Fig 1.
Workflow illustrating the steps to acquire, analyse, and interpret text data.
Fig 2.
Model representation of regression analysis.
Table 1.
Average and Standard Deviation per profile (n = 283).
Fig 3.
Positive and negative sentiment usage across the sample population (logarithmic scale).
Fig 4.
Gendered usage of confidence-expressing statements on Facebook profiles.
Table 2.
LIWC dictionary attributes significantly predicting the trait openness.
Table 3.
LIWC dictionary attributes significantly predicting the trait conscientiousness.
Table 4.
LIWC dictionary attributes significantly predicting the trait extraversion.
Table 5.
LIWC dictionary attributes significantly predicting the trait agreeableness.
Table 6.
LIWC dictionary attributes significantly predicting the trait neuroticism.
Table 7.
Prediction accuracy, explained variance, and nested cross-validation values of the five factor personality traits compared to the accuracy and explained variance of [48].
Table 8.
Performance comparison of standard ALM results and 10-fold cross-validated (CV) ALM results.