The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020

The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020

Abstract Working from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150 languages on Twitter. We find that eight languages comprise 80% of all tweets, with English, Japanese, Spanish, Arabic, and Portuguese...

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Bibliographic Details
Main Authors: Thayer Alshaabi, David Rushing Dewhurst, Joshua R. Minot, Michael V. Arnold, Jane L. Adams, Christopher M. Danforth, Peter Sheridan Dodds
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:EPJ Data Science
Subjects:
NLP
Sociolinguistics
Social contagion
Twitter
Signal processing
Online Access:https://doi.org/10.1140/epjds/s13688-021-00271-0

Internet

https://doi.org/10.1140/epjds/s13688-021-00271-0

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