Social media platforms behave 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 article examines how users explore the digital space and allocate their attention among communities on two social networks, Voat and Reddit. By analyzing 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’ behavior.

Users Volatility on Reddit and Voat / Marco, Niccolò Di; Cinelli, Matteo; Alipour, Shayan; Quattrociocchi, Walter. - In: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. - ISSN 2329-924X. - (2024), pp. 1-9. [10.1109/tcss.2024.3379318]

Users Volatility on Reddit and Voat

Cinelli, Matteo;Alipour, Shayan;Quattrociocchi, Walter
2024

Abstract

Social media platforms behave 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 article examines how users explore the digital space and allocate their attention among communities on two social networks, Voat and Reddit. By analyzing 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’ behavior.
2024
social networking (online); vectors; media; entropy; web sites; video on demand; stability analysis
01 Pubblicazione su rivista::01a Articolo in rivista
Users Volatility on Reddit and Voat / Marco, Niccolò Di; Cinelli, Matteo; Alipour, Shayan; Quattrociocchi, Walter. - In: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. - ISSN 2329-924X. - (2024), pp. 1-9. [10.1109/tcss.2024.3379318]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1713767
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