Social media algorithms can alter political views, browser extension study shows
A browser extension powered by AI can reduce how people feel about opposing political views, according to new research that looked into the 2024 US presidential election.
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00:00Researchers in the United States have developed a new tool that allows independent scientists to study how social media algorithms affect users without needing the platform's permission.
00:12The findings of the study suggest that platforms could reduce political polarization by downranking hostile content in their algorithms.
00:19The tool, a browser extension powered by artificial intelligence, scans posts on X for any themes of anti-democratic and extremely negative partisan views.
00:31This includes posts calling for violence or jailing supporters of an opposition party.
00:36It then reorders posts on the X feed in just seconds, so the polarizing content would be pushed further down to the end of the user's feed.
00:441,200 people participated in the study, conducted by researchers from Stanford University, Northeastern University, and the University of Washington.
00:55Their feeds were modified for 10 days during the election season in the lead-up to the 2024 U.S. presidential race.
01:03The study showed that users who were exposed to less insightful content reflected less sadness and anger while using social media platforms.
01:14Which is the theme of why are they happy each outspoken in this?
01:16The test his response is to оказ적 social media presence, as the same scholar on the documented media response to the massive influence of moral peace and menjadi.
01:17The study presupes that have beenienced by police and theByteitti, Race
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