Background Relatively little is known about how communication changes as a function of
depression severity and interpersonal closeness. We examined the linguistic features of …

Most adolescents with depression remain undiagnosed and untreated—missed
opportunities that are costly from both personal and public health perspectives. A promising …

Background Cross sectional studies have identified linguistic correlates of major depressive
disorder (MDD) in smartphone communication. However, it is unclear whether monitoring …

While studies show links between smartphone data and affective symptoms, we lack clarity
on the temporal scale, specificity (eg, to depression vs. anxiety), and person-specific (vs …

Abstract Major Depressive Disorder (MDD) is a leading health burden worldwide. Previous
research has demonstrated that linguistic analysis of depressed individuals' written and oral …

We are in dire need of innovative tools for reducing the global burden of psychopathology.
Emerging evidence suggests that analyzing language (ie, the words people use) can grant …

Online harassment negatively impacts mental health, with victims expressing increased
concerns such as depression, anxiety, and even increased risk of suicide, especially among …

Stratifying depressed individuals may help to improve recovery rates by identifying the
subgroups who would benefit from targeted treatments. Detecting depressed individuals …

AI tools intend to transform mental healthcare by providing remote estimates of depression
risk using behavioral data collected by sensors embedded in smartphones. While these …

Sentiment analysis measures user experience on social media. With the emergence of pre-
trained models, text classification tasks have become homogeneous, without a significant …