Bipartite network data points.

<div><p>Social networks are a battlefield for political propaganda. Protected by the anonymity of the internet, political actors use computational propaganda to influence the masses. Their methods include the use of synchronized or individual bots, multiple accounts operated by one socia...

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Bibliographic Details
Main Author:	Alon Sela (12231559) (author)
Other Authors:	Omer Neter (20642541) (author), Václav Lohr (20642544) (author), Petr Cihelka (20642547) (author), Fan Wang (135182) (author), Moti Zwilling (15618106) (author), John Phillip Sabou (20642550) (author), Miloš Ulman (20642553) (author)
Published:	2025
Subjects:	Medicine Sociology Space Science Biological Sciences not elsewhere classified recent exponential growth legitimate news sent detection even harder cultural background since alternative truth spheres multiple accounts operated two different classes propaganda &# 8212 estimating political influences div >< p social network algorithms scale disasters ), large language models two types social networks scale properties fake accounts different manipulations network structure network properties word appearance value </ total size statistical properties search engines rhetoric —< repetition distribution political topics political propaganda political ones political discussions p </ methods include individual bots identify statistical growing concerns fundamental macro enable us computational propaganda also expected 6 related 13 gb 10 related
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Bipartite network data points.

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