In the age of social media, people's inner lives are increasingly recorded through the language they use online. With this in mind, an interdisciplinary group of
In a recent study, published in the journal PLOS ONE (http://dx.plos.org/10.1371/journal.pone.0073791), 75,000 people voluntarily completed a common personality questionnaire through a
Their analysis allowed them to generate computer models that were able to predict the individuals' age, gender and their responses on the personality questionnaires they took. These prediction models were surprisingly accurate. For example, the researchers were correct 92 percent of the time when predicting users' gender based only on the language of their status updates.
The success of this "open" approach suggests new ways of researching connections between personality traits and behaviors and measuring the effectiveness of psychological interventions.
The study is part of the
It was led by
The Penn team collaborated with
The researchers' study draws on a long history of studying the words people use as a way of understanding their feelings and mental states, but took an "open" rather than "closed" approach to analyzing the data at its core.
Most Popular Stories
- MasterCard to Split Shares, Raise Dividend
- Bipartisan Negotiators Reach Modest Budget Agreement
- Justin Bieber Visits Typhoon Victims, Plays Concert
- Russia Says Nyet to Canada North Pole Claim
- AIG to Create 230 Jobs in Charlotte
- Senate Dems Move Forward With Obama Nominees
- GOP, Dems Strain to Unearth a Modest Budget Pact
- Obama Nominee Confirmed for D.C. Appeals Court
- New Obama Aide to Focus on Climate Change
- Office Depot Moving HQ to Florida