Biplot of most engaged topics for both news and parties datasets.

<p>Close points and vectors suggest similar profiles.</p>

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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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