Similarity of AIGC superspreaders to misinformation superspreaders

Determine whether superspreaders of AI-generated content on social media exhibit characteristics similar to superspreaders of misinformation, such as heightened toxicity and pronounced political orientation, to clarify if these two groups share common behavioral profiles.

Background

Research on misinformation dissemination has shown that a small fraction of users—often called superspreaders—account for most low-credibility content shared on social media, and these users tend to post more toxic language and display strong political orientations.

With the rise of generative AI, a new class of content (AIGC) is being spread online, but whether the users who disproportionately share AIGC resemble misinformation superspreaders in their traits and behaviors has not been established. This work highlights that this relationship had not been directly studied prior to their investigation.