Evidence map›Paper›PMID 33946659›Full record

ArticleHealthcare (Basel, Switzerland)2021

Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.

Amir Karami, Alicia A Dahl, George Shaw, Sruthi Puthan Valappil, Gabrielle Turner-McGrievy, Hadi Kharrazi, Parisa Bozorgi

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Amir KaramiSchool of Information Science, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0003-1936-7497
Alicia A DahlDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
George ShawDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA.ORCID 0000-0001-5508-3139
Sruthi Puthan ValappilComputer Science and Engineering Department, University of South Carolina, Columbia, SC 29208, USA.
Gabrielle Turner-McGrievyArnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.ORCID 0000-0002-1683-5729
Hadi KharraziBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0003-1481-4323
Parisa BozorgiArnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA.

Funding

Office of the Vice President for Research, University of South Carolina 00000000
6 · The paper itself

Abstract

The relationship between political affiliations and diet-related discussions on social media has not been studied on a population level. This study used a cost- and -time effective framework to leverage, aggregate, and analyze data from social media. This paper enhances our understanding of diet-related discussions with respect to political orientations in U.S. states. This mixed methods study used computational methods to collect tweets containing "diet" or "#diet" shared in a year, identified tweets posted by U.S. Twitter users, disclosed topics of tweets, and compared democratic, republican, and swing states based on the weight of topics. A qualitative method was employed to code topics. We found 32 unique topics extracted from more than 800,000 tweets, including a wide range of themes, such as diet types and chronic conditions. Based on the comparative analysis of the topic weights, our results revealed a significant difference between democratic, republican, and swing states. The largest difference was detected between swing and democratic states, and the smallest difference was identified between swing and republican states. Our study provides initial insight on the association of potential political leanings with health (e.g., dietary behaviors). Our results show diet discussions differ depending on the political orientation of the state in which Twitter users reside. Understanding the correlation of dietary preferences based on political orientation can help develop targeted and effective health promotion, communication, and policymaking strategies.

Indexed as

diethealthpoliticssocial mediatext mining

Identifiers

PMID33946659
PMCPMC8145395

What OpenQuestion holds

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LicenceCC BY
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.