“We validated our hypothesis that the network and word statistics information, respectively, exhibit unique strengths for the prediction of inter‐personal traits such as autism, and mental health traits such as schizophrenia and anxiety,” the examine authors observe of their analysis. “We also found that intelligence is predicted by all four types of social network service information.”
For occasion, “our analysis showed that people with high verbal intelligence tended to tweet frequently and were more favorited,” the authors write. “These people also showed stable timing in their replies.”
Network info additionally predicted issues like extraversion properly, whereas timing was linked with things like intelligence and pro- versus anti-social conduct.
As for psychological well being predictors, “Emotional words had strong predictive power, with the use of more negative words and less positive words predicting delusion, depression, and anxiety,” they write.