“

“We worked with anonymized aggregated data to analyze usage trends,” Counts says. “We did not look at individual tweets because the goal was to map out characteristics of social-media mood expression. We were interested in discovering how often different types of moods were expressed, activity rates, and participatory patterns such as conversational engagement and information sharing. We achieved large-scale validations of what we knew of human moods, based on psychology literature, and also ran into quite a few surprises.”

One surprise was that, out of the 203 different moods, negative moods appeared more frequently than positive moods and covered a wider range of mood expressions. Furthermore, negative moods were usually of mid-level activation. Positive moods were less frequent than negative and represented a smaller range, but they tended to have high-level activation: words such as “win,” “happy,” and “ecstatic”occurred frequently.

”

From “In the Mood for Social Media”

Via Microsoft Research Labs

[Disclosure: Microsoft is a client of Performics, my employer]

Notes

  1. modernandmaterialthings posted this