Open AccessSurveying the Landscape of Numbers in U.S. News
Author(s) -
John Voiklis,
Jena BarchasLichtenstein,
Bennett Attaway,
Uduak Thomas,
Shivani Ishwar,
Patti Parson,
Laura Santhanam,
Isabella Isaacs-Thomas
Publication year - 2021
Publication title -
numeracy
Language(s) - English
Resource type - Journals
ISSN - 1936-4660
DOI - 10.5038/1936-4660.15.1.1406
Subject(s) - dimension (graph theory) , news media , sample (material) , phrase , politics , function (biology) , quantitative assessment , computer science , quantitative analysis (chemistry) , content analysis , political science , sociology , media studies , mathematics , social science , natural language processing , statistics , law , chemistry , chromatography , evolutionary biology , pure mathematics , biology
The news arguably serves to inform the quantitative reasoning (QR) of news audiences. Before one can contemplate how well the news serves this function, we first need to determine how much QR typical news stories require from readers. This paper assesses the amount of quantitative content present in a wide array of media sources, and the types of QR required for audiences to make sense of the information presented. We build a corpus of 230 US news reports across four topic areas (health, science, economy, and politics) in February 2020. After classifying reports for QR required at both the conceptual and phrase levels, we find that the news stories in our sample can largely be classified along a single dimension: The amount of quantitative information they contain. There were two main types of quantitative clauses: those reporting on magnitude and those reporting on comparisons. While economy and health reporting required significantly more QR than science or politics reporting, we could not reliably differentiate the topic area based on story-level requirements for quantitative knowledge and clause-level quantitative content. Instead, we find three reliable clusters of stories based on the amounts and types of quantitative information in the news stories.