Shaina
@shaina_ashraf
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Researcher: Natural Language Processing, Computational Linguistics, Machine Learning
Bonn, Germany
Joined September 2014
InDor focuses on mis-, dis- & mal-information, with an emphasis on theory, datasets, evaluation, cultural context and real-world impact. We welcome archival & non-archival papers, research communications, and suitable ACL ARR–rejected papers (with reviews).
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I’m happy to co-organise the Information Disorder Workshop (InDor), held on 12 May 2026 at #LREC2026 in Palma de Mallorca 🇪🇸 17 Feb: submission 17 Mar: notification 30 Mar: camera-ready More info & submission: https://t.co/GPl8Lezkzg
#InDor #NLP #Misinformation #Disinformation
information-disorder-workshop.github.io
Workshop on Information Disorder co-located with LREC 2026 in Palma de Mallorca, Spain
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Check out 3 @CaisaLab papers @ #NAACL : (1) Scaling annotator modeling, (2) modeling information spreader behavior, (3) group fairness preservation under differential privacy. Underline links: 1) https://t.co/myhBDLlEZY 2) https://t.co/Mcpcd1m5Mu 3)
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In (2), @shaina_ashraf together with Fabio Gruschka and @ytaipsw show that detecting unreliable news spreading in Reddit and Twitter is more accurate when including behavioral patterns of the users
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😇presenting my work @LrecColing #NLProc Full paper : https://t.co/JFfBI7HtTm. Full paper: https://t.co/JFfBI7HtTm
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4 Caisarians presenting 5 papers (eg. on misinformation, framing, empathy) at #LREC2024! Talk to us if you’re interested in working with @caisalab and the @LamarrInstitute! (Or just samy hi anyway ;) )
We're proud to have our #CAISA team presenting their work at #LREC2024 🌐✨ Join them in discovering their innovative contributions to #NLP and #AI.
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🎉Thrilled to share my publication on #DisinformationDetection @LrecColing
#DisinformationDetection 🚨 Groundbreaking annotation approach “#DeFaktS, a German dataset uniquely designed for fine-grained disinformation detection through Social Media Framing” featured at @LrecColing Link: https://t.co/7bct1oAuIX #NLP @lucie_nlp @UniBonn @LamarrInstitute
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Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs
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