People, not search-engine algorithms, choose unreliable or partisan news – Nature.com
Believing false news or conspiracy theories on the Internet has real-world consequences. For instance, a discredited conspiracy theory known as Pizzagate gave rise to the much bigger QAnon conspiracy, which ultimately contributed to the attack on the US Capitol building in January 2021 (see https://bbc.in/3zBFFcb). It’s often thought that the personalized algorithms of big platforms such as Facebook and Google facilitate exposure to problematic information1, keeping their users in ‘filter bubbles’ and ‘echo chambers’ that distort their view of reality2. But scientific studies that try to measure this phenomenon are rare. Writing in Nature, Robertson et al.3 describe their attempt to quantify both exposure to and engagement with online news. They show that a person’s choices trump Google Search’s algorithmic recommendations in terms of their consumption of unreliable or partisan news.
doi: https://doi.org/10.
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