include older individuals using more future tense verbs [@chung2007psychological] triggering a shift in focus while aging. They also show positive emotions [@pennebaker2003words] and employ fewer self-references (i.e. ’I’, ’me’) with greater first person plural [@chung2007psychological]. Depressed users employ first person pronouns more frequently [@rude2004language], repeatedly use negative emotions and anger words. We analyzed psycholinguistic cues and language style to study the association between depressive behavior as well as demographics. Particularly, we adopt Levinson’s adult development grouping [^21] that partitions users in $U_a$ into 5 age groups: (14,19\],(19,23\], (23,34\],(34,46\], and (46,60\]. Then, we apply LIWC for characterizing linguistic styles for each age group for users in $U_a$.

**Qualitative Language Analysis:** The recent LIWC version [^22] summarizes textual content in terms of language variables such as analytical thinking, clout, authenticity, and emotional tone. It also measures other linguistic dimensions such as descriptors categories (e.g., percent of target words gleaned by dictionary, or longer than six letters - Sixltr) and informal language markers (e.g., swear words, netspeak), and other linguistic aspects (e.g., 1st person singular pronouns.)

**Thinking Style:** Measuring people’s natural ways of trying to analyze, and organize complex events have strong association with analytical thinking. LIWC relates higher analytic thinking to more 