Author profiling consists of predicting an author’s demographics (e.g. age, gender, personality) from her writing. In the PR-SOCO shared task we will address the problem of predicting an author’s personality from her source code. Personality traits influence most, if not all, of the human activities, such as the way people write (Celli et al., 2014), (Rangel et al., 2015), interact with others, and the way people make decisions, for instance in the case of developers the criteria they consider when selecting a software project they want to participate (Paruma-Parbón et al., 2016), or the way they write and structure their source code.

In PR-SOCO, given a source code collection of a programmer, the aim is to identify her personality trait. In the training phase participants will be provided with source codes of programmers together with their personality trait. Personality will be defined along five traits using the Big Five Theory (Costa et al., 2008), which is the most widely accepted in psychology. The five traits are: extroversion (E), emotional stability / neuroticism (S), agreeableness (A), conscientiousness (C), and openness to experience (O).

Celli F., Lepri B., Biel J.I., Gatica-Perez D., Riccardi G., Pianesi F. (2014). The workshop on computational personality recognition 2014. Proc. of the ACM Int. Conf. on Multimedia. pp. 1245–1246.

Costa P.T., McCrae R.R. (2008). The revised neo personality inventory (neo-pi-r). The SAGE handbook of personality theory and assessment 2, 179–198

Paruma-Pabón O.H., González F.A., Aponte J., Camargo J.E., Restrepo-Calle F. (2016). Finding relationships between socio-technical aspects and personality traits by mining developer e-mails
Workshop on Cooperative and Human Aspects of Software Engineering (CHASE), ICSE.

Rangel F., Celli F., Rosso M., Potthast M., Stein B., Daelemans W. (2015). Overview of the 3rd Author Profiling Task at PAN 2015. CLEF 2015 Labs and Workshops, Notebook Papers. CEUR Workshop Proceedings. CEUR-WS.org, vol. 1391

Task Coordinators