Article

Overview of eRisk 2021: Early Risk Prediction on the Internet

Authors:

Javier Parapar,

Patricia Martín-Rodilla,

David E. Losada,

Fabio CrestaniAuthors Info & Claims

Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21–24, 2021, Proceedings

Pages 324 - 344

https://doi.org/10.1007/978-3-030-85251-1_22

Published: 21 September 2021 Publication History

Abstract

This paper gives an outline of eRisk 2021, the CLEF conference’s fifth edition of this lab. The main goal of eRisk 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 self-harm. The third required participants to fill out a depression questionnaire (automatically, based on user writings on social media).

References

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Losada DE, Crestani F, et al. Fuhr N et al. A test collection for research on depression and language use Experimental IR Meets Multilinguality, Multimodality, and Interaction 2016 Cham Springer 28-39

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Losada DE, Crestani F, Parapar J, et al. Jones GJF et al. eRISK 2017: CLEF lab on early risk prediction on the internet: experimental foundations Experimental IR Meets Multilinguality, Multimodality, and Interaction 2017 Cham Springer 346-360

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Losada, D.E., Crestani, F., Parapar, J.: eRisk 2017: CLEF lab on early risk prediction on the internet: experimental foundations. In: CEUR Proceedings of the Conference and Labs of the Evaluation Forum, CLEF 2017, Dublin, Ireland (2017)

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Losada, D.E., Crestani, F., Parapar, J.: Overview of eRisk 2018: early risk prediction on the internet (extended lab overview). In: CEUR Proceedings of the Conference and Labs of the Evaluation Forum, CLEF 2018, Avignon, France (2018)

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Losada DE, Crestani F, Parapar J, et al. Bellot P et al. Overview of eRisk: early risk prediction on the internet Experimental IR Meets Multilinguality, Multimodality, and Interaction 2018 Cham Springer 343-361

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Losada DE, Crestani F, and Parapar J Azzopardi L, Stein B, Fuhr N, Mayr P, Hauff C, and Hiemstra D Early detection of risks on the internet: an exploratory campaign Advances in Information Retrieval 2019 Cham Springer 259-266

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Losada DE, Crestani F, Parapar J, et al. Crestani F et al. Overview of eRisk 2019 early risk prediction on the internet Experimental IR Meets Multilinguality, Multimodality, and Interaction 2019 Cham Springer 340-357

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Losada, D.E., Crestani, F., Parapar, J.: Overview of eRisk at CLEF 2019: early risk prediction on the internet (extended overview). In: CEUR Proceedings of the Conference and Labs of the Evaluation Forum, CLEF 2019, Lugano, Switzerland (2019)

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Losada, D.E., Crestani, F., Parapar, J.: erisk 2020: self-harm and depression challenges. In: Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, 14–17 April 2020, Proceedings, Part II, pp. 557–563 (2020)

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Losada DE, Crestani F, Parapar J, et al. Arampatzis A et al. Overview of eRisk 2020: early risk prediction on the internet Experimental IR Meets Multilinguality, Multimodality, and Interaction 2020 Cham Springer 272-287

[13]

Losada, D.E., Crestani, F., Parapar, J.: Overview of erisk at CLEF 2020: early risk prediction on the internet (extended overview). In: Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, 22–25 September 2020 (2020)

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Otero, D., Parapar, J., Barreiro, Á.: Beaver: efficiently building test collections for novel tasks. In: Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Samatan, Gers, France, 6–9 July 2020 (2020)

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Otero, D., Parapar, J., Barreiro, Á.: The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems. In: SAC ’21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, 22–26 March 2021, pp. 672–680 (2021)

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Parapar, J., Martín-Rodilla, P., Losada, D.E., Crestani, F.: erisk 2021: pathological gambling, self-harm and depression challenges. In: Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, 28 March–1 April 2021, Proceedings, Part II, pp. 650–656 (2021)

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Cited By

Parapar JMartín-Rodilla PLosada DCrestani F(2024)eRisk 2024: Depression, Anorexia, and Eating Disorder ChallengesAdvances in Information Retrieval10.1007/978-3-031-56069-9_65(474-481)Online publication date: 24-Mar-2024
https://dl.acm.org/doi/10.1007/978-3-031-56069-9_65
Milton APera M(2023)Into the Unknown: Exploration of Search Engines’ Responses to Users with Depression and AnxietyACM Transactions on the Web10.1145/358028317:4(1-29)Online publication date: 11-Jul-2023
https://dl.acm.org/doi/10.1145/3580283
Pérez AParapar JBarreiro ÁLopez-Larrosa SChen HDuh WHuang HKato MMothe JPoblete B(2023)BDI-Sen: A Sentence Dataset for Clinical Symptoms of DepressionProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591905(2996-3006)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591905
Show More Cited By

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Overview of eRisk 2021: Early Risk Prediction on the Internet

Index terms have been assigned to the content through auto-classification.

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cover image Guide Proceedings

Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21–24, 2021, Proceedings

Sep 2021

486 pages

ISBN:978-3-030-85250-4

DOI:10.1007/978-3-030-85251-1

Editors:
K. Selçuk Candan
Arizona State University, Tempe, AZ, USA
,
Bogdan Ionescu
Politehnica University of Bucharest, Bucharest, Romania
,
Lorraine Goeuriot
Université Grenoble Alpes, Saint-Martin-d’Hères, France
,
Birger Larsen
Aalborg University Copenhagen, Copenhagen, Denmark
,
Henning Müller
HES-SO Valais-Wallis, Sierre, Switzerland
,
Alexis Joly
University of Montpellier, Montpellier, France
,
Maria Maistro
University of Copenhagen, Copenhagen, Denmark
,
Florina Piroi
TU Wien, Vienna, Austria
,
Guglielmo Faggioli
University of Padua, Padova, Italy
,
Nicola Ferro
University of Padua, Padova, Italy

© Springer Nature Switzerland AG 2021.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 21 September 2021

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Cited By

Parapar JMartín-Rodilla PLosada DCrestani F(2024)eRisk 2024: Depression, Anorexia, and Eating Disorder ChallengesAdvances in Information Retrieval10.1007/978-3-031-56069-9_65(474-481)Online publication date: 24-Mar-2024
https://dl.acm.org/doi/10.1007/978-3-031-56069-9_65
Milton APera M(2023)Into the Unknown: Exploration of Search Engines’ Responses to Users with Depression and AnxietyACM Transactions on the Web10.1145/358028317:4(1-29)Online publication date: 11-Jul-2023
https://dl.acm.org/doi/10.1145/3580283
Pérez AParapar JBarreiro ÁLopez-Larrosa SChen HDuh WHuang HKato MMothe JPoblete B(2023)BDI-Sen: A Sentence Dataset for Clinical Symptoms of DepressionProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591905(2996-3006)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3539618.3591905
Parapar JMartín-Rodilla PLosada DCrestani F(2023)eRisk 2023: Depression, Pathological Gambling, and Eating Disorder ChallengesAdvances in Information Retrieval10.1007/978-3-031-28241-6_67(585-592)Online publication date: 2-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-28241-6_67
Pérez APiot-Pérez-Abadín PParapar JBarreiro Á(2023)PsyProf: A Platform for Assisted Screening of Depression in Social MediaAdvances in Information Retrieval10.1007/978-3-031-28241-6_30(300-306)Online publication date: 2-Apr-2023
https://dl.acm.org/doi/10.1007/978-3-031-28241-6_30
Parapar JMartín-Rodilla PLosada DCrestani F(2022)Overview of eRisk 2022: Early Risk Prediction on the InternetExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-031-13643-6_18(233-256)Online publication date: 5-Sep-2022
https://dl.acm.org/doi/10.1007/978-3-031-13643-6_18
Parapar JMartín-Rodilla PLosada DCrestani F(2022)eRisk 2022: Pathological Gambling, Depression, and Eating Disorder ChallengesAdvances in Information Retrieval10.1007/978-3-030-99739-7_54(436-442)Online publication date: 10-Apr-2022
https://dl.acm.org/doi/10.1007/978-3-030-99739-7_54

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