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Recent study finds most users are unable to detect fake news on social media

IANS
18th Jul 2017
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As the spread of fake news on social media gains momentum, researchers now reveal that people can detect a fake image of a real-world scene only 60 percent of the time.

Even then, they can tell what is wrong with the image only 45 percent of the time, the researchers added.

The high-quality of these fake images were to be blamed for this, said the team from University of Warwick.

"This has serious implications," said Sophie Nightingale, PhD student and lead author, adding "People are exposed to these fakes on a daily basis through social networking sites, the Internet and the media."

Domenico Loia from Unsplash

To reach this conclusion, the researchers set up an online test that used a bank of 40 images created from 10 original images sourced from Google Images.

Six of the original images were subjected to five different types of manipulation, including physically implausible and physically plausible manipulations, to create 30 manipulated images.

Over 700 participants in the online test were shown 10 random images that included each of the five manipulation types and five original images. People aged aged 13-70 were asked to view a set of images of ordinary scenes – such as a man standing in a residential street, or a woman posing next to a canal – taken by the researchers.

Participants never saw a manipulation or original form of the same image twice.

Sixty percent of images were correctly identified as being manipulated.

"We found that people were better at detecting physically implausible manipulations but not any better at locating these manipulations, compared to physically plausible manipulations," explained Derrick Watson, study co-author, in a paper published in the journal Cognitive Research: Principles and Implications.

"We need to work to find better ways to protect people from the negative effects of photo manipulation, and we're now exploring a number of ways that might help people to better detect fakes," said Kimberley Wade, another co-author.

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