Fake news are invading every corner of the Internet. With no higher authority to control the quality of articles, any publisher has a free pass with any kind of topic. However, their impact on society sparked scandal after 2016 presidential elections when several reports identified how viral yet misleading texts influenced constituents. As a consequence, numerous platforms started rallying against such content. So far, Facebook’s new measure seems the most appropriate one.
Facebook’s New Measure Against Fake News Called Related Articles
While other companies are in danger to fall into the pit of censorship, Facebook avoids this mistake by offering more choices of articles on the same topic. The secret is to select those articles that study a different perspective of the same subject.
As a consequence, the platform will roll out a feature called “Related Articles” that will be visible below news links. Those posts that will be accompanied by adjacent ones will be those that gathered suspicions of being fake news as well as viral stories that people are sharing a lot.
This way, Facebook is turning into a platform that offers suggestions and does not discriminate or censor local content. Therefore, users will be able to consult different sources on the same topic which will enable them to shape a comprehensive view on the matter. Through this new measure, the company might manage to curb the influence false news used to acquire so easily.
The Neuter Algorithms Are the Only Ones That Decide Selections of Additional Articles
The novel feature has already appeared in Netherlands, France, the United States, and Germany. These were the first choices as they are already supporting fact checking efforts. Facebook News Feed integrity product manager Tessa Lyons explained these latest changes as ways to offer users the possibility to remain as close to the truth as possible.
“We don’t want to be and are not the arbiters of the truth. The fact checkers can give the signal of whether a story is true or false.”
The feature is based solely on algorithms which exclude potentially biased choices of Related Articles. The main strategy is to avoid proposing posts that received lots of comments or reports for being fake.
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