Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter

Author:

Alshaabi Thayer123ORCID,Adams Jane L.12ORCID,Arnold Michael V.12ORCID,Minot Joshua R.12ORCID,Dewhurst David R.124,Reagan Andrew J.5,Danforth Christopher M.123ORCID,Dodds Peter Sheridan123ORCID

Affiliation:

1. Vermont Complex Systems Center, University of Vermont, Burlington, VT 05405, USA.

2. Computational Story Lab, University of Vermont, Burlington, VT 05405, USA.

3. Department of Computer Science, University of Vermont, Burlington, VT 05405, USA.

4. Charles River Analytics, Cambridge, MA 02138, USA.

5. MassMutual Data Science, Boston, MA 02110, USA.

Abstract

We present Storywrangler, an interactive cultural exploratorium of phrase popularity using 100 billion tweets in 100 languages.

Funder

MassMutual Financial Group

Google

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference66 articles.

1. Quantitative analysis of culture using millions of digitized books;Michel J.-B.;Sci. Mag.,2011

2. Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution

3. HathiTrust

4. A Standardized Project Gutenberg Corpus for Statistical Analysis of Natural Language and Quantitative Linguistics

5. E. Sandhaus The New York Times Annotated Corpus (Linguistic Data Consortium 2008).

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