ArticleScience advances2021
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Ousiometrics: The essence of meaning aligns with a power-danger-structure framework instead of valence-arousal-dominance.Science advances · 2026Article
- When dialects collide: how socioeconomic mixing affects language use.EPJ data science · 2025Article
- Language Statistics at Different Spatial, Temporal, and Grammatical Scales.Entropy (Basel, Switzerland) · 2024Article
- Understanding the Consumption of Antimicrobial Resistance-Related Content on Social Media: Twitter Analysis.Journal of medical Internet research · 2023Article
- Twitter misogyny associated with Hillary Clinton increased throughout the 2016 U.S. election campaign.Scientific reports · 2023Article
- Article
- Doomscrolling during COVID-19: The negative association between daily social and traditional media consumption and mental health symptoms during the COVID-19 pandemic.Psychological trauma : theory, research, practice and policy · 2022Article
- Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study.JMIR mental health · 2022Article
- Article
- How the world's collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter.PloS one · 2021Article
- Hurricanes and hashtags: Characterizing online collective attention for natural disasters.PloS one · 2021Article
- Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning.Frontiers in artificial intelligence · 2021Article
- The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020.EPJ data science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In real time, Twitter strongly imprints world events, popular culture, and the day-to-day, recording an ever-growing compendium of language change. Vitally, and absent from many standard corpora such as books and news archives, Twitter also encodes popularity and spreading through retweets. Here, we describe Storywrangler, an ongoing curation of over 100 billion tweets containing 1 trillion 1-grams from 2008 to 2021. For each day, we break tweets into 1-, 2-, and 3-grams across 100+ languages, generating frequencies for words, hashtags, handles, numerals, symbols, and emojis. We make the dataset available through an interactive time series viewer and as downloadable time series and daily distributions. Although Storywrangler leverages Twitter data, our method of tracking dynamic changes in
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.