Speed, volume and ease with which information is shared through social networking sites may be making it more difficult for us to think analytically, researchers say.
Scientists including Dr Iyad Rahwan, an Honorary Fellow at the University of Edinburgh, investigated if networks help us imitate analytical thought processes from our peers.
To carry out their experiment they tested university students with a series of brain-straining questions.
As many as 100 volunteers were separated into 5 social networks each with 20 individuals. Connections between the people in the networks were assigned randomly by a computer to fit 5 different network patterns.
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To test how these networks helped the people in them to learn, the scientists quizzed the volunteers with a "cognitive reflection test", a series of questions which rely on analytical reasoning to overcome incorrect intuition.
To see if the social networks helped the people in them to improve their answers the volunteers were asked each of the questions 5 times.
The first time the volunteers had to figure it out on their own, the next 5 times they were allowed to copy the answer from their neighbours in the network.
This result showed that when the students had lots of connections to peers they could recognise where they had given a wrong answer and swap it for the right one, proving to the scientists that well-connected networks can help us get the right answer because we can copy from our peers.
The scientists compared how well the volunteers faired in the three consecutive questions to see if the volunteers were actually getting better at figuring out the problems themselves or just at copying the right answers.
The team said the results show that whilst social networks helped the volunteers choose better answers they didn't prime them to answer more logically themselves, showing that "social learning does not seem to help individuals bypass their bias in favour of intuition but rather help society as a whole thrive despite this bias."
The study was published in the Journal of the Royal Society Interface.