Evidence map›Paper›PMID 38796420›Full record

ArticleBMC public health2024

Exploring food poverty experiences in the German Twitter-Sphere.

Tina Bartelmeß, Mirco Schönfeld, Jürgen Pfeffer

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Tina BartelmeßFaculty of Life Sciences: Food, Nutrition and Health, Professorship of Food Sociology, University of Bayreuth, Fritz-Hornschuch-Strasse 13, Kulmbach, Germany. tina.bartelmess@uni-bayreuth.de.
Mirco SchönfeldFaculty of Languages and Literature, Professorship of Data Modelling and Interdisciplinary Knowledge Generation, University of Bayreuth, Nürnberger Straße 38, Bayreuth, Germany.
Jürgen PfefferMunich School of Politics and Public Policy, Professorship of Computational Social Science and Big Data, Technical University of Munich, Arcisstraße 21, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigates the subjective perceptions of food poverty in Germany by analysing Twitter discourse using the German-language hashtag #IchBinArmutsbetroffen (#IamPovertyAffected) and examines the extent to which various dimensions of a multidimensional theoretical model of food poverty are represented in the discourse.

methodsEmploying a combination of computational social science and qualitative social research methods, the research identifies, and analyses tweets related to nutrition by applying a hierarchical dictionary search and qualitative content analysis. By examining the narratives and statements of individuals affected by food poverty, the study also investigates the interplay among different subdimensions of this phenomenon.

resultsThe analysis of 1,112 tweets revealed that 57.96% focused on the material dimension and 42.04% on the social dimension of food poverty, suggesting a relatively balanced emphasis on material and social aspects of food poverty in the narratives of those affected. The findings reveal that tweets on material food poverty underscore economic challenges and resource scarcity for food. Social food poverty tweets demonstrate widespread deprivation in social participation, leading to isolation, exclusion, and social network loss. Overall, the results elucidate intricate interconnections among subdimensions and multidimensional manifestations of food poverty.

conclusionsThis study contributes methodologically by presenting an approach for extracting food-related textual social media data and empirically by providing novel insights into the perceptions and multifaceted manifestations of food poverty in Germany. The results can aid in a better understanding of the phenomenon of food poverty as it currently manifests in Germany, and in developing targeted social, health-promoting, and political measures that address more effectively the empirically evident multidimensionality of the phenomenon.

Indexed as

PovertySocial MediaFood SupplyGermanyHumansQualitative ResearchFood insecurityFood povertyGermanyHashtagMultidimensional deprivationTwitter

Identifiers

PMID38796420
PMCPMC11127365

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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.