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People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation.

, , , , , , , , , and . SocialSec, volume 14097 of Lecture Notes in Computer Science, page 3-22. Springer, (2023)

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AntiViruses under the microscope: A hands-on perspective., , , , , , and . Comput. Secur., (2022)Taking a Peek: An Evaluation of Anomaly Detection Using System calls for Containers., , , and . ISCC, page 1-6. IEEE, (2021)Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles., , , , , , , , , and 4 other author(s). CoRR, (2021)People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation., , , , , , , , , and . SocialSec, volume 14097 of Lecture Notes in Computer Science, page 3-22. Springer, (2023)Fast & Furious: Modelling Malware Detection as Evolving Data Streams., , , , , and . CoRR, (2022)Fast & Furious: On the modelling of malware detection as an evolving data stream., , , , , and . Expert Syst. Appl., (2023)Predicting Misinformation and Engagement in COVID-19 Twitter Discourse in the First Months of the Outbreak., , , , , , , , and . CoRR, (2020)Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles., , , , , , , , , and 4 other author(s). IEEE Trans. Biom. Behav. Identity Sci., 4 (3): 412-423 (2022)TeamUFPR at IDPT 2021: Equalizing a Strategy Using Machine Learning for Two Types of Data in Detecting Irony., , and . IberLEF@SEPLN, volume 2943 of CEUR Workshop Proceedings, page 925-932. CEUR-WS.org, (2021)L(a)ying in (Test)Bed - How Biased Datasets Produce Impractical Results for Actual Malware Families' Classification., , , , and . ISC, volume 11723 of Lecture Notes in Computer Science, page 381-401. Springer, (2019)