PsyPost reports:

A recent study provides evidence that TikTok’s recommendation system tends to expose users to more conservative and anti-Democrat political content than liberal material. This ideological imbalance occurs regardless of a user’s initial political interests, suggesting that automation plays a significant role in modern information access. The research was published in the scientific journal Nature.

Researchers at New York University Abu Dhabi’s AI and Society Lab conducted the new research to explore how automated internet systems shape what political news the public sees. Experts debate whether internet polarization is driven by people seeking out their own preferred viewpoints or by computer algorithms pushing extreme content to keep users engaged.

Corresponding author Talal Rahwan noted the difficulty of answering this question on older platforms. “Our previous work studied recommendation algorithms on YouTube, and a persistent challenge was disentangling algorithmic influence from user self-selection,” he told PsyPost.

TikTok offers a helpful environment for testing algorithmic influence because its primary interface relies heavily on automation. “TikTok’s For You page, where the algorithm drives nearly everything users see, offered a uniquely clean setting to study that question, especially with the 2024 election making political content on the platform increasingly consequential,” Rahwan added. [Continue reading…]