ArticleApplied economic perspectives and policy2022
Food insufficiency and Twitter emotions during a pandemic.
Article in Applied economic perspectives and policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Economic shocks, food insufficiency and mental health: Evidence from the COVID-19 pandemic.PloS one · 2026Article
- Exploring Consumer Perception of Food Insecurity Using Big Data.Foods (Basel, Switzerland) · 2025Article
- Characterizing climate change sentiments in Alaska on social media.Digital geography and society · 2025Article
- Estimating affective polarization on a social network.PloS one · 2025Article
- Exploring food poverty experiences in the German Twitter-Sphere.BMC public health · 2024Article
- A Novel Approach for the Early Detection of Medical Resource Demand Surges During Health Care Emergencies: Infodemiology Study of Tweets.JMIR formative research · 2024Article
- Food insufficiency and Twitter emotions during a pandemic.Applied economic perspectives and policy · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic initially caused worldwide concerns about food insecurity. Tweets analyzed in real-time may help food assistance providers target food supplies to where they are most urgently needed. In this exploratory study, we use natural language processing to extract sentiments and emotions expressed in food security-related tweets early in the pandemic in U.S. states. The emotion
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Registered trials
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.