Excerpt from this article:
By finding patterns in the messages – such as readability, frequency of swearing and tendency to veer off topic – Cheng thinks there are clues to “who’s behind this bad behaviour.” And Cheng, whose fellowship is sponsored by Microsoft, isn’t the only one who believes our personalities, mental states, and even physical health are reflected in the language we use online.
It turns out, the comments we make online reveal a lot about us. Researchers are now analyzing online comments for a wide array of predictive patterns and signals, using Internet discussions and social media as sources of constant, easy-to-access information about what’s going on in people’s lives.
Their efforts may eventually allow health professionals to monitor patients’ well-being based on their Twitter streams and Facebook entries. Controversially, employers or insurance companies could one day screen job applicants and potential clients based on their social media status updates.