More information about the project
"According to the project website, ""Online penetration and growth of online content is increasing at a rapid rate, 46% penetration and 10% y-o-y growth as of 2016. However, as seen in recent news (e.g., Facebook’s interference with US elections), users are being subject to biased/non neutral information. Every news story or article is stained by the bias of an author’s experiences, judgements and predispositions. As humans, we communicate emotional statements as well as states of the world, and the way we choose to say things can often influence user experience. Since the 2016 presidential election, the number of searches for “Fake News” has increased ~25 fold. The US media ranks worst in the world and surprisingly, half of Americans believe that online news websites report fake news regularly. For this reason, we wanted to identify and prevent the spread of misinformation online by quantifying bias, working closely with the AI for Good Foundation. We proposed a model that predicts articles’ “bias score” based on selected features. The score encourages readers
to be more critical and attempts to mitigate the negative effects of bias."""