How do social media users process cancer prevention messages on Facebook? An eye-tracking study.

Autor: Chou WS; Behavioral Research Program, National Cancer Institute, 9609 Medical Center Dr., Rockville, MD 20892, United States. Electronic address: chouws@mail.nih.gov., Trivedi N; Behavioral Research Program, National Cancer Institute, 9609 Medical Center Dr., Rockville, MD 20892, United States., Peterson E; Behavioral Research Program, National Cancer Institute, 9609 Medical Center Dr., Rockville, MD 20892, United States., Gaysynsky A; Behavioral Research Program, National Cancer Institute, 9609 Medical Center Dr., Rockville, MD 20892, United States., Krakow M; Behavioral Research Program, National Cancer Institute, 9609 Medical Center Dr., Rockville, MD 20892, United States., Vraga E; George Mason University, 4400 University Dr., MS 3D6, Fairfax, VA 22030, United States.
Jazyk: angličtina
Zdroj: Patient education and counseling [Patient Educ Couns] 2020 Jun; Vol. 103 (6), pp. 1161-1167. Date of Electronic Publication: 2020 Jan 28.
DOI: 10.1016/j.pec.2020.01.013
Abstrakt: Objective: The quality of cancer-related information on social media (SM) is mixed, and exposure to inaccurate information may negatively affect knowledge, attitudes, and behaviors. This study examines SM users' attention to simulated Facebook posts related to cancer and identifies message features associated with increased attention.
Methods: SM users (N = 53) participated in a mixed methods experimental study using eye-tracking technology, whereby participants' dwell time on message components was measured. Stimuli conditions included message format (narrative/non-narrative), information veracity, source (organization/individual), and cancer topic (HPV vaccine and sunscreen safety).
Results: Pixel-size adjusted analyses revealed that average dwell time was longer on posts attributed to individuals and on narrative-based posts. The source of the message received nearly the same amount of dwell time as the text. Dwell time on other message components did not significantly differ by condition.
Conclusion: This study found that the source of a message attracted substantial attention, whereas other features were not associated with attention. The study illustrates how communication research can help us understand the processing of ubiquitous cancer-related messages on SM.
Practical Implications: Health communication practitioners should consider message features that garner attention when developing efforts to facilitate the exchange of evidence-based information and to mitigate the harms of misinformation.
(Published by Elsevier B.V.)
Databáze: MEDLINE
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