High levels of activity in the ventromedial prefronal cortex activity reflect how much people want to read a specific news article, researchers say. Additionally, those who infrequently read the news were better able to predict which news stories would go viral.
Valuing our identity over our accuracy leads us to accept incorrect information that aligns with the beliefs of the political party we support, researchers report.
A new article reports artificial intelligence can be a useful tool in spotting fake news online, but it can also be used to generate misleading, seemingly credible, information.
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 reveal news stories about potential threats become more negative, hysterical and inaccurate when passed from person to person. The study reveals the effect is not counteracted by presenting people with more balanced and neutral facts.
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.
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.
Young adults are more likely to recall and share information pertaining to politics and government policy if it is presented in a humorous, entertaining manner.