Social Networks

Nov 192015
 

Expression & Positive Emotions. Amiable Old Woman with Beaming Toothy Smile

An analysis of 3,800 randomly chosen Twitter users found that emotions spread virally through Twitter feeds – with positive emotions far more likely to spread than negative ones.

“What you tweet and share on social media outlets matters. Often, you’re not just expressing yourself – you’re influencing others,” said Emilio Ferrara, lead author of the study and a computer scientist at the USC Viterbi School of Engineering’s Information Sciences Institute. Ferrara collaborated with Zeyao Yang of Indiana University. Their study was published by the journal PLOS One on Nov. 6.

Ferrara and Yang used an algorithm that measures the emotional value of tweets, rating them as positive, negative or neutral. They compared the sentiment of a user’s tweet to the ratio of the sentiments of all of the tweets that appeared in that user’s feed during the hour before. Higher-than-average numbers of positive tweets in the feed were associated with the production of positive tweets, and higher-than-average numbers of negative tweets were associated with the production of negative tweets.

About 20 percent of Twitter users were deemed highly susceptible to what the researchers described as “emotional contagion” – with more than half of their tweets affected. Those users were four times more likely to be affected by positive tweets than negative ones.

Those least likely to be affected by emotional contagion were still a little less than twice as likely to be affected by positive tweets as negative ones. Over all users, regardless of susceptibility, positive emotions were found to be more contagious than negative emotions. This may be relevant to plan interventions on users experiencing depression or other forms of mood disorders, Ferrara said.

The study builds on decades of research demonstrating first that emotions can be spread through person-to-person contacts, and now finding that they can spread through online interactions as well.

Facebook drew criticism last year for attempting to demonstrate a similar effect by tweaking 700,000 users’ news feeds. Unlike that experiment, Ferrara and Yang did not manipulate what Twitter users were experiencing – rather, they simply observed what was already happening and analyzed it.

 

Source: UNIVERSITY OF SOUTHERN CALIFORNIA

Nov 032015
 

Have you ever used Airbnb or other peer-to-peer accommodation services when travelling? If yes, you are likely to travel more than you used to, you choose your destination from among a wider set of alternatives, and you are more active in your destination.

Oct 082015
 

Research from Baylor University’s Hankamer School of Business confirms that cellphones are damaging romantic relationships and leading to higher levels of depression. James A. Roberts, Ph.D., The Ben H. Williams Professor of Marketing, and Meredith David, Ph.D., assistant professor of marketing, published their study – “My life has become a major distraction from my cell

The science of retweets

 The science of retweets  News, Social Networks  Comments Off on The science of retweets
Oct 072015
 

An algorithm that takes into account the past activity of each of your followers — and makes predictions about future tweeting — can lead to more “retweets” than other commonly used methods, such as posting at peak traffic times.

Aug 042015
 

The study, carried out by researchers from Universidad Carlos III de Madrid (UC3M) in collaboration with the Swiss Federal Institute of Technology in Zurich, the IMDEA Networks Institute and NEC Laboratories, has just been published in the journal PLOS ONE. The analysis focuses on the “trending topics” of Twitter because they share some of the

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