학술논문

Identification, Impacts, and Opportunities of Three Common Measurement Considerations when using Digital Trace Data
Document Type
Working Paper
Source
Subject
Computer Science - Human-Computer Interaction
Computer Science - Computers and Society
Economics - Econometrics
Language
Abstract
Cataloguing specific URLs, posts, and applications with digital traces is the new best practice for measuring media use and content consumption. Despite the apparent accuracy that comes with greater granularity, however, digital traces may introduce additional ambiguity and new errors into the measurement of media use. In this note, we identify three new measurement challenges when using Digital Trace Data that were recently uncovered using a new measurement framework - Screenomics - that records media use at the granularity of individual screenshots obtained every few seconds as people interact with mobile devices. We label the considerations as follows: (1) entangling - the common measurement error introduced by proxying exposure to content by exposure to format; (2) flattening - aggregating unique segments of media interaction without incorporating temporal information, most commonly intraindividually and (3) bundling - summation of the durations of segments of media interaction, indiscriminate with respect to variations across media segments.
Comment: 15 pages with refs, 1 figure, 1 table