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

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

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