This paper gives an outline of eRisk 2022, the CLEF conference’s sixth edition of this lab. Since the first edition, the main goal of our lab is to explore issues of evaluation methodology, effectiveness metrics and other processes related to early risk detection. Early alerting models may be used in a variety of situations, including those involving health and safety. This edition of eRisk had three tasks. The first task focused on early detecting signs of pathological gambling. The second challenge was to spot early signs of depression The third required participants to fill out automatically an eating disorders questionnaire (based on user writings on social media).
CITATION STYLE
Parapar, J., Martín-Rodilla, P., Losada, D. E., & Crestani, F. (2022). Overview of eRisk 2022: Early Risk Prediction on the Internet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13390 LNCS, pp. 233–256). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-13643-6_18
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