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'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
Published on: September 18, 2018
Exploring food poverty experiences in the German Twitter-Sphere
Tina Bartelmeß1, Mirco Schönfeld2, Jürgen Pfeffer3
1Faculty 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.
Individuals experiencing food poverty in Germany discuss both material hardships and social exclusion online. This research highlights the interconnectedness of these dimensions, informing targeted support strategies.
Area of Science:
- Social Sciences
- Computational Social Science
- Public Health
Background:
- Investigates subjective perceptions of food poverty in Germany.
- Analyzes Twitter discourse using the #IchBinArmutsbetroffen hashtag.
- Examines dimensions of a multidimensional theoretical model of food poverty.
Purpose of the Study:
- To analyze subjective perceptions of food poverty in Germany.
- To explore the representation of food poverty dimensions in Twitter discourse.
- To understand the interplay among different subdimensions of food poverty.
Main Methods:
- Combines computational social science and qualitative social research.
- Identifies and analyzes nutrition-related tweets via hierarchical dictionary search.
- Applies qualitative content analysis to examine individual narratives.
Main Results:
- Analysis of 1,112 tweets shows a balanced focus on material (57.96%) and social (42.04%) dimensions of food poverty.
- Material dimension tweets highlight economic challenges and resource scarcity.
- Social dimension tweets reveal social isolation, exclusion, and network loss.
Conclusions:
- Presents a novel methodological approach for social media data extraction.
- Provides empirical insights into multifaceted perceptions of food poverty in Germany.
- Informs the development of targeted social, health, and political interventions.
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