Excited to present our work "The Diffusion of Causal Language in Social Networks" as a plenary talk @IC2S2 this morning! In short, we found that causal language spreads more than non-causal language.
Here is the link to our paper: https://t.co/Ip0pd1FwGL
Exciting news! Our new paper, Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits, is now available on Arxiv! Check it out!
https://t.co/jGNhzsYVlj
#NLProc#evaluation#LLM#psychology
😍So excited for my 1st PNAS!!! 😍
We show that citation networks of men and women members of the National Academy of Sciences look so different that a machine learning algorithm can tell them apart!
https://t.co/qXBRQSatd1 with @YulinYuResearch@fredmorstatter & Jay Pujara
New paper on Models, Markets, and the Forecasting of Elections https://t.co/wX2bq3uBfF (with Julie Seager, Emily Cai, Daniel Benjamin, and Fred Morstatter)
How has polarization, including anti-science attitudes, evolved since COVID-19 started?
We explore this question with a new pre-print: https://t.co/mc0xZqy7Zm
co-authors Ashwin Rao, @fredmorstatter, Minda Hu, @thatmchen, @emilio__ferrara and @KristinaLerman
My first paper, "Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification" (with @fredmorstatter and @YVigfusson), was accepted at #ICWSM 2020!
Here is a link to the preprint: https://t.co/i2C31X6s07
Twitter changed 1% Sample data! 1st info: Dramatically less meta-data (NO sender info, just id). Sampling now w/ 1ms window (old: 10ms). Not good for Science! #CSS#Twitter
Thanks: @fredmorstatter@mehrnoom
Background: Our 2018 paper on Twitter sampling: https://t.co/ryEIa9pkVG
I am teaching a new course on Fairness in AI with @fredmorstatter - so new in fact, the syllabus is still evolving. If you have suggestions for papers we should include (especially for bias/fairness in networks) please send them to me. https://t.co/TmYYbFGfXD
Up next at the ISI Graduate Student Symposium! Social #bot behavior, repeatable testbed experiments and fraudulent #cryptocurrency manipulations on social media. #USC
New in @epj_ds
Tampering with Twitter’s Sample API
“due to the nature of Twitter’s sampling mechanism, it is possible to deliberately influence these samples, the extent and content of any topic”
https://t.co/8skdLNkVO8