Analyzing User Ideologies and Shared News During the 2019 Argentinian Elections
arxiv(2023)
摘要
The extensive data generated on social media platforms allow us to gain
insights over trending topics and public opinions. Additionally, it offers a
window into user behavior, including their content engagement and news sharing
habits. In this study, we analyze the relationship between users' political
ideologies and the news they share during Argentina's 2019 election period. Our
findings reveal that users predominantly share news that aligns with their
political beliefs, despite accessing media outlets with diverse political
leanings. Moreover, we observe a consistent pattern of users sharing articles
related to topics biased to their preferred candidates, highlighting a deeper
level of political alignment in online discussions. We believe that this
systematic analysis framework can be applied to similar scenarios in different
countries, especially those marked by significant political polarization, akin
to Argentina.
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