A few weeks of X's algorithm can make you more right-wing—and it doesn't wear off quickly

Phys.org

February 19, 2026

AI-Generated Deep Dive Summary

A new study published in *Nature* reveals that X's algorithm, which controls the posts users see and their order, can shift political opinions toward a more conservative direction after just a few weeks of use. The research highlights that this influence is significant and long-lasting, with effects not wearing off quickly. This finding underscores the powerful impact social media algorithms can have on shaping user behavior and beliefs. The study explains that X's algorithm prioritizes posts that generate higher engagement, often leading to the promotion of more extreme or right-wing content. Over time, users are exposed to a disproportionate amount of conservative viewpoints, creating a feedback loop where their political attitudes become increasingly aligned with these narratives. This effect is particularly concerning because it occurs without users being explicitly aware of the algorithm's role in shaping their perspectives. The implications of this research are profound, especially for those interested in science and technology. It demonstrates how algorithmic systems can subtly influence human behavior at scale, raising important questions about ethical responsibility in tech design. Understanding these dynamics is crucial for developing more transparent and balanced algorithms that mitigate unintended biases. For readers engaged with science, this study provides insights into the intersection of technology and human psychology. It highlights the need for further research into how digital platforms shape societal attitudes and behaviors. Moreover, it emphasizes the importance of critically evaluating the tools we use daily, as they may have subtle yet significant impacts on our beliefs and values. In conclusion, the findings from this study are a wake-up call for both tech companies and users alike. As social media continues to play a central role in shaping public discourse, understanding the ethical and societal implications of algorithmic systems becomes increasingly vital. This research not only advances our knowledge of human behavior but also calls for greater accountability and transparency in the design and implementation of digital platforms.

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Originally published on Phys.org on 2/19/2026