Twitter uses the
algorithm to personalize the content its users see on their home timelines.
Cambridge University
professor Ferenc Huszar and his colleagues quantified whether Twitter's
algorithm amplifies left-leaning or right-leaning content using a randomized
control group of nearly two million daily active Twitter users chosen by the
platform to receive content in reverse-chronological order without
personalization and a treatment group representing 4 per cent of all other
accounts with personalized timelines.
The authors analyzed the algorithmic
amplification effect on tweets made by 3,634 elected politicians from major
political parties in seven countries that are highly represented on Twitter.
The authors also measured the algorithmic
amplification of 6.2 million political news articles shared in the United
States. The results suggest that in six out of the seven countries, the
personalization algorithm significantly favoured the amplification of tweets
from politically right-leaning sources.
Right-leaning US news services were also
preferentially amplified. Contrary to popular assumptions, far-left-leaning and
far-right-leaning outlets were not significantly amplified, compared with
politically moderate outlets.
According to the authors, the results
contribute to the evidence-based debate on the role of personalization
algorithms in shaping political content consumption.
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