In recent years, our increasing use of technology has resulted in the production of vast
amounts of data. Consequently, many researchers have analyzed digital data in attempt to …

The growing use of social media among Internet users produces a vast and new source of
user generated ecological data, such as textual posts and images, which can be collected …

Is it possible to judge someone accurately from his or her online activity? The Internet
provides vast opportunities for individuals to present themselves in different ways, from …

Objective Since the first study linking recorded smartphone variables to self‐reported
personality in 2011, many additional studies have been published investigating this …

In the past decade, researchers have demonstrated that personality can be accurately
predicted from digital footprint data, including Facebook likes, tweets, blog posts, pictures …

Machine learning methods are widely used by researchers to predict psychological
characteristics from digital records. To find out whether automatic personality estimates …

Android and iPhone devices account for over 90 percent of all smartphones sold worldwide.
Despite being very similar in functionality, current discourse and marketing campaigns …

In the increasingly user-generated Web, users' personality traits may be crucial factors
leading them to engage in this participatory media. The literature suggests factors such as …

Smartphones promise great potential for personality science to study people's everyday life
behaviours. Even though personality psychologists have become increasingly interested in …

There is much recent work on using the digital footprints left by people on social media to
predict personal traits and gain a deeper understanding of individuals. Due to the veracity of …