Rabble-Rousers in the New King's Court: Algorithmic Effects on Account Visibility in Pre-X Twitter
This research addresses concerns about algorithmic bias and behavioral incentives on social media platforms, providing insights into how content visibility shapes online discourse, though it is incremental by building on prior work.
The study examined algorithmic effects on account visibility in Twitter before its rebranding to X, finding that right-leaning accounts gained more exposure not due to politics but because they posted agitating content and received attention from Elon Musk, with legacy-verified accounts receiving less exposure.
Algorithmic effects on social media platforms have come under recent scrutiny, with several studies reporting that right-leaning accounts tend to receive more exposure. In this paper, we expand upon this body of work using data collected from user feeds after Twitter's change of ownership but before its re-branding to X. We replicate findings from prior work regarding the increased exposure of right-leaning accounts to wider audiences in algorithmically curated compared to reverse-chronological feeds, and, crucially, we further unpack this effect to illuminate what correlated (and did not correlate) with these differences. Our results reveal that right-leaning accounts benefited not necessarily due to their political affiliation, but likely because they behaved in ways associated with algorithmic rewards; namely, posting more agitating content and receiving attention from the platform's owner, Elon Musk, who was the most central network account. We also demonstrate that legacy-verified accounts, like businesses and government officials, received less exposure in the algorithmic feed compared to non-verified or Twitter Blue-verified accounts. We discuss implications of these findings for the intersection between behavioral incentives for algorithmic reach and the health of online discourse.