Evidence map›Paper›PMID 30005224›Full record

ArticleSocial science & medicine (1982)2018

Legacy and social media respectively influence risk perceptions and protective behaviors during emerging health threats: A multi-wave analysis of communications on Zika virus cases.

Man-Pui Sally Chan, Kenneth Winneg, Lauren Hawkins, Mohsen Farhadloo, Kathleen Hall Jamieson, Dolores Albarracín

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Mental health risks of pandemic-related media communication: The mediating roles of distinct types of perceived threat.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Use of Digital Tools in Arbovirus Surveillance: Scoping Review.Journal of medical Internet research · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Impact of Social Media Shared Health Content on Protective Behavior against COVID-19.International journal of environmental research and public health · 2023
    Article
  15. Article
  16. Article
  17. How Italy Tweeted about COVID-19: Detecting Reactions to the Pandemic from Social Media.International journal of environmental research and public health · 2022
    Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Man-Pui Sally ChanDepartment of Psychology, University of Illinois at Urbana-Champaign, 603 E Daniel St, Champaign, IL 62810, United States. Electronic address: sallycmp@illinois.edu.
Kenneth WinnegThe Annenberg Public Policy Center, University of Pennsylvania, 202 S 36th St, Philadelphia, PA 19104, United States.
Lauren HawkinsThe Annenberg Public Policy Center, University of Pennsylvania, 202 S 36th St, Philadelphia, PA 19104, United States.
Mohsen FarhadlooDepartment of Psychology, University of Illinois at Urbana-Champaign, 603 E Daniel St, Champaign, IL 62810, United States; The Annenberg Public Policy Center, University of Pennsylvania, 202 S 36th St, Philadelphia, PA 19104, United States.
Kathleen Hall JamiesonThe Annenberg Public Policy Center, University of Pennsylvania, 202 S 36th St, Philadelphia, PA 19104, United States.
Dolores AlbarracínDepartment of Psychology, University of Illinois at Urbana-Champaign, 603 E Daniel St, Champaign, IL 62810, United States.

Funding

Mining Social Media Messages for HIV Testing and Prevention CommunicationR01MH114847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2018 to 2022
$2.9M
Online media and structural influences on new HIV/STI Cases in the US (2006-2020)R56AI114501 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ALBARRACIN, DOLORES · 2015 to 2015
$656k
NIAID NIH HHS R56 AI114501NIMH NIH HHS R01 MH114847
6 · The paper itself

Abstract

objectiveBoth legacy media, such as television and newspapers, and online social media are potentially important but incompletely understood sources of information in the face of emerging public health risks. This research aimed to understand media effects on risk perceptions and behaviors concerning the Zika virus in the United States.

methodsWe analyzed a multi-wave nationally representative survey (N = 29,062) and the volume of communications in social and legacy media (i.e., legacy media data from news sources and databases, N = 2,660 and social media data from Twitter, N = 1,605,752) in the United States between April and October 2016, dates coinciding with the early cases of local transmission of Zika in the United States (i.e., 25 weeks). The present study conducted econometric analyses (i.e., Granger causality tests) to assess the associations of legacy and social media coverage with risk perceptions and protective behaviors in the total sample and specific groups separated by pregnancy status/intent, geographic region, income, education level, age, and ethnicity.

resultsThe results from the overall sample suggested that changes in the volume of information in legacy and social media (i.e., Twitter) were followed by different changes in community risk perceptions and protective behaviors. Specifically, social media coverage correlated with the level of risk perceptions, whereas the legacy media coverage correlated with the level of protective behaviors. Analyses across different subpopulations, including those of different pregnancy status/intent, geographic Zika risk, income, education level, age, and ethnicity, replicated the social media associations with risk perceptions in most cases. However, legacy media and protective behaviors were linked only in some vulnerable subpopulations (e.g., the less-educated populations).

conclusionUnderstanding how media coverage relates to Zika risk perceptions and protective behaviors will help to facilitate effective risk communications by healthcare professionals and providers, particularly when a health risk emerges.

Indexed as

CommunicationHealth Knowledge, Attitudes, PracticeMass MediaSocial MediaAdolescentAdultAgedCommunicable Diseases, EmergingFemaleHumansMaleMiddle AgedPregnancyRisk AssessmentSurveys and QuestionnairesUnited StatesCommunicationLegacy mediaProtective behaviorsRisk perceptionsSocial mediaUSAZika

Identifiers

PMID30005224
PMCPMC6093206

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.