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DoRES - A Three-tier Ontology for Modelling Crises in the Digital Age.

, , , and . ISCRAM, ISCRAM Association, (2017)

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On the Readability of Misinformation in Comparison to the Truth., , and . Text2Story@ECIR, volume 3370 of CEUR Workshop Proceedings, page 63-72. CEUR-WS.org, (2023)Analysing engagement towards the 2014 Earth Hour Campaign in Twitter., , , , , and . EnviroInfo/ICT4S (2), page 114-121. University of Copenhagen, (2015)Knowledge Sharing in E-Collaboration., and . EGOV, volume 6228 of Lecture Notes in Computer Science, page 351-362. Springer, (2010)Tracking Machine Learning Bias Creep in Traditional and Online Lending Systems with Covariance Analysis., , , , and . WebSci, page 184-195. ACM, (2023)Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter., , and . Inf. Process. Manag., 58 (6): 102732 (2021)Understanding Misogynoir: A Study of Annotators' Perspectives., , , , and . WebSci, page 271-282. ACM, (2023)Crisis Event Extraction Service (CREES) - Automatic Detection and Classification of Crisis-related Content on Social Media., and . ISCRAM, ISCRAM Association, (2018)Co-spread of Misinformation and Fact-Checking Content During the Covid-19 Pandemic., , , , and . SocInfo, volume 12467 of Lecture Notes in Computer Science, page 28-42. Springer, (2020)MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts' Sharing of Misinformation., , , and . UMAP (Adjunct Publication), page 72-75. ACM, (2023)Monitoring, Discussing and Publishing Energy Consumption Data using EnergyUse., , and . ISWC (Posters & Demos), volume 1690 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)