Associate Professor, School of Information, UC Berkeley. NLP, computational social science, digital humanities. Not active here; find me at @dbamman.bsky.social
Berkeley, CA
Joined October 2009
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David Bamman retweeted
From @dbamman (co-authored w/@rach_scholcomm) new paper today relying on #copyright exemption for decrypting DVDs to conduct #textdatamining. Using the exemption, authors built a collection of film to measure representation for gender and race/ethnicity pnas.org/doi/10.1073/pnas.24…
Lucy is a rock star and you should all hire her!
Hi friends, colleagues, followers.
I am on the faculty job market! I am a PhD student @BerkeleyISchool + @berkeley_ai. I work on NLP, and I believe all language, whether AI- or human-generated, is ✨social and cultural data✨. My work includes: 🧵
David Bamman retweeted
How might one do classification in the era of LLMs for humanities research? 🤔
@dbamman, @KentKChang, @NaitianZhou & I apply LLMs on ten tasks from prior cultural analytics lit. Larger LMs are competitive w/ older methods on established tasks, but perform less well on new ones.
My group just finished up a new paper that I'm excited to get out into the world: "On Classification with Large Language Models in Cultural Analytics" (to be published at CHR): github.com/bamman-group/ca-c…. More info here! bsky.app/profile/dbamman.bsk…
David Bamman retweeted
In cultural analytics, accuracy is often not the only (or even primary) objective.
Here, we explore the myriad ways CA uses classification, how LLMs compare to other commonly used methods, and how they might enable new approaches to sensemaking from text data.
My group just finished up a new paper that I'm excited to get out into the world: "On Classification with Large Language Models in Cultural Analytics" (to be published at CHR): github.com/bamman-group/ca-c…. More info here! bsky.app/profile/dbamman.bsk…
My group just finished up a new paper that I'm excited to get out into the world: "On Classification with Large Language Models in Cultural Analytics" (to be published at CHR): github.com/bamman-group/ca-c…. More info here! bsky.app/profile/dbamman.bsk…
Big congrats to @KentKChang for passing his qualifying exam today! Lots of super exciting work on measuring social interactions in culture in the pipeline --
Well deserved, congrats Kent!
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See Naitian at poster #5!
Hey NLPals, I'll be at #NAACL2024 this upcoming week! Let's chat about sociocultural NLP, what it means to study culture, and finding variation in unusual places (like memes!)
I'll be presenting this memes paper at the first poster session.
For anyone at #NAACL2024 considering lucha libre, I can attest it was spectacular (though that may be influenced by attending with my 9yo)
David Bamman retweeted
I’m headed to NAACL to present this paper!
I’m around mostly Sunday evening thru Tuesday. This fall I’ll be doing some thinking about what to do after my PhD; if you have advice/thoughts about this definitely chat with me!
New preprint! 🎉 We examine two contrasting yet common assumptions around what it means for an NLG model or system to be “fair” or “good”: 1⃣ treating all social groups the same, where “bias” = any diff in outputs (invariance), or 2⃣customizing outputs to them (adaptation).
ALT a screenshot of the upper part of the first page of the paper, including the title, author list, and abstract.
David Bamman retweeted
Hey NLPals, I'll be at #NAACL2024 this upcoming week! Let's chat about sociocultural NLP, what it means to study culture, and finding variation in unusual places (like memes!)
I'll be presenting this memes paper at the first poster session.
Memes are pervasive in online speech. Do they have the socially meaningful variation we see in other aspects of language? YES!
New preprint from me, @david__jurgens and @dbamman on the semantic structure and visual diversity of 3.8M Reddit memes.
🌐 naitian.org/social-memeing
Looking forward to seeing people at #NAACL2024 this week! Today, be sure to check out @NaitianZhou's poster on the sociolinguistics of memes (11am) and @lucy3_li's talk on concepts of fairness in NLG systems at 2:36pm (ethics/bias/fairness 1)
David Bamman retweeted
Join us on Monday, 2/26 at 4:30 pm for a lecture by @dbamman: The Promise and Peril of Large Language Models for Cultural Analytics.
RSVP: forms.gle/by1m6xHzTLhjJQbd8
More info: cdh.princeton.edu/events/202…
Co-sponsored by @PrincetonPLI.
David Bamman retweeted
Very excited to announce the launch of our citizen science initiative "The Lives of Literary Characters" hosted @the_zooniverse. This is the first ever literary citizen science project that aims to promote story understanding. A Thread 🧵 zooniverse.org/projects/citi…
David Bamman retweeted
New preprint! 📜 We investigate how ten “quality” and English langID filters, drawn from prior lit on LLM pretraining data curation pipelines, affect webpages linked to self-descriptions of their creators.
Paper: arxiv.org/abs/2401.06408
Data: huggingface.co/datasets/alle… 🧵(1/6)
ALT a screenshot of the first page of a research paper titled "AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters" with a diagram showing a paraphrased excerpt for a website's about page, with common stated social dimensions emphasized with highlighting. The dimensions are: individuals or organizations, social roles, geographic locations, and topical interests.
David Bamman retweeted
🚨NLP+CSS workshop is back and will be at NAACL 2024!
Paper submission deadline: March 24 sites.google.com/site/nlpand…
Organizing team: @anjalie_f @dallascard @dirk_hovy and myself
Congrats to Masha et al on this best industry paper award! (Masha’s a Berkeley School of Information MIMS alum!)
EMNLP 2023 Best Industry Paper
Personalized Dense Retrieval on Global Index for Voice-enabled Conversational Systems
(Masha Belyi, Charlotte Dzialo, Chaitanya Dwivedi, Prajit Muppidi, Kanna Shimizu)
aclanthology.org/2023.emnlp-…
#EMNLP2023 #NLProc
Awesome work! Congrats @nikita_mehandru @swetaagrawal20 et al!!!!
I’m thrilled that this Human-Centered MT paper was recognized with an outstanding paper award at #EMNLP2023. Congratulations to lead authors Nikita Mehandru (@ucberkeley iSchool) and @swetaagrawal20 (@umdclip @istecnico) for making this interdisciplinary collaboration a success!
David Bamman retweeted
I’m thrilled that this Human-Centered MT paper was recognized with an outstanding paper award at #EMNLP2023. Congratulations to lead authors Nikita Mehandru (@ucberkeley iSchool) and @swetaagrawal20 (@umdclip @istecnico) for making this interdisciplinary collaboration a success!
2/8 "Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors"
with @nikita_mehandru @swetaagrawal20 @elainekhoong Niloufar Salehi among others
arxiv.org/abs/2310.16924
virtual2023.emnlp.org/paper_…