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US social media misinformation study
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2026-07-30 06:12 UTC → 2026-08-04 09:12 UTC ·
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Two related July 2024 releases detail detailed a large‑scale experiment conducted during the 2020 U.S. presidential election that reduced cut exposure to repeatedly flagged untrustworthy sources on Facebook and Instagram by about roughly 70 %. The first release (July 29) reports that the feed adjustment did not alter change participants’ political attitudes or core beliefs, even among those previously exposed to the most misinformation. It also notes Both releases noted that a small minority of users (roughly (about 23 % on Facebook and 11 % on Instagram) accounted for generated the majority bulk of untrustworthy content. The following release (July 30) provides additional prevalence data, indicating content, and that the median user saw only about 1.1 % of feed content from such sources on Facebook and 0.1 % on Instagram, with Instagram. A July 2026 UC Berkeley study, published in *Science Advances*, replicated the experiment and confirmed the same concentration pattern confirmed. Both releases conclude reduction in exposure and the same lack of measurable impact on political beliefs, emphasizing that algorithmic tweaks alone are insufficient to cannot shift deeply held views. An August 2026 Meta‑conducted study of nearly 16,000 U.S. users found that removing content flagged by third‑party fact‑checkers also produced essentially zero change in voter attitudes. Together, the findings reinforce the conclusion that combating political views, suggesting broader polarization will require interventions are needed. beyond simple feed adjustments.
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- 2026-08-04 09:12 UTC US social media misinformation study
- 2026-07-30 06:12 UTC US social media misinformation study
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