Factmata.Com - Credible Media Checker

A crowdsourced community platform powered by advanced machine learning for tackling fake news and misleading content on the web. Sign up with Email to stay up to date on our plans.

OUR TECHNOLOGY - A TRUST SCORE ON INFORMATION Factmata has developed patent-pending technology to deal with hate speech, propaganda, fake news and clickbait. Our goal is to be able to provide a real time quality and credibility score to any piece of content on the web. CURRENT CAPABILITIES Hate speech and abusive content This includes the existence of sexist, racist or ethnic statements that use slur, attack or criticize a minority (without a well founded argument), seek to distort views on a minority with unfounded claims, negatively stereotype a minority, or defend xenophobia or sexism. Propaganda and extremely politically biased content Hyperpartisan news can be understood as extremely one-sided, extremely biased news articles. These articles provide an unbalanced and provocative point of view in describing events, and often contain strong sentiment in describing political parties or politicians, with positive/negative association; insulting/aggravating or slanderous statements towards people or parties; direct calls to action to support a particular faction or aggressive campaigning, and finally content which tends to cherry pick evidence to support its own biases and arguments. Spoof websites and content spread by known fake news networks We define fake news as those websites or articles propagating untrue information, knowing they are untrue, to deceive others. This definition is heavily focused on intent, as other types of websites containing untrue information (e.g. satire, fiction) are not included in our definition of fake news. This system picks up fake news content propagated by known fake news sites (and networks of sites), content that links to such sites, and sites that try to spoof or plagiarise the branding of reputable news publishers. Extreme clickbait content We define extreme clickbait content as currently focused on articles that have headlines that are clearly and aggressively created to incentivise clicks and shares. Often, this type of content has headlines that don’t match the nature of the content being talked about in the article, promoted aggressively for engagement. We are soon building algorithms to classify the quality and credibility of any piece of content, both text and videos. THE FACTMATA APPROACH Factmata uses artificial intelligence, communities, and expert knowledge to identify and classify problematic content. Artificial Intelligence Our algorithms use advanced natural language processing and artificial intelligence to learn what different types of deceptive content look like from vast, uniquely annotated and labelled datasets of example material, and then detect them in the wild. Communities To help the algorithms continue to do a better job, we also make use of communities and people who provide their own feedback. Expert knowledge Finally, through our work with expert journalists and social science researchers, we have developed heuristics which allow us to quickly highlight problematic content.

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Factmata
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Machine learning to battle misinformation

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