Evidence map›Paper›PMID 38861266›Full record

ArticleJournal of medical Internet research2024

Assessing Message Deployment During Public Health Emergencies Through Social Media: Empirical Test of Optimizing Content for Effective Dissemination.

Paola Pascual-Ferrá, Neil Alperstein, Julia Burleson, Amelia M Jamison, Ananya Bhaktaram, Sidharth Rath, Rohini Ganjoo, Satyanarayan Mohanty, Daniel J Barnett, Rajiv N Rimal

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

10 authors.

Paola Pascual-FerráLoyola University Maryland, Baltimore, MD, United States.ORCID 0000-0001-8511-6798
Neil AlpersteinLoyola University Maryland, Baltimore, MD, United States.ORCID 0000-0003-3906-3474
Julia BurlesonHealth, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0001-7494-7254
Amelia M JamisonHealth, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-3954-9581
Ananya BhaktaramHealth, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0001-6598-7078
Sidharth RathSwasthya Plus Network, Bhubaneswar, OD, India.ORCID 0000-0002-9097-6909
Rohini GanjooBiomedical Laboratory Sciences, George Washington University, Washington, DC, United States.ORCID 0000-0001-7185-7747
Satyanarayan MohantyD-COR Consulting Pvt Ltd, Bhubaneswar, OD, India.ORCID 0000-0002-8684-5500
Daniel J BarnettEnvironmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0003-1382-6197
Rajiv N RimalHealth, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0003-1413-9305

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring an infodemic, timely, reliable, and accessible information is crucial to combat the proliferation of health misinformation. While message testing can provide vital information to make data-informed decisions, traditional methods tend to be time- and resource-intensive. Recognizing this need, we developed the rapid message testing at scale (RMTS) approach to allow communicators to repurpose existing social media advertising tools and understand the full spectrum of audience engagement.

objectiveWe had two main objectives: (1) to demonstrate the use of the RMTS approach for message testing, especially when resources and time are limited, and (2) to propose and test the efficacy of an outcome variable that measures engagement along a continuum of viewing experience.

methodsWe developed 12 versions of a single video created for a vaccine confidence project in India. We manipulated video length, aspect ratio, and use of subtitles. The videos were tested across 4 demographic groups (women or men, younger or older). We assessed user engagement along a continuum of viewing experience: obtaining attention, sustaining attention, conveying the message, and inspiring action. These were measured by the percentage of video watched and clicks on the call-to-action link.

resultsThe video advertisements were placed on Facebook for over 4 consecutive days at the cost of US $450 and garnered a total of 3.34 million impressions. Overall, we found that the best-performing video was the shorter version in portrait aspect ratio and without subtitles. There was a significant but small association between the length of the video and users' level of engagement at key points along the continuum of viewing experience (N=1,032,888; χ

conclusionsThis test served as a proof of concept for the RMTS approach. We obtained rapid feedback on formal message attributes from a very large sample. The results of this test reinforce the need for platform-specific tailoring of communications. While our data showed a general preference for a short video in portrait orientation and without subtitles among our target audiences on Facebook, that may not necessarily be the case in other social media platforms such as YouTube or TikTok, where users go primarily to watch videos. RMTS testing highlights nuances that communication professionals can address instead of being limited to a "one size fits all" approach.

Indexed as

Public HealthSocial MediaAdolescentAdultAdvertisingEmergenciesFemaleHumansIndiaInformation DisseminationMaleMiddle AgedVideo RecordingYoung AdultadvertisingaudiencecommunicationengagementFacebookinfodemicinfodemiologymessage testingMetamethodologymobile phonerapid message testing at scalesocial mediasocial media advertising tooluser engagementvaccine communicationweb-based communication

Identifiers

PMID38861266
PMCPMC11316149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.