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arXiv · 2005.02442

Reliable and Efficient Long-Term Social Media Monitoring

Jian Cao·Nicholas Adams-Cohen·R. Michael Alvarez
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Abstract

Social media data is now widely used by many academic researchers. However, long-term social media data collection projects, which most typically involve collecting data from public-use APIs, often encounter issues when relying on local-area network servers (LANs) to collect high-volume streaming social media data over long periods of time. In this technical report, we present a cloud-based data collection, pre-processing, and archiving infrastructure, and argue that this system mitigates or resolves the problems most typically encountered when running social media data collection projects on LANs at minimal cloud-computing costs. We show how this approach works in different cloud computing architectures, and how to adapt the method to collect streaming data from other social media platforms.

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Jian Cao, Nicholas Adams-Cohen, R. Michael Alvarez. 2020-05-05. Reliable and Efficient Long-Term Social Media Monitoring. https://arxiv.org/abs/2005.02442

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