
US senators have drafted a bipartisan bill to regulate social media recommendation algorithms. Writes about it The Verge.
The draft, prepared by Senators Amy Klobuchar and Cynthia Lummis, directs the National Science Foundation (NSF) and the National Academy of Sciences, Engineering and Medicine (NASEM) to explore content-neutral ways to limit the seamless sharing of content on the Internet.
If adopted, the researchers will identify ways to slow the spread of malicious content and misinformation, whether through asking users to read the article before publishing it, or other measures. The Federal Trade Commission will then systematize the recommendations and oblige social networks like Facebook and Twitter to put them into practice.
“For far too long, tech companies have said, ‘Trust us, we’ll figure it out.’ But we know that social networks have repeatedly put profit over people, and algorithms have promoted dangerous content that catches users and spreads misinformation,” Klobuchar said.
According to Lummis, the bill is the right step to address the issue of tech companies’ over-exposure to Americans.
“Giving [NSF] and [NASEM] opportunity to study social media addiction, we will begin to fully understand the impact of platforms and their algorithms on society,” the senator said.
Earlier, American parliamentarians made similar proposals. By contrast, the Klobuchar-Lammis bill does not require amendments to section 230 of the Communications Decency Act, which removes liability from online platforms for third-party content.
Recall that in October 2021, Facebook whistleblower Francis Haugen accused the company of deliberately using misinforming and discriminatory algorithms for the sake of profit.
In November, Congressmen introduced a bipartisan bill to regulate social media recommendation algorithms.
In January 2022, US lawmakers proposed to almost completely ban targeted advertising on the Internet.
Subscribe to Cryplogger news in Telegram: Cryplogger AI – all the news from the world of AI!
Found a mistake in the text? Select it and press CTRL+ENTER

US senators have drafted a bipartisan bill to regulate social media recommendation algorithms. Writes about it The Verge.
The draft, prepared by Senators Amy Klobuchar and Cynthia Lummis, directs the National Science Foundation (NSF) and the National Academy of Sciences, Engineering and Medicine (NASEM) to explore content-neutral ways to limit the seamless sharing of content on the Internet.
If adopted, the researchers will identify ways to slow the spread of malicious content and misinformation, whether through asking users to read the article before publishing it, or other measures. The Federal Trade Commission will then systematize the recommendations and oblige social networks like Facebook and Twitter to put them into practice.
“For far too long, tech companies have said, ‘Trust us, we’ll figure it out.’ But we know that social networks have repeatedly put profit over people, and algorithms have promoted dangerous content that catches users and spreads misinformation,” Klobuchar said.
According to Lummis, the bill is the right step to address the issue of tech companies’ over-exposure to Americans.
“Giving [NSF] and [NASEM] opportunity to study social media addiction, we will begin to fully understand the impact of platforms and their algorithms on society,” the senator said.
Earlier, American parliamentarians made similar proposals. By contrast, the Klobuchar-Lammis bill does not require amendments to section 230 of the Communications Decency Act, which removes liability from online platforms for third-party content.
Recall that in October 2021, Facebook whistleblower Francis Haugen accused the company of deliberately using misinforming and discriminatory algorithms for the sake of profit.
In November, Congressmen introduced a bipartisan bill to regulate social media recommendation algorithms.
In January 2022, US lawmakers proposed to almost completely ban targeted advertising on the Internet.
Subscribe to Cryplogger news in Telegram: Cryplogger AI – all the news from the world of AI!
Found a mistake in the text? Select it and press CTRL+ENTER