Joined June 2008
Fred Morstatter retweeted
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: ojs.aaai.org/index.php/ICWSM…
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Fred Morstatter retweeted
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! arxiv.org/abs/2404.00267 #NLProc #evaluation #LLM #psychology
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Fred Morstatter retweeted
Why LLMs are vulnerable to the 'butterfly effect' venturebeat.com/ai/why-llms-…
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😍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! pnas.org/doi/10.1073/pnas.22… with @YulinYuResearch @fredmorstatter & Jay Pujara
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Fred Morstatter retweeted
Fred (@fredmorstatter) & I are again running a Student Research Consortium at SBP-BRIMS. The event is hybrid, and you can apply to present or just to attend. All attendees will have registration covered, and where possible, travel. Apply below by 9/1! forms.gle/Tk58vF51TGpWhgWe6
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Fred Morstatter retweeted
New paper on Models, Markets, and the Forecasting of Elections papers.ssrn.com/sol3/papers.… (with Julie Seager, Emily Cai, Daniel Benjamin, and Fred Morstatter)
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How has polarization, including anti-science attitudes, evolved since COVID-19 started? We explore this question with a new pre-print: arxiv.org/pdf/2011.08498.pdf co-authors Ashwin Rao, @fredmorstatter, Minda Hu, @thatmchen, @emilio__ferrara and @KristinaLerman
Fred Morstatter retweeted
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: arxiv.org/pdf/2004.01820.pdf
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Fred Morstatter retweeted
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: bit.ly/2JLaa5q
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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. docs.google.com/document/d/1…
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Fred Morstatter retweeted
Check out the @ISI_AI’s booth if you're at #ijcai19 . We have a number of exciting openings in ML, NLP, computer vision, and knowledge graphs. @USC_ISI @USCViterbi @IJCAIconf
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Thank you ICWSM organizers for the wonderful company, interesting conference, and the abundance of delicious food! It’s been a 3-day long eating fest.
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Honored!
Debiasing Community Detection: The Importance of Lowly-Connected Nodes “approach that is more inclusive for lowly-connected users by incorporating them into larger groups” arxiv.org/abs/1903.08136
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Fred Morstatter retweeted
Up next at the ISI Graduate Student Symposium! Social #bot behavior, repeatable testbed experiments and fraudulent #cryptocurrency manipulations on social media. #USC
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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” epjdatascience.springeropen.…
#ICWSM 2019 website with paper submission information is online! Submission is open now! First deadline: September 15, 2018. @icwsm #CSS icwsm.org PS: You still see 2018? Please delete browser cache or click: icwsm.org/2019/