Top Tweets for #UQIR
The Australian federal election campaign is about to start, and we have A LOT of data about it! Stay tuned! @CIRES_AU @UQSchoolITEE @UQ_EAIT #UQIR
"Socio-Economic Diversity in Human Annotations" by Shaoyang Fan, Pınar Barlas, Evgenia Christoforou, @JahnaO @sadiqshazia and @eglu81 accepted at #websci22 We look at how human annotators provide different types of annotations for content from various socio-economic levels #UQIR
Full paper "Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments" by @KevinRoitero, @alex_checco, @mizzaro and @eglu81 accepted at #www2022 (17.7% acceptance rate) #UQIR
Honorable mention award for CrowdCO-OP at #CSCW2020! We (Sean, @UjLaw, @alex_checco and @eglu81) look at how crowd workers can share their rewards within groups to all get an hourly wage rather than piecework payments. #UQIR Pre-print: https://t.co/60lJ1kgEBa
"CrowdCO-OP: Sharing Risks and Rewards in Crowdsourcing" by #UQIR Shaoyang Fan, @UjLaw, @alex_checco, and @eglu81 accepted at #CSCW2020. We look at how a group of crowd workers can get paid a common hourly wage by sharing individual task rewards within the group.
"The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?" by @KevinRoitero @Miccighel_ Beatrice Portelli @damiano10 @vidiemme @giuseppeserra @mizzaro and #UQIR @eglu81 accepted as full paper at #cikm2020. #crowdsourcingtruthfulness for recent news
"Modelling User Behavior Dynamics with Embeddings" by #UQIR Lei Han, @alex_checco, @dedwit, @eglu81, and @sadiqshazia accepted as full paper at #cikm2020. We build embedding vectors for user activities and model them over time for different tasks.
We asked #crowdsourcing workers to label #FakeNews. Our #crowdsourcingtruthfulness #sigir2020 paper is now online: https://t.co/iA7Xv0VEkX Data here: https://t.co/6be2VzLh6I Key findings: (a thread) #UQIR
End of the year paper acceptance in the Journal of Artificial Intelligence Research (JAIR): Adversarial Attacks on Crowdsourcing Quality Control by @alex_checco @j0bates @eglu81 #UQIR
"The Impact of Task Abandonment in Crowdsourcing" by #UQIR Lei Han @KevinRoitero @UjLaw @csarasuagar @alex_checco @EddyMaddalena and @eglu81 published in IEEE Transactions on Knowledge and Data Engineering (TKDE) https://t.co/4AN2XlXPhB
”Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods" short paper by @Jimmyoentung @guidozuc @bevan_koopman and @eglu81 accepted at #CIKM2019 @ielabgroup #UQIR
"Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods" by #UQIR @Jimmyoentung @guidozuc @bevan_koopman and @eglu81 short paper accepted at #cikm2019 with 21.3% acceptance rate.
"On Transforming Relevance Scales" by #UQIR Lei Han, @KevinRoitero, @EddyMaddalena, @mizzaro, and @eglu81 accepted as full paper at #cikm2019 with 19.4% acceptance rate
Today @elad1 from Microsoft Research is talking about Screening for cancer using a learning internet advertising system at #UQIR @IELabGroup - here is a list of conditions you can reliably use search queries to screen for
"Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs" by Michael Luggen @dedwit @csarasuagar @eglu81 #UQIR Phil @eXascaleInfolab accepted full paper at the research track of #iswc2019 (the semantic #iswc2019, not the wearable, not the waterproofing 😅)
Today @sculpepper is at UQ talking about Scalable Machine Learning Models for Web-Scale Search #UQIR
"Impact of a Search Engine on Clinical Decisions Under Time and System Effectiveness Constraints: Research Protocol" by Anton van der Vegt, @guidozuc, @bevan_koopman, Anthony Deacon now published in JMIR Res. Prot. https://t.co/FHIaAAtN9j results coming soon #UQIR @jmirpub
Today at UQ @sculpepper is presenting a tutorial on Fusion in IR - great insights into systems fusion and query variations fusion #UQIR
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