Biplot of parties grouped by engaged topics.

<div><p>In 2024, a significant portion of the global population will participate in elections, creating an opportunity to analyze how information spreads and how users behave on social media. This study examines the media landscape on Facebook by analyzing posts from political parties an...

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Bibliographic Details
Main Author:	Giulio Pecile (20678050) (author)
Other Authors:	Niccolò Di Marco (14173530) (author), Matteo Cinelli (8575176) (author), Walter Quattrociocchi (522167) (author)
Published:	2025
Subjects:	Cell Biology Neuroscience Biotechnology Evolutionary Biology Ecology Science Policy Biological Sciences not elsewhere classified major news outlets measuring public engagement identifying key topics global election landscape 2024 </ p user engagement media landscape global population xlink "> users behave uncover patterns study examines social media significant portion providing insights political parties political ideology political discourse media content information spreads findings show distinguish trends audience interaction analyzing posts
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Biplot of parties grouped by engaged topics.

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