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For more than a decade scholars have been investigating the disinformationflow on social media contextually to societal events, like, e.g., elections. Inthis paper, we analyze the Twitter traffic related to the US 2020 pre-electiondebate and ask whether it mirrors the electoral system. The U.S. electoralsystem provides that, regardless of the actual vote gap, the premier candidatewho received more votes in one state `takes' that state. Criticisms of thissystem have pointed out that election campaigns can be more intense inparticular key states to achieve victory, so-called {\it swing states}. Ourintuition is that election debate may cause more traffic on Twitter-andprobably be more plagued by misinformation-when associated with swing states.The results mostly confirm the intuition. About 88\% of the entire traffic canbe associated with swing states, and links to non-trustworthy news are sharedfar more in swing-related traffic than the same type of news in safe-relatedtraffic. Considering traffic origin instead, non-trustworthy tweets generatedby automated accounts, so-called social bots, are mostly associated with swingstates. Our work sheds light on the role an electoral system plays in theevolution of online debates, with, in the spotlight, disinformation and socialbots.

Swinging in the States: Does disinformation on Twitter mirror the US presidential election system?