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Identification, Impacts, and Opportunities of Three Common Measurement Considerations when using Digital Trace Data

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arxiv 2310.00197 v1 pith:HMMWFQU2 submitted 2023-09-30 cs.HC cs.CYecon.EM

Identification, Impacts, and Opportunities of Three Common Measurement Considerations when using Digital Trace Data

classification cs.HC cs.CYecon.EM
keywords mediameasurementdigitalsegmentscommonconsiderationscontentdata
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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