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Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19., , , , , , , , and . Pers. Ubiquitous Comput., 27 (1): 59-89 (2023)How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments., , , , , and . ACM Trans. Inf. Syst., 42 (1): 21:1-21:26 (January 2024)Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf., , , and . WSDM, page 1605-1608. ACM, (2022)Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19., , , , , , , , and . CoRR, (2021)A Neural Model to Jointly Predict and Explain Truthfulness of Statements., , , , and . ACM J. Data Inf. Qual., 15 (1): 4:1-4:19 (March 2023)HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis., , and . BIRNDL@SIGIR, volume 2414 of CEUR Workshop Proceedings, page 70-82. CEUR-WS.org, (2019)Reproduce and Improve: An Evolutionary Approach to Select a Few Good Topics for Information Retrieval Evaluation., , , and . ACM J. Data Inf. Qual., 10 (3): 12:1-12:21 (2018)Transparent assessment of information quality of online reviews using formal argumentation theory., , , and . Inf. Syst., (2022)E-BART: Jointly Predicting and Explaining Truthfulness., , , and . TTO, page 18-27. Hacks Hackers, (2021)Crowdsourcing Peer Review: As We May Do., and . IRCDL, volume 988 of Communications in Computer and Information Science, page 259-273. Springer, (2019)