"Long-term word frequency dynamics derived from Twitter are corrupted: A ..."

Peter Sheridan Dodds et al. (2020)

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access: open

type: Informal or Other Publication

metadata version: 2021-12-07

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  - journals/corr/abs-2008-11305
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Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, David Rushing Dewhurst, Andrew J. Reagan, Christopher M. Danforth:
Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series. CoRR abs/2008.11305 (2020)

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