Stories through Data: The Relationship between COVID-19 and Data Graphics on The New York TimesFront Page

The COVID-19 pandemic hit the US in early 2020, radically redefining the daily patterns of millions of people. This project investigates the impact of the pandemic on data graphics usage in reporting and its implications for data literacy. The survey comprises 226 data graphics appearing on the front page of The New York Times from 2019 through 2022. Graphics were collected, categorized along a number of metrics, and visualized along with pandemic caseload and death data from The New York Times. Analysis reveals that these graphics tended to be centrally located above the fold, brightly colored, and took on one of three graphical architectures––time series, bar graph, or map. Perhaps most notably, the average number of front page information graphics per month more than tripled (from 1.6 to 5.2) in the 4 years from 2019 to the end of 2022. However, the average size of graphics followed no consistent trend. Separately, the increase in data graphics coincides with a decrease in test scores indicative of data literacy rates among school children, in a context where data literacy was already poor across age groups. These results bring up concerns regarding critical reader engagement with news graphics.

Name thesis:degree_name

Bachelor

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Architecture

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2023

Author dc:creator

• Green, Juliana C.

Advisor dc:contributor.advisor

• Fry, Ben

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/151620

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/151620