A year full of fake news: 22 new fake news sites emerged every month in the US
According to a study conducted by Storyzy on 1,800 fake news sites representing 1,7 billion visits per month, 22 new fake news sites on average were created every month in the US since the beginning of 2017, a strong trend that began in 2016 during the US presidential campaign. Robots are the only way to detect these new sites and eventually stop the increase and spreading of fake news.
Currently, manual lists fail to catch up with the pace of the spreading of fake news sites. The well-known public lists of fake news sites such as Politifact, Open Source (updated recently on April 2017) or FactCheck.org, etc. are not online anymore when clicked on their links. The major problem using a manual list revolves around the frequency of the updates. Under this framework, users do not know how often the list is updated and also are not aware whether a new site that has emerged recently was added to the list or not. The reason why the update of these manual lists is difficult and demanding is the fact that they are made and maintained by humans. It is practically beyond the reach of a human being to scan the entire web and keep up with the uncontrollable pace of spreading. On the contrary, for a robot with an enormous and fast capacity of calculation, this task won’t entail the aforementioned challenges.
Doubtlessly, this robot must be able to recognize if a site is a fake news site or not. At Storyzy, using Artificial Intelligence, our robot is able to automatically identify every new fake news site. For example, last August the Neo-Nazi website “Daily Stormer” became active again after having been censored, our robot was able to detect the newly active site.
2016: 24 new fake news sites per month
Currently our list has more than 1,800+ fake news sites representing more than 1,7 billion visits per month. Through an analysis based on their creation date we noticed that in 2016, 24 new sites on average were created each month and 22 new sites on average emerged in 2017.
Imagine you are an advertiser and you want to avoid displaying your ads on these websites. The only accurate way to be sure of this is to use an updated list of fake news sites created by a robot. Considering the volume of websites, using a manual analysis won’t put forth a sufficient solution. Your campaign could appear on some unknown sites as fake news sites, because they recently emerged and nobody ever heard about them.