Evidence map›Paper›PMID 36471705›Full record

ArticleJMIR infodemiology

COVID-19 Messaging on Social Media for American Indian and Alaska Native Communities: Thematic Analysis of Audience Reach and Web Behavior.

Rose Weeks, Sydney White, Anna-Maria Hartner, Shea Littlepage, Jennifer Wolf, Kristin Masten, Lauren Tingey

Abstract read
In one paragraph

Article in JMIR infodemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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  5. 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

7 authors.

Rose WeeksCenter for Indigenous Health Department of International Health Johns Hopkins Bloomberg School of Public Health Baltimore, MD United States.ORCID https://orcid.org/0000-0003-0171-5043
Sydney WhiteCenter for Indigenous Health Department of International Health Johns Hopkins Bloomberg School of Public Health Baltimore, MD United States.ORCID https://orcid.org/0000-0002-1798-3088
Anna-Maria HartnerCenter for Indigenous Health Department of International Health Johns Hopkins Bloomberg School of Public Health Baltimore, MD United States.ORCID https://orcid.org/0000-0002-8502-9915
Shea LittlepageCenter for Indigenous Health Department of International Health Johns Hopkins Bloomberg School of Public Health Baltimore, MD United States.ORCID https://orcid.org/0000-0002-2130-0972
Jennifer WolfProject Mosaic Denver, CO United States.ORCID https://orcid.org/0000-0003-0693-7518
Kristin MastenCenter for Indigenous Health Department of International Health Johns Hopkins Bloomberg School of Public Health Baltimore, MD United States.ORCID https://orcid.org/0000-0002-3874-5505
Lauren TingeyCenter for Indigenous Health Department of International Health Johns Hopkins Bloomberg School of Public Health Baltimore, MD United States.ORCID https://orcid.org/0000-0001-6377-5151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, tribal and health organizations used social media to rapidly disseminate public health guidance highlighting protective behaviors such as masking and vaccination to mitigate the pandemic's disproportionate burden on American Indian and Alaska Native (AI/AN) communities. Objective: Seeking to provide guidance for future communication campaigns prioritizing AI/AN audiences, this study aimed to identify Twitter post characteristics associated with higher performance, measured by audience reach (impressions) and web behavior (engagement rate). Methods: We analyzed Twitter posts published by a campaign by the Johns Hopkins Center for Indigenous Health from July 2020 to June 2021. Qualitative analysis was informed by in-depth interviews with members of a Tribal Advisory Board and thematically organized according to the Health Belief Model. A general linearized model was used to analyze associations between Twitter post themes, impressions, and engagement rates. Results: The campaign published 162 Twitter messages, which organically generated 425,834 impressions and 6016 engagements. Iterative analysis of these Twitter posts identified 10 unique themes under theory- and culture-related categories of framing knowledge, cultural messaging, normalizing mitigation strategies, and interactive opportunities, which were corroborated by interviews with Tribal Advisory Board members. Statistical analysis of Twitter impressions and engagement rate by theme demonstrated that posts featuring culturally resonant community role models ( Conclusions: Results from the 1-year Twitter campaign provide lessons to inform organizations designing social media messages to reach and engage AI/AN social media audiences. The use of interactive events, instructional graphics, and Indigenous humor are promising practices to engage community members, potentially opening audiences to receiving important and time-sensitive guidance.

Indexed as

American Indian or Alaska Nativecommunicationcommunity healthcontent analysisCOVID-19infodemiologyonline behaviorsocial mediathematic analysistribal organizationTwitter

Identifiers

PMID36471705
PMCPMC9709694

What OpenQuestion holds

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Registered trials

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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.