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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
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)
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)
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)
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)
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)
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)
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)
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)
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
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)
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 2011
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)
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)
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)
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)
Scanlon, J.R., Gerber, M.S.: Automatic detection of cyber-recruitment by violent extremists. Secur. Inform. 3(1), 5 (2014)
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
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)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Losada, D.E., Crestani, F., Parapar, J. (2017). eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations. In: Jones, G., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2017. Lecture Notes in Computer Science(), vol 10456. Springer, Cham. https://doi.org/10.1007/978-3-319-65813-1_30
Download citation
DOI: https://doi.org/10.1007/978-3-319-65813-1_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65812-4
Online ISBN: 978-3-319-65813-1
eBook Packages: Computer ScienceComputer Science (R0)