 
                        
                When Labels Lie: Making Machine Learning Smarter with Annotator Metadata
                Supervised machine learning is only as good as the data itβs trained on. But hereβs the catch: when we rely on crowdsourced annotators toβ¦
            
        
    
    
            Crowdsourced labels often hide bias, fatigue & noise. This #CSCW2025 paper by @quarbby.bsky.social, @feedkoko.bsky.social et. al shows how annotator metadata (speed, agreement, effort) can boost ML models of users' deception & disclosure. More:
               
            
            
                11.10.2025 13:01 β π 2    π 1    π¬ 0    π 0                      
            
         
            
        
            
            
            
            
            
    
    
    
    
            Yay I got added!
               
            
            
                15.11.2024 17:49 β π 2    π 0    π¬ 0    π 0                      
            
         
            
        
            
            
            
            
            
    
    
    
    
            Can I be added? π
               
            
            
                14.11.2024 19:59 β π 0    π 0    π¬ 1    π 0                      
            
         
            
        
            
            
            
            
            
    
    
    
    
            Please add me!
               
            
            
                14.11.2024 13:41 β π 0    π 0    π¬ 0    π 0                      
            
         
            
        
            
            
            
            
            
    
    
    
    
            Thank you for letting me in!!
               
            
            
                30.09.2023 03:05 β π 1    π 0    π¬ 0    π 0                      
            
         
            
        
            
            
            
            
            
    
    
            
                        
                Lynnette H. X. Ng
                
            
        
    
    
            Hello! I'm a PhD student at #carnegiemellonuniversity doing #societalcomputing! Specifically looking at the human communication and automation! My work can be found on my website at quarbby.github.io π
               
            
            
                29.09.2023 15:45 β π 0    π 0    π¬ 0    π 0                      
            
         
            
        
            
            
            
            
            
    
    
    
    
            Hello! I'm a PhD student at #carnegiemellonuniversity doing #societalcomputing! Specifically looking at the human communication and automated methods! Looking forward to interacting with #PhDSky and ##HiSciSky
               
            
            
                29.09.2023 14:37 β π 9    π 2    π¬ 1    π 0                      
            
         
    
         
        
            
        
                            
                    
                    
                                            Associate Professor @ UBC
computational sociology
machine learning is feminist
You only have to look at the Medusa straight on to see her. And sheβs not deadly. Sheβs beautiful and sheβs laughing.
www.lauraknelson.com
                                     
                            
                    
                    
                                            Dartmouth political scientist and Bright Line Watch co-director. Previously Upshot NYT / CJR contributor, Spinsanity co-founder, All the President's Spin co-author.
https://sites.dartmouth.edu/nyhan/
http://brightlinewatch.org
                                     
                            
                    
                    
                                            ACM Conference on Computer Supported Cooperative Work & Social Computing. CSCW 2026 will be in Salt Lake City, Utah from October 10β14, 2026: https://cscw.acm.org/2026/.
Follow our community using our Starter Pack: https://go.bsky.app/SPumuMT
                                     
                            
                    
                    
                                            Researcher at ICAR-CNR
I develop computational tools to identify threats to online users posed by malicious actors and algorithms that behave unpredictably.
Personal Website: https://mminici.github.io
                                     
                            
                    
                    
                                            Studying Cognitive Science and Biomathematics at Rutgers University, New Brunswick
                                     
                            
                    
                    
                                            Ph.D. in Media & Communication | '24-'25 Carr-Ryan Center Fellow at Harvard Kennedy School | Knight Visiting Nieman Fellow '19 | IVLP Alumnus | IBM Certified AI Developer https://www.linkedin.com/in/emre-kizilkaya #Media #Humanities #AI #Data #Ethics
                                     
                            
                    
                    
                                            Workshop on Online Abuse and Harms (WOAH) to be held at ACL 2025 in Vienna.
https://www.workshopononlineabuse.com/
                                     
                            
                    
                    
                                            PhD #NLProc from CLTL, Vrije Universiteit Amsterdam || Interests: Computational Argumentation, Responsible AI, interdisciplinarity, cats || I express my own views
                                     
                            
                    
                    
                                            Professor of Online Communication. Researching the transformation of communication and society. Critical optimist.
                                     
                            
                    
                    
                                            Assistant prof. of information science at Drexel CCI.
computational social science, NLP for social good, narratives, stigma, #NLProc #NLP #NLP4SG
Previously at UIUC, Spotify.
she/her. shadirezapour.com
                                     
                            
                    
                    
                                            Ipseologist, computational social scientist.  Academic doing things my own way.  https://jasonjones.ninja/
                                     
                            
                    
                    
                                            Assistant Professor @teacherscollege.bsky.social⬠@columbiauniversity.bsky.social | Responsible AI and educational equity | He/him
renzheyu.com
                                     
                            
                    
                    
                                            Postdoc at the Department of Communication, University of Copenhagen. Managing Editor @jceajournal.bsky.social, Editor of Asia Pacific Viewpoint, @gpccomm.bsky.social, Sage Open & Social Media Editor @jvpcjournal.bsky.social. Web: http://dechunzhang.com
                                     
                            
                    
                    
                                            Assistant Professor @ UW iSchool. Interested in computational social science, social networks & causal inference.
http://martinsaveski.com
                                     
                            
                            
                    
                    
                                            crazy broke asian & PhD student @ Northeastern CAMD
https://www.yukunyang.info
                                     
                            
                    
                    
                                            Assistant Professor of Data Science @UVA. Network Science, human behavior and the emergent constraints of the organizations and ecosystems we build.
                                     
                            
                    
                    
                                            Computational & Mathematical Sociologist
University of Arizona | School of Sociology | Affiliated with College of InfoSci and Applied Math GIDP  | Interested in Global Knowledge and Science, Complex Systems, CSS
TheGlobalLab.org
www.charlesgomez.com
                                     
                            
                    
                    
                                            Sociologist, criminologist, interested in org deviance & alt markets/platforms. I use comp & qual methods. Asst Prof @ UIUC β‘οΈ HKU. PGP: E1FC377D. Author of Open Secrecy (UCP 2025). https://isakladegaard.com/
                                     
                            
                    
                    
                                            Retired academic (http://mboudour.github.io/about/)