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New Delhi: Social media is expanding the fact-finding for huge Facebook photos and videos to take action and take action against more misunderstandings.
Facebook has said in its news page that it has created a machine learning model that uses various engagement signals with feedback from people on Facebook to potentially identify false content.
"Then we send those photographs and videos to the facts-investigators for their review, or the fact-investigators can create the surface on their own material. Many of the partners who examine the facts of our third party evaluate photos and videos Is specializing in and is trained in visual verification techniques, such as searching and analyzing image metadata, such as when photos and videos and Yes was taken. The company said it would be able to fact-checker other journalistic practices, such as experts, academics or assessed by adding photos or videos of truth or Jutita these skills to use research from government agencies.
Facebook further said that it uses Optical Character Recognition (OCR) to draw text from photos and compare that text with headlines from facts-checker articles.
"We are also working on new ways of knowing whether a photo or video has been used or not. These technologies have been used to identify more potentially misleading photos and videos to send facts to investigators for manual review. Will help.
This week Facebook said that it is creating a novel artificial intelligence (AI) system that uses text learning to identify text in images and video as well as machine learning to transcribe it. With a novel AI system called Rosetta, Facebook can process more than one billion public images and Instagram images and video frames (in a wide variety of languages) through the system efficiently. The extracted text is then used by the downstream classifier to work on product applications like instant policy-infringing material or photo search.
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