September 29, 2011
Twitter Study Tracks When We Are :)By BENEDICT CAREY
However grumpy people are when they wake up, and whether they stumble to their feet in Madrid, Mexico City or Minnetonka, Minn., they tend to brighten by breakfast time and feel their moods taper gradually to a low in the late afternoon, before rallying again near bedtime, a large-scale study of posts on the social media site Twitter found.
Drawing on messages posted by more than two million people in 84 countries, researchers discovered that the emotional tone of people’s messages followed a similar pattern not only through the day but also through the week and the changing seasons. The new analysis suggests that our moods are driven in part by a shared underlying biological rhythm that transcends culture and environment.
The report, by sociologists at Cornell University and appearing in the journal Science, is the first cross-cultural study of daily mood rhythms in the average person using such text analysis. Previous studies have also mined the mountains of data pouring into social media sites, chat rooms, blogs and elsewhere on the Internet, but looked at collective moods over broader periods of time, in different time zones or during holidays.
“There’s just a torrent of new digital data coming into the field, and it’s transforming the social sciences, creating new lenses to look at all sorts of behaviors,” said Peter Sheridan Dodds, a researcher at the University of Vermont who was not involved in the new research. He called the new study “very exciting, because it complements previous findings” and expands on what is known about how mood fluctuates.
He and other outside researchers also cautioned that drawing on Twitter had its hazards, like any other attempt to monitor the fleeting internal states labeled as moods. For starters, Twitter users are computer-savvy, skew young and affluent, and post for a variety of reasons.
“Tweets may tell us more about what the tweeter thinks the follower wants to hear than about what the tweeter is actually feeling,” said Dan Gilbert, a Harvard psychologist, in an e-mail. “In short, tweets are not a simple reflection of a person’s current affective state and should not be taken at face value.”
The study’s authors, Scott A. Golder and Michael W. Macy, acknowledge such limitations and worked to correct for them. In the study, they collected up to 400 messages from each of 2.4 million Twitter users writing in English, posted from February 2008 through January 2010.
They analyzed the text of each message, using a standard computer program that associates certain words, like “awesome” and “agree,” with positive moods and others, like “annoy” and “afraid,” with negative ones. They included so-called emoticons, the face symbols like “:)” that punctuate digital missives.
The researchers gained access to the messages through Twitter, using an interface that allows scientists as well as software developers to work with the data.
The pair found that about 7 percent of the users qualified as “night owls,” showing peaks in upbeat-sounding messages around midnight and beyond, and about 16 percent were morning people, who showed such peaks very early in the day.
After accounting for these differences, the researchers determined that for the average user in each country, positive posts crested around breakfast time, from 6 a.m. to 9 a.m.; they fell off gradually until hitting a trough between 3 p.m. and 4 p.m., then drifted upward, rising more sharply after dinner.
To no one’s surprise, people’s overall moods were lowest at the beginning of the workweek, and rose later, peaking on the weekend. (The pattern of peak moods on days off held for countries where Saturday and Sunday are not the weekend.)
The pattern on weekend days was shifted about two hours later — the morning peak closer to 9 a.m. and the evening one past 9 p.m., most likely because people sleep in and stay up later — but the shape of the curve was the same.
“This is a significant finding because one explanation out there for the pattern was just that people hate going to work,” Mr. Golder said. “But if that were the case, the pattern should be different on the weekends, and it’s not. That suggests that something more fundamental is driving this — that it’s due to biological or circadian factors.”
The researchers found no evidence for the winter blues, the common assumption that short winter days contribute to negative moods. Negative messages were as likely during the winter as in the summer.
But positively rated messages tracked the rate at which day length changed: that is, they trended upward around the spring equinox in late March, and downward around the fall equinox in late September. This suggests that seasonal mood changes are due more to a diminishing of positive emotions in anticipation of short days, the authors say.
Dr. Dodds, the University of Vermont researcher, has been doing text analysis of Twitter messages worldwide as well, to get a reading on collective well-being, among other things. He said the new study comported well with his own recent analysis. “We find that swearing goes up with negative mood in the very same way,” he said. “It tracks beautifully with the pattern they’re showing.”
Social scientists analyzing digital content agree that, for all its statistical appeal, the approach still needs some fine-tuning. On Twitter, people routinely savage others with pure relish and gush sarcastically — and the software is not sophisticated enough to pick up these subtleties.
“I suspect that if you counted the good and bad words people said during intercourse, you’d mistakenly conclude that they were having an awful time,” Dr. Gilbert said.
Access Source And It's Great Content: http://www.nytimes.com/2011/09/30/science/30twitter.html
The victims in the movie can’t quit. They need the jobs. Instead, they compose elaborate, farcical plots to eliminate the bosses.
In real life, horrible bosses are the stuff of tragedy, not comedy. Workplace discontent is no joke. Some surveys show that as many as half of American workers feel low levels of work engagement, stemming in part from poor management.
It’s not insults that cause the greatest harm, but rather callousness about people’s time. Horrible bosses want control. They expect subordinates to be on call 24/7 and to hit unrealistic deadlines with limited resources. When the work product is delivered, horrible bosses may ignore it for long intervals, making it clear that the deadline was artificial and the stress unnecessary.
To minimize the impact of horrible bosses, companies can ensure that performance reviews are based on objective measures, not subjective ones. They can examine tasks and workloads for relevance and fairness. They can offer training to teach respectful behavior. They can police sexual harassment and make flexibility a right. But formal processes go only so far. Employees sometimes find themselves worse off when they use official complaint mechanisms.
The best cure for horrible bosses is alternative relationships and collaboration. Organizations that foster strong, multidimensional relationships among colleagues weaken the control of a single autocratic boss. They make it more likely that the sins of horrible bosses will be exposed to others who can stop them.
Groups caught in a horror show can end the misery by banding together to focus on goals and show compassion for one another. Jane Dutton of the University of Michigan, a leader in the positive psychology movement, has shown that simple gestures of caring can humanize the workplace and raise levels of performance.
Another good way to neutralize horrible bosses is to focus on the mission and help others around you succeed. A manager I’ll call Pierre was sent by his company to lead a turnaround, as COO, of a low-performing subsidiary in a developing country. The country CEO was imperialistic and antagonistic. He gave Pierre a basement office with no staff and proceeded to ignore him. Pierre’s corporate bosses told him to work it out. After a few days of feeling depressed, Pierre decided to move into the tiny office next to the CEO and find his own assistant from outside the company, someone with no history with or allegiance to the CEO.
Then he forged ahead with relationship-building. He identified the best performers in the unit who he thought would be the most independent of the CEO’s power. He met with them in small groups and provided abundant performance data and ideas for growing the business. Soon they were leading their peers in making changes. The horrible boss couldn’t control Pierre and couldn’t stop the momentum. The boss became impotent in his irrelevance—and later was fired for corruption. In the movie, the three friends help one another, and the horrible bosses fall on their own swords. Real life is not as dramatic or entertaining. Still, an underlying truth holds: The best cure for horrible bosses is wonderful colleagues.
Access Contet Source And Its Great Stuff: http://hbr.org/2011/10/the-cure-for-horrible-bosses/ar/1