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Erschienen in:
Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization Kapitel lesen Erstes Kapitel lesen

2023 | OriginalPaper | Buchkapitel

The Effects of Message Sorting in the Diffusion of Information in Online Social Media

verfasst von : Diego F. M. Oliveira, Kevin S. Chan, Peter J. Mucha

Erschienen in: Complex Networks and Their Applications XI

Verlag: Springer International Publishing

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Abstract

In this work, we propose an agent-based model to study the effects of message sorting on the diffusion of low- and high-quality information in online social networks. We investigate the case in which each piece of information has a numerical proxy representing its quality, and the higher the quality, the greater are the chances of being transmitted further in the network. The model allows us to study how sorting information in the agent’s attention list according to their quality, node’s influence and popularity affect the overall system’s quality, diversity and discriminative power. We compare the three scenarios with a baseline model where the information is organized in a first-in first-out manner. Our results indicate that such an approach intensifies the exposure of high-quality information increasing the overall system’s quality while preserving its diversity. However, it significantly decreases the system’s discriminative power.

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Vorheriges Kapitel Change My Mind: Data Driven Estimate of Open-Mindedness from Political Discussions
Nächstes Kapitel Gradual Network Sparsification and Georeferencing for Location-Aware Event Detection in Microblogging Services
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Metadaten
Titel
The Effects of Message Sorting in the Diffusion of Information in Online Social Media
verfasst von
Diego F. M. Oliveira
Kevin S. Chan
Peter J. Mucha
Copyright-Jahr
2023
Buch
Complex Networks and Their Applications XI

Print ISBN: 978-3-031-21126-3

Electronic ISBN: 978-3-031-21127-0

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-3-031-21127-0_9

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