Advertisement

eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations

  • David E. LosadaEmail author
  • Fabio Crestani
  • Javier Parapar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10456)

Abstract

This paper provides an overview of eRisk 2017. This was the first year that this lab was organized at CLEF. The main purpose of eRisk was to explore issues of evaluation methodology, effectiveness metrics and other processes related to early risk detection. Early detection technologies can be employed in different areas, particularly those related to health and safety. The first edition of eRisk included a pilot task on early risk detection of depression.

Notes

Acknowledgements

We thank the support obtained from the Swiss National Science Foundation (SNSF) under the project “Early risk prediction on the Internet: an evaluation corpus”, 2015.

We also thank the financial support obtained from the (i) “Ministerio de Economía y Competitividad” of the Government of Spain and FEDER Funds under the research project TIN2015-64282-R, (ii) Xunta de Galicia (project GPC 2016/035), and (iii) Xunta de Galicia – “Consellería de Cultura, Educación e Ordenación Universitaria” and the European Regional Development Fund (ERDF) through the following 2016-2019 accreditations: ED431G/01 (“Centro singular de investigacion de Galicia”) and ED431G/08.

References

  1. 1.
    Alvarez-Conrad, J., Zoellner, L.A., Foa, E.B.: Linguistic predictors of trauma pathology and physical health. Appl. Cogn. Psychol. 15(7), S159–S170 (2001)CrossRefGoogle Scholar
  2. 2.
    De Choudhury, M., Counts, S., Horvitz, E.: Social media as a measurement tool of depression in populations. In: Davis, H.C., Halpin, H., Pentland, A., Bernstein, M., Adamic, L.A. (eds.) WebSci, pp. 47–56. ACM (2013)Google Scholar
  3. 3.
    De Choudhury, M., Gamon, M., Counts, S., Horvitz, E.: Predicting depression via social media. In: Kiciman, E., Ellison, N.B., Hogan, B., Resnick, P., Soboroff, I. (eds.) ICWSM. The AAAI Press (2013)Google Scholar
  4. 4.
    Coppersmith, G., Harman, C., Dredze, M.: Measuring post traumatic stress disorder in Twitter. In: Proceedings of the Eighth International Conference on Weblogs and Social Media, ICWSM 2014, Ann Arbor, Michigan, USA, 1–4 June 2014 (2014)Google Scholar
  5. 5.
    Dinakar, K., Weinstein, E., Lieberman, H., Selman, R.L.: Stacked generalization learning to analyze teenage distress. In: Adar, E., Resnick, P., De Choudhury, M., Hogan, B., Oh, A. (eds.) ICWSM. The AAAI Press (2014)Google Scholar
  6. 6.
    Inches, G., Crestani, F.: Overview of the international sexual predator identification competition at PAN-2012. In: Proceedings of the PAN 2012 Lab Uncovering Plagiarism, Authorship, and Social Software Misuse (within CLEF 2012) (2012)Google Scholar
  7. 7.
    Kramer, A.D.I., Fussell, S.R., Setlock, L.D.: Text analysis as a tool for analyzing conversation in online support groups. In: Dykstra-Erickson, E., Tscheligi, M. (eds.) CHI Extended Abstracts, pp. 1485–1488. ACM (2004)Google Scholar
  8. 8.
    Lankford, A.: Précis of the myth of martyrdom: what really drives suicide bombers, rampage shooters, and other self-destructive killers. Behav. Brain Sci. 37, 351–362 (2014)CrossRefGoogle Scholar
  9. 9.
    Leonard, C.H., Annas, G.D., Knoll, J.L., Tørrissen, T.: The case of Anders Behring Breivik - language of a lone terrorist. Behav. Sci. Law 32, 408–422 (2014)CrossRefGoogle Scholar
  10. 10.
    Losada, D.E., Crestani, F.: A test collection for research on depression and language use. In: Fuhr, N., Quaresma, P., Gonçalves, T., Larsen, B., Balog, K., Macdonald, C., Cappellato, L., Ferro, N. (eds.) CLEF 2016. LNCS, vol. 9822, pp. 28–39. Springer, Cham (2016). doi: 10.1007/978-3-319-44564-9_3 CrossRefGoogle Scholar
  11. 11.
    Mcghee, I., Bayzick, J., Kontostathis, A., Edwards, L., Mcbride, A., Jakubowski, E.: Learning to identify internet sexual predation. Int. J. Electron. Commerce 15(3), 103–122 (2011)CrossRefGoogle Scholar
  12. 12.
    Moreno, M.A., Jelenchick, L.A., Egan, K.G., Cox, E., Young, H., Gannon, K.E., Becker, T.: Feeling bad on facebook: depression disclosures by college students on a social networking site, June 2011Google Scholar
  13. 13.
    Parapar, J., Losada, D.E., Barreiro, Á.: Combining psycho-linguistic, content-based and chat-based features to detect predation in chatrooms. J. Univ. Comput. Sci. 20(2), 213–239 (2014)Google Scholar
  14. 14.
    Parapar, J., Losada, D.E., Barreiro, A.: Approach, learning-based, for the identification of sexual predators in chat logs. In PAN 2012: Lab Uncovering Plagiarism, Authorship, and Social Software Misuse, at Conference and Labs of the Evaluation Forum CLEF. Italy, Rome (2012)Google Scholar
  15. 15.
    Park, M., McDonald, D.W., Cha, M.: Perception differences between the depressed and non-depressed users in Twitter. In: Kiciman, E., Ellison, N.B., Hogan, B., Resnick, P., Soboroff, I. (eds.) ICWSM. The AAAI Press (2013)Google Scholar
  16. 16.
    Pennebaker, J.W., Mehl, M.R., Niederhoffer, K.G.: Psychological aspects of natural language use: our words, our selves. Annu. Rev. Psychol. 54(1), 547–577 (2003)CrossRefGoogle Scholar
  17. 17.
    Scanlon, J.R., Gerber, M.S.: Automatic detection of cyber-recruitment by violent extremists. Secur. Inform. 3(1), 5 (2014)CrossRefGoogle Scholar
  18. 18.
    Veijalainen, J., Semenov, A., Kyppö, J.: Tracing potential school shooters in the digital sphere. In: Bandyopadhyay, S.K., Adi, W., Kim, T., Xiao, Y. (eds.) ISA 2010. CCIS, vol. 76, pp. 163–178. Springer, Heidelberg (2010). doi: 10.1007/978-3-642-13365-7_16 CrossRefGoogle Scholar
  19. 19.
    Zhang, Y., Zeng, S., Huang, C.N., Fan, L., Yu, X., Dang, Y., Larson, C.A., Denning, D., Roberts, N., Chen, H.: Developing a dark web collection and infrastructure for computational and social sciences. In: Yang, C.C., Zeng, D., Wang, K., Sanfilippo, A., Tsang, H.H., Day, M.-Y., Glässer, U., Brantingham, P.L., Chen, H. (eds.) ISI, pp. 59–64. IEEE (2010)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • David E. Losada
    • 1
    Email author
  • Fabio Crestani
    • 2
  • Javier Parapar
    • 3
  1. 1.Centro Singular de Investigación en Tecnoloxías da Información (CiTIUS)Universidade de Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.Faculty of InformaticsUniversitá della Svizzera italiana (USI)LuganoSwitzerland
  3. 3.Information Retrieval LabUniversity of A CoruñaA CoruñaSpain

Personalised recommendations