New research published in the journal Misinformation Review uncovered how users on social media platforms in particular are more likely to believe misinformation, compared to consumers of traditional media.
In their study, the use of machine learning in assessing cognitive function was initiated in conjunction with biotech company BenevolentAI.
The study was conducted by a team of researchers at the American Institute of Physics.
The study was published online in the journal HCI for Cybersecurity, Privacy and Trust.
Conducted at the Ludwig Maximilian University of Munich, a research team there gathered more than 600 participants for their study.
The findings were published in Nature Medicine.
The findings, released online in Emotion, included the examination of nearly 3,000 adolescents from more than a dozen Australian schools.
The study, which mixes machine learning with systems theory, was steered by lead author Walter Bomela.
The findings were published in Psychological Science.
To examine the extent to which people consume inaccurate news on social media, researchers analyzed a two-year span of posts from 750 adult users on Facebook and Twitter.
