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Thursday, September 29, 2011

Love: Cornell Lab's Twitter-Mining Captures Global Mood Patterns | Wired Science

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Excerpt:

"...An analysis of mood patterns distilled from half a billion tweets has produced a civilization-scale picture of how moods rise and fall in tandem, over time and across the world.

The details seem intuitive: positive feelings peaking in the morning, dipping during work and rising at day’s end; negativity accumulated over the workweek dissipating late on Friday afternoon. But they’ve proved surprisingly tricky to measure.

“There’s a whole generation of lab work that’s been inconclusive,” said sociologist Scott Golder of Cornell University, co-author of the tweet analysis published Sept. 29 in Science. “Every study would have something different to say about what they saw in their subjects’ affective rhythms.”

Many studies of how moods — or, more technically, positive and negative affect — change from minute to minute and day to day rely on self-reported surveys, which can be inconsistent if not misleading. The subjects of these studies also tend to be undergraduate students from western colleges, a group that’s not always representative of humanity at large.

'A systematic daily pattern of positive mood is a fundamental part of human existence.'..."

Posted via email from Siobhan O'Flynn's 1001 Tales

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