥ 6 ↻ 2 ↩ 1 · 156d ago

Henry Farrell is giving a talk on culture and AI now at #COLM2026 and it's off to a blazing start. Join in the ballroom!

View on Bluesky · ♥ 8 ↻ 1 ↩ 0 · 9d ago

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