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Computational Paremiology: Charting the temporal, ecological dynamics of proverb use in books, news articles, and tweets

arXiv 2107.04929 ↗First posted 10 Jul 2021cs.CLcited by 0

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Abstract (arXiv)

Proverbs are an essential component of language and culture, and though much attention has been paid to their history and currency, there has been comparatively little quantitative work on changes in the frequency with which they are used over time. With wider availability of large corpora reflecting many diverse genres of documents, it is now possible to take a broad and dynamic view of the importance of the proverb. Here, we measure temporal changes in the relevance of proverbs within three corpora, differing in kind, scale, and time frame: Millions of books over centuries; hundreds of millions of news articles over twenty years; and billions of tweets over a decade. We find that proverbs present heavy-tailed frequency-of-usage rank distributions in each venue; exhibit trends reflecting the cultural dynamics of the eras covered; and have evolved into contemporary forms on social media.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 67 references that are in the map. First posted on arXiv 10 Jul 2021.

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6 of 67 references.

References · 6

  1. 2016The emotional arcs of stories are dominated by six basic shapescited by 69
  2. 2015Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolutioncited by 15
  3. 2020Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twittercited by 15
  4. 2014Zipf's law holds for phrases, not wordscited by 12
  5. 2014Text mixing shapes the anatomy of rank-frequency distributions: A modern Zipfian mechanics for natural languagecited by 6
  6. 2020Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathycited by 4

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