Study reveals those who score low in the personality trait of conscientiousness are more likely to share misinformation or fake news.
Regardless of educational level, people who scored higher in tests of emotional intelligence were better able to identify fake news.
Study uncovers how misinformation and fake news can spread via social media platforms like Twitter. Those with high numbers of mutual followers are more likely to spread "dreadful" misinformation. Findings could offer solutions to prevent fake news dissemination.
The patterns of reasoning deceptive people use may serve as indicators of truthfulness, a new AI algorithm discovered. Researchers say reasoning intent is more reliable than verbal changes and personal differences when trying to determine deception.
As a growing number of the general population reject scientific facts or misinterpret findings, researchers call for other scientists to achieve and maintain research integrity to obtain greater public trust.
The sequence of letters influences whether people believe a message to be true or fake.
Fabricated news stories cause people to create false memories, especially if the content of the stories align with their political beliefs. While people who scored low on cognitive tests were no more prone to forming false memories, they were more likely to remember false facts that aligned with their opinions. People with higher cognitive ability are more likely to question their personal biases and the news source.
A new online game where users take on the role of fake news producers improves people's ability to discern real information from disinformation, irrespective of education, age, cognitive style or political views.
A machine learning classifier identified, with over 65% accuracy, April Fools hoaxes and fake news stories. Based on the findings, researchers present guidelines for recognizing April Fools hoaxes and fake news stories in the media.
Study reveals less than 9% of Americans shared links to fake news via social media during the 2016 presidential election. However, the behavior was disproportionately common in baby boomers, or those over the age of 65.
Researchers have created a new deep learning system that can determine if a news outlet is accurate or biased based on only 150 articles published. The algorithm can also detect the political leanings of a news site. Researchers say fake news articles are more likely to use language that is hyperbolic, subjective and emotional.
Researchers say the tendency to believe in conspiracies and fake news may be rooted in childhood development.
