Another study cited here found that certain words on Facebook are often surprisingly reliable indicators of personality. The researchers used predictive algorithms to efficiently create large-scale and reliable personality assessments.
The automated language-based research models yielded personality traits that were consistent with the personality traits that individuals reported themselves. “Automated methods can accurately predict the scores that users would receive on personality tests,” confirms speaker Gregory Park. The research is published in the Journal of Personality and Social Psychology.
The researchers used predictive algorithms
It is a particularly beneficial advantage of big data and social media for psychology. With just a few algorithms lesson learned: mistakes to avoid is so clear what kind of personalities you and I have. It should be possible to gain insight into the personalities of millions of users in a fairly simple way.
Facebook status updates reflect personality traits
A study in which Facebook plays a role was also published in Assessment . In this study, the statuses of Facebook users (who had given permission) were automatically analyzed. It turned out that certain phrases are predictive of specific personality traits (for example, openness, friendliness and emotional stability).
People who score high on neuroticism in a personality assessment are more likely to use the words “sadness,” “loneliness,” caseno email list “fear,” and “pain” in status updates (in the study: sadness, loneliness, fear, pain ). The researchers believe that the automated research models will reveal connections that would effective paragraph generatornever be apparent in traditional surveys.
Microblogging – Flat Design
Twitter: Accurate predictor of health and risk factors Personality tests are
In addition to Facebook, Twitter is an interesting research channel. Researchers compared tweets and cardiovascular diseases within a community. The research shows that language analyses could predict the risk of cardiovascular diseases just as well or even better than traditional epidemiological risk factors.