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Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis
BACKGROUND: Communicating official public health information about infectious diseases is complicated by the fact that individuals receive much of their information from their social contacts, either via interpersonal interaction or social media, which can be prone to bias and misconception. OBJECTI...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663576/ https://www.ncbi.nlm.nih.gov/pubmed/34817389 http://dx.doi.org/10.2196/25287 |
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author | Assaf, Elias Bond, Robert M Cranmer, Skyler J Kaizar, Eloise E Ratliff Santoro, Lauren Shikano, Susumu Sivakoff, David J |
author_facet | Assaf, Elias Bond, Robert M Cranmer, Skyler J Kaizar, Eloise E Ratliff Santoro, Lauren Shikano, Susumu Sivakoff, David J |
author_sort | Assaf, Elias |
collection | PubMed |
description | BACKGROUND: Communicating official public health information about infectious diseases is complicated by the fact that individuals receive much of their information from their social contacts, either via interpersonal interaction or social media, which can be prone to bias and misconception. OBJECTIVE: This study aims to evaluate the effect of public health campaigns and the effect of socially communicated health information on learning about diseases simultaneously. Although extant literature addresses the effect of one source of information (official or social) or the other, it has not addressed the simultaneous interaction of official information (OI) and social information (SI) in an experimental setting. METHODS: We used a series of experiments that exposed participants to both OI and structured SI about the symptoms and spread of hepatitis C over a series of 10 rounds of computer-based interactions. Participants were randomly assigned to receive a high, low, or control intensity of OI and to receive accurate or inaccurate SI about the disease. RESULTS: A total of 195 participants consented to participate in the study. Of these respondents, 186 had complete responses across all ten experimental rounds, which corresponds to a 4.6% (9/195) nonresponse rate. The OI high intensity treatment increases learning over the control condition for all symptom and contagion questions when individuals have lower levels of baseline knowledge (all P values ≤.04). The accurate SI condition increased learning across experimental rounds over the inaccurate condition (all P values ≤.01). We find limited evidence of an interaction between official and SI about infectious diseases. CONCLUSIONS: This project demonstrates that exposure to official public health information increases individuals’ knowledge of the spread and symptoms of a disease. Socially shared information also facilitates the learning of accurate and inaccurate information, though to a lesser extent than exposure to OI. Although the effect of OI persists, preliminary results suggest that it can be degraded by persistent contradictory SI over time. |
format | Online Article Text |
id | pubmed-8663576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-86635762022-01-05 Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis Assaf, Elias Bond, Robert M Cranmer, Skyler J Kaizar, Eloise E Ratliff Santoro, Lauren Shikano, Susumu Sivakoff, David J J Med Internet Res Original Paper BACKGROUND: Communicating official public health information about infectious diseases is complicated by the fact that individuals receive much of their information from their social contacts, either via interpersonal interaction or social media, which can be prone to bias and misconception. OBJECTIVE: This study aims to evaluate the effect of public health campaigns and the effect of socially communicated health information on learning about diseases simultaneously. Although extant literature addresses the effect of one source of information (official or social) or the other, it has not addressed the simultaneous interaction of official information (OI) and social information (SI) in an experimental setting. METHODS: We used a series of experiments that exposed participants to both OI and structured SI about the symptoms and spread of hepatitis C over a series of 10 rounds of computer-based interactions. Participants were randomly assigned to receive a high, low, or control intensity of OI and to receive accurate or inaccurate SI about the disease. RESULTS: A total of 195 participants consented to participate in the study. Of these respondents, 186 had complete responses across all ten experimental rounds, which corresponds to a 4.6% (9/195) nonresponse rate. The OI high intensity treatment increases learning over the control condition for all symptom and contagion questions when individuals have lower levels of baseline knowledge (all P values ≤.04). The accurate SI condition increased learning across experimental rounds over the inaccurate condition (all P values ≤.01). We find limited evidence of an interaction between official and SI about infectious diseases. CONCLUSIONS: This project demonstrates that exposure to official public health information increases individuals’ knowledge of the spread and symptoms of a disease. Socially shared information also facilitates the learning of accurate and inaccurate information, though to a lesser extent than exposure to OI. Although the effect of OI persists, preliminary results suggest that it can be degraded by persistent contradictory SI over time. JMIR Publications 2021-11-23 /pmc/articles/PMC8663576/ /pubmed/34817389 http://dx.doi.org/10.2196/25287 Text en ©Elias Assaf, Robert M Bond, Skyler J Cranmer, Eloise E Kaizar, Lauren Ratliff Santoro, Susumu Shikano, David J Sivakoff. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.11.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Assaf, Elias Bond, Robert M Cranmer, Skyler J Kaizar, Eloise E Ratliff Santoro, Lauren Shikano, Susumu Sivakoff, David J Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis |
title | Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis |
title_full | Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis |
title_fullStr | Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis |
title_full_unstemmed | Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis |
title_short | Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis |
title_sort | understanding the relationship between official and social information about infectious disease: experimental analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663576/ https://www.ncbi.nlm.nih.gov/pubmed/34817389 http://dx.doi.org/10.2196/25287 |
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