Skip to main content

eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges

  • Conference paper
  • First Online:
Advances in Information Retrieval (ECIR 2024)

Abstract

In 2017, we launched eRisk as a CLEF Lab to encourage research on early risk detection on the Internet. Since then, thanks to the participants’ work, we have developed detection models and datasets for depression, anorexia, pathological gambling and self-harm. In 2024, it will be the eighth edition of the lab, where we will present a revision of the sentence ranking for depression symptoms, the third edition of tasks on early alert of anorexia and eating disorder severity estimation. This paper outlines the work that we have done to date, discusses key lessons learned in previous editions, and presents our plans for eRisk 2024.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://erisk.irlab.org.

  2. 2.

    https://erisk.irlab.org/server.html.

References

  1. Beck, A.T., Ward, C.H., Mendelson, M., Mock, J., Erbaugh, J.: An inventory for measuring depression. JAMA Psychiatry 4(6), 561–571 (1961)

    Google Scholar 

  2. Carey, M., Kupeli, N., Knight, R., Troop, N.A., Jenkinson, P.M., Preston, C.: Eating disorder examination questionnaire (EDE-Q): norms and psychometric properties in UK females and males. Psychol. Assess. 31(7), 839 (2019)

    Article  Google Scholar 

  3. Coppersmith, G., Dredze, M., Harman, C.: Quantifying mental health signals in Twitter. In: ACL Workshop on Computational Linguistics and Clinical Psychology (2014)

    Google Scholar 

  4. Crestani, F., Losada, D.E., Parapar, J. (eds.): Early Detection of Mental Health Disorders by Social Media Monitoring. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-04431-1

  5. Losada, D.E., Crestani, F.: A test collection for research on depression and language use. In: Proceedings Conference and Labs of the Evaluation Forum CLEF 2016, Evora, Portugal (2016)

    Google Scholar 

  6. Losada, D.E., Crestani, F., Parapar, J.: eRisk 2017: clef lab on early risk prediction on the internet: experimental foundations. In: Jones, G.J., et al. (eds.) CLEF 2017. LNCS, vol. 10456, pp. 346–360. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65813-1_30

    Chapter  Google Scholar 

  7. Losada, D.E., Crestani, F., Parapar, J.: Overview of eRisk: early risk prediction on the internet. In: Bellot, P., et al. (eds.) CLEF 2018. LNCS, vol. 11018, pp. 343–361. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98932-7_30

    Chapter  Google Scholar 

  8. Losada, D.E., Crestani, F., Parapar, J.: Overview of eRisk 2019 early risk prediction on the internet. In: Crestani, F., et al. (eds.) CLEF 2019. LNCS, vol. 11696, pp. 340–357. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28577-7_27

    Chapter  Google Scholar 

  9. Losada, D.E., Crestani, F., Parapar, J.: Overview of of eRisk 2020: early risk prediction on the internet. In: Arampatzis, A., et al. (eds.) CLEF 2020. LNCS, vol. 12260, pp. 272–287. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58219-7_20

    Chapter  Google Scholar 

  10. Otero, D., Parapar, J., Barreiro, Á.: Beaver: efficiently building test collections for novel tasks. In: Proceedings of the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Samatan, Gers, France, 6–9 July 2020 (2020). https://ceur-ws.org/Vol-2621/CIRCLE20_23.pdf

  11. Parapar, J., Martín-Rodilla, P., Losada, D.E., Crestani, F.: Overview of eRisk 2021: early risk prediction on the internet. In: Candan, K.S., et al. (eds.) CLEF 2021. LNCS, vol. 12880, pp. 324–344. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-85251-1_22

    Chapter  Google Scholar 

  12. Parapar, J., Martín-Rodilla, P., Losada, D.E., Crestani, F.: Overview of eRisk 2022: early risk prediction on the internet. In: Barrón-Cedeño, A., et al. (eds.) CLEF 2022. LNCS, vol. 13390, pp. 233–256. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-13643-6_18

    Chapter  Google Scholar 

  13. Parapar, J., Martín-Rodilla, P., Losada, D.E., Crestani, F.: Overview of eRisk 2023: early risk prediction on the internet. In: Arampatzis, A., et al. (eds.) CLEF 2022. LNCS, vol. 14163, pp. 294–315. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-42448-9_22

    Chapter  Google Scholar 

  14. Sadeque, F., Xu, D., Bethard, S.: Measuring the latency of depression detection in social media. In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, pp. 495–503. ACM, New York (2018)

    Google Scholar 

Download references

Acknowledgements

The first and second authors thank the financial support supplied by the Consellería de Cultura, Educación, Formación Profesional e Universidades (accreditation 2019-2022 ED431G/01, ED431B 2022/33) and the European Regional Development Fund, which acknowledges the CITIC Research Center in ICT of the University of A Coruña as a Research Center of the Galician University System and the project PID2022-137061OB-C21 (Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación, Proyectos de Generación de Conocimiento; suppported by the European Regional Development Fund). The third author thanks the financial support supplied by the Consellería de Cultura, Educación, Formación Profesional e Universidades (accreditation 2019-2022 ED431G-2019/04, ED431C 2022/19) and the European Regional Development Fund, which acknowledges the CiTIUS-Research Center in Intelligent Technologies of the University of Santiago de Compostela as a Research Center of the Galician University System. The third author thanks the financial support obtained from: i) project PID2022-137061OB-C22 (Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación, Proyectos de Generación de Conocimiento; suppported by the European Regional Development Fund) and ii) project SUBV23/00002 (Ministerio de Consumo, Subdirección General de Regulación del Juego). The first, second, and third author also thank the funding of project PLEC2021-007662 (MCIN/AEI/10.13039/501100011033, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación, Plan de Recuperación, Transformación y Resiliencia, Unión Europea-Next Generation EU).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Javier Parapar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Parapar, J., Martín-Rodilla, P., Losada, D.E., Crestani, F. (2024). eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14612. Springer, Cham. https://doi.org/10.1007/978-3-031-56069-9_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-56069-9_65

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56068-2

  • Online ISBN: 978-3-031-56069-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics