A chemical group of Slovenian and British research worker used something called “ sentiment analysis ” to distinguish emotional contentMovie Camera in Post left on the BBC ’s online discussion forums and the link - sharing website digg.com .
The team ’s algorithmic rule look for features such as keywords , emoticons , and pernicious linguistic marking such as misspellings , and use the results to calculate a “ happiness score ” for each Wiley Post .
“ If you desire a recollective Old World chat , do n’t start by saying ‘ I love this ! ’ , at least not online , ” says Mike Thelwall , pass of the Statistical Cybermetrics enquiry group in Wolverhampton , UK .
Self - organised demeanor
The investigator also noticed that avalanches of negative emotion – floods of messages with low felicity mark , spurred by a unmarried post – produce ego - organised behavior amongst users .
Negative emotions accelerate the number of messages sent by substance abuser , in turn generating societal groups from nowhere , state Thelwall . A individual Wiley Post can speedily generate a community of interests of feeling if it is provocative enough .
In fact , this is all typically human behaviour . “ There is grounds that mathematical group cohesiveness may be relate to damaging intuitive feeling about others , ” agrees Tom Buchanan , a psychologist at the University of Westminster in London . “ member of an on-line residential area might unite around a comprehend flak on them or some aspect of their identity . ”
gratefully , the researchers have some advice for those that would rather steer clean of bad feeling online . “ We ’ve seen that the least vigorous discussions lean to be about get on rock hotshot , ” says Thelwall .
Journal book of facts : The researchers have recently lend two papers to the physics archive : arxiv.org/1011.5459,arxiv.org/1011.6268
This mail service originally appeared onNew Scientist .
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