2023
DOI: 10.3390/su151813788
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Exploring Food Waste Conversations on Social Media: A Sentiment, Emotion, and Topic Analysis of Twitter Data

Eva L. Jenkins,
Dickson Lukose,
Linda Brennan
et al.

Abstract: Food waste is a complex issue requiring novel approaches to understand and identify areas that could be leveraged for food waste reduction. Data science techniques such as sentiment analysis, emotion analysis, and topic modelling could be used to explore big-picture themes of food waste discussions. This paper aimed to examine food waste discussions on Twitter and identify priority areas for future food waste communication campaigns and interventions. Australian tweets containing food-waste-related search term… Show more

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Cited by 2 publications
(2 citation statements)
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“…As the world grapples with the pressing challenges of food insecurity, environmental sustainability, and resource conservation, an in-depth examination of individual behaviors becomes imperative [8,9]. Among the various factors influencing global food security, the issue of food wastage stands out as a critical concern [10]. To create sustainable food systems, households must be encouraged to reduce food waste [11].…”
Section: Introductionmentioning
confidence: 99%
“…As the world grapples with the pressing challenges of food insecurity, environmental sustainability, and resource conservation, an in-depth examination of individual behaviors becomes imperative [8,9]. Among the various factors influencing global food security, the issue of food wastage stands out as a critical concern [10]. To create sustainable food systems, households must be encouraged to reduce food waste [11].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the study of Russell et al [32] brings into question the influence of emotions and habits in food waste conduct, highlighting the importance of addressing individuals' feelings with relation to food. Other authors explored social media posts related to food waste to identify priorities for campaigns [33].…”
Section: Introductionmentioning
confidence: 99%