Researchers from Hannover, Germany, have come up the FireMe! Web tool as a way of warning Twitter users if their tweets will get them fired.
A team from the University of Hannover in Germany has created a Web tool that warns people about their reckless tweets.
FireMe!'s goal is to raise awareness about the dangers and consequences of people being reckless online.
Kawase said he thought of the idea after attending a talk at his university about how the Web is influencing the work environment.
"After the talk I immediately started working on FireMe!," Kawase said, adding that he thought it would be a fun topic for research.
According to New Scientist, the team found that in a single week last June, nearly 22,000 people had tweeted about their boss or work in a negative way.
In order to illustrate just how extreme some tweets can get, FireMe! provides examples of actual tweets that got people fired.
Gilbert Gottfried was fired by Aflac for joking about the tsunami that hit Japan. New York University law fellow Nir Rosen resigned from his fellowship after his remarks about Lara Logan's sexual assault.
So how does FireMe! work?
According to Kawase, the system crawls Twitter with a set of predefined sentences that mention something negative about bosses or the workplace.
"Before it was an alert system — once we identified the user who had said something bad, a tweet was sent to warn them about the dangers of sharing such comments," Kawase said.
The alert system received a mixed response, Kawase said.
"Most people didn't care about getting fired," he said. "Still, 6 percent of users who got the alert actually deleted the tweets."
Twitter recently requested Kawaze to stop this alert system because it was violating the company's policy.
Today, Kawase's team has a website where people can see "bad tweets" via a live stream and check their own FireMe! score on the FireMeter.
Kawaze adds that the FireMeter is non-scientific. "It's goal is to improve engagement with the website," he said. "It's a mixed calculation considering the number of mentions to the boss, work and profanity in the users' timeline."
Source: MSN, New Scientist
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