New research revealed concerning findings about the impact of Elon Musk’s Twitter algorithm changes, reportedly amplifying anger and animosity among users, particularly towards those with opposing views. 

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According to the researchers, the study was a controlled experiment, which did not involve internal access as they relied on participants who willingly provided access to their tweets through the online crowd-working platform CloudResearch Connect. 

The researchers examined tweets displayed to 806 users in February and gathered two sets of data simultaneously: the top 10 tweets presented by Twitter’s personalized “For You” timelines and the top ten tweets appearing in the chronological newsfeed. 

The study stated that the only distinction between the two sets of tweets was whether they were algorithm-selected or not. 

“We found that the algorithm amplifies tweets expressing stronger emotions (on four different dimensions: anger, happiness, sadness, and anxiety), especially those with anger.” 

It further stated, “Exposure to these algorithm-selected tweets results in users perceiving their political in-group more positively and the political out-group more negatively, potentially contributing to greater affective polarization.”

While the “For You” section is intended to display tweets from accounts and topics that users follow, along with recommended content, it seems that the underlying algorithm behind these recommendations fails to meet the expectations of many users.

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