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The Mechanisms of “Incidental News Consumption”

An Eye Tracking Study of News Interaction on Facebook

Bibliographic Data

ID22010598
AuthorsAdrián Vergara Heidke (0000-0001-9487-7089, Universidad de Costa Rica, corresponding author), Adrián Vergara (Universidad de Costa Rica), Ignacio Siles (0000-0002-9725-8694, Universidad de Costa Rica, corresponding author), Ana Claudia Castro (Universidad de Costa Rica), Alonso Chaves (Universidad de Costa Rica)
Year2021
Volume9
Issue2
Pages215-234
Publication date2021-02-07
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDigital Journalism (JOURNAL)
Journal identifiersISSN: 2167-0811 • E-ISSN: 2167-082X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/21670811.2020.1813047
OpenAlexW3082907847
LanguageEN
Citations received12
References cited35

This exploratory study examines how participants incidentally consumed news on social media through an eye tracking analysis of their visual interaction with posts on Facebook. By interaction, we refer to the attention participants gave to news (measured through the time devoted to looking at the content); how they read these news items (measured through ocular movements on the screen); and the way they engaged with this content (measured through forms of participation such as liking, commenting, or sharing news). The data were triangulated through interviews with Facebook users and an analysis of the metrics of posts from Costa Rican news organizations on Facebook from 2017 to 2020. We draw on scholarship in communication studies and multimodal discourse analysis. We argue for a more nuanced approach to what study participants did when they incidentally encountered news on social media that focuses on mechanisms, that is, the specific procedures and operations that shape user interaction with news on Facebook (such as visual fixations on parts of news posts; the visual entry points through which they begin to interact with the news; the sequences that characterize how they navigate content; and the time they spend assessing various multimodal elements)

Advertising · Business · Content analysis · Eye tracking · Internet privacy · News media · Political science · Scholarship · Social media · Sociology · World Wide Web · Communication and COVID-19 Impact · Computer Science · Media Studies and Communication · Psychology · Social Media and Politics

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Unique citing works12
Citations per year2
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12
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