Deceptive well being content material has racked up an estimated 3.eight billion views on Fb Inc over the previous yr, peaking throughout the COVID-19 pandemic, advocacy group Avaaz stated in a brand new report on Wednesday.
The report discovered that content material from 10 “superspreader” websites sharing well being misinformation had nearly 4 instances as many Fb views in April 2020 as equal content material from the websites of 10 main well being establishments, such because the World Well being Group and the Facilities for Illness Management and Prevention.
The social media big, which has been beneath strain to curb misinformation on its platform, has made amplifying credible well being data a key component of its response. It additionally began eradicating misinformation concerning the novel coronavirus outbreak that it stated might trigger imminent hurt.
“Fb’s algorithm is a significant menace to public well being. Mark Zuckerberg promised to offer dependable data throughout the pandemic, however his algorithm is sabotaging these efforts by driving lots of Fb’s 2.7 billion customers to well being misinformation-spreading networks,” stated Fadi Quran, marketing campaign director at Avaaz.
“We share Avaaz’s aim of limiting misinformation, however their findings do not mirror the steps we have taken to maintain it from spreading on our companies,” stated a Fb firm spokeswoman.
“Because of our international community of fact-checkers, from April to June, we utilized warning labels to 98 million items of COVID-19 misinformation and eliminated 7 million items of content material that would result in imminent hurt. We have directed over 2 billion folks to sources from well being authorities and when somebody tries to share a hyperlink about COVID-19, we present them a pop-up to attach them with credible well being data,” she stated.
Avaaz’s report additionally stated that warning labels from fact-checkers had been utilized inconsistently even when misinformation had been discovered to be false.
The report tracked how content material from a pattern of misinformation-sharing web sites was shared on Fb by decoding out there Fb knowledge between Might 2019 and Might 2020.
(Apart from the headline, this story has not been edited by NDTV employees and is revealed from a syndicated feed.)