Users volatility on Reddit and Voat
April 21, 2023 Β· Declared Dead Β· π IEEE Transactions on Computational Social Systems
"No code URL or promise found in abstract"
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Authors
NiccolΓ² Di Marco, Matteo Cinelli, Shayan Alipour, Walter Quattrociocchi
arXiv ID
2304.10827
Category
physics.soc-ph
Cross-listed
cs.SI
Citations
9
Venue
IEEE Transactions on Computational Social Systems
Last Checked
3 months ago
Abstract
Social media platforms are like giant arenas where users can rely on different content and express their opinions through likes, comments, and shares. However, do users welcome different perspectives or only listen to their preferred narratives? This paper examines how users explore the digital space and allocate their attention among communities on two social networks, Voat and Reddit. By analysing a massive dataset of about 215 million comments posted by about 16 million users on Voat and Reddit in 2019 we find that most users tend to explore new communities at a decreasing rate, meaning they have a limited set of preferred groups they visit regularly. Moreover, we provide evidence that preferred communities of users tend to cover similar topics throughout the year. We also find that communities have a high turnover of users, meaning that users come and go frequently showing a high volatility that strongly departs from a null model simulating users' behaviour.
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