By Steve StraehleyAssociated PressPublished Mar 04, 2018 07:33:07A new way to distinguish between fake and real stories on social media is the use of a color-coded “truth” button on news reports.
Researchers say they’ve developed a system that helps users distinguish between the two, in a study published in the journal PLOS ONE.
Researchers from the University of Texas, Austin, and the University at Albany, New York, developed the system in a paper published this month in PLOS One.
They say they hope it will help them improve the accuracy of the news media in the coming years, and that people might eventually be more likely to believe the information presented on their screens.
The researchers say the system relies on a combination of computer vision, artificial intelligence, and facial recognition software.
The system, which was created using a dataset of about 300,000 stories published on social networks, measures whether the information it presents is fake or not, based on whether it appears on newsfeeds or in a news article.
It also shows users whether the news article includes false information or accurate information, the researchers said.
The team’s method, called truth detection, is based on the idea that if a news source presents misleading information, it is likely to be false.
False news, the authors say, is more likely than the truth to be misleading.
The paper describes a number of methods that researchers developed to detect fake news, such as including headlines from news reports that have been filtered, which are often false.
The authors also developed a tool that helps people distinguish between false and real articles.
The data on the website of the Associated Press was gathered using data collected through automated tests of various social media platforms.
The AP was also involved in a separate study with a different dataset.
The authors say they have used the data to develop an algorithm that can automatically detect news stories from news feeds and from news articles.
It could also be used to determine which stories should be displayed to users.
They also say the data collected could help the AP’s news team better determine which news stories are real and which are not.
The researchers are working on using the data for other purposes, such in research.
They say the researchers hope to use the algorithm to determine whether stories are true or not by the end of 2019.