Food sharing, redistribution, and waste reduction via mobile applications: A social network analysis

Harvey, J.; Smith, Andrew; Goulding, James; Branco-Illodo, Ines

doi:10.1016/j.indmarman.2019.02.019

Cited by 135 publications

(123 citation statements)

References 54 publications

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“…Rebound effects are particularly relevant for people in lower income brackets, such as those experiencing food insecurity, who tend to spend any additional income on fulfilling basic family needs. Since sharing economy platforms are free of the social stigma associated with seeking help from food banks and similar charities, they have been touted as a potentially promising avenue for reducing food waste while addressing the challenge of hunger and food insecurity simultaneously 50 . Yet as our results on the demographic make-up of users highlight, food-sharing recipients tend be of lower income but higher education brackets.…”

Section: Discussionmentioning

confidence: 99%

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Social and environmental analysis of food waste abatement via the peer-to-peer sharing economy

et al. 2020

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Reducing food waste is widely recognized as critical for improving resource efficiency and meeting the nutritional demand of a growing human population. Here we explore whether the sharing economy can provide meaningful assistance to reducing food waste in a relatively low-impact and environmentally-sound way. Analyzing 170,000 postings on a popular peerto-peer food-sharing app, we find that over 19 months, 90t of food waste with an equivalent retail value of £0.7 million were collected by secondary consumers and diverted from disposal. An environmental analysis focused on Greater London reveals that these exchanges were responsible for avoiding emission of 87-156t of CO 2 eq. Our results indicate that most exchanges were among users associated with lower income yet higher levels of education. These findings, together with the high collection rates (60% on average) suggest that the sharing economy may offer powerful means for improving resource efficiency and reducing food waste.

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Section: Discussionmentioning

confidence: 99%

“…Despite growing interest in the sharing economy, and food sharing in particular 50,[52][53][54][55] , data-driven analyses of food sharing remain scarce. Here we empirically investigate the full life-cycle environmental impacts of a popular P2P food-sharing platform and examine exchanges from a socio-economic perspective.…”

Section: Discussionmentioning

confidence: 99%

Social and environmental analysis of food waste abatement via the peer-to-peer sharing economy

et al. 2020

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“…These data have a strong research potential in many areas, especially considering that understanding people’s communication on social media is essential for understanding their attitudes, experiences, behaviors, and values [ 6 , 7 ]. In the field of food, studies have already analyzed social network data in the context of farmers’ markets [ 8 ], organic food [ 9 ], undergraduate students’ food choices [ 10 ], food sharing [ 11 ], and food security [ 12 ]. At present, social networks are used by around 3.6 billion people worldwide, and it has been predicted that more than 4.41 billion people will use social networks in 2025 [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Healthy Food on the Twitter Social Network: Vegan, Homemade, and Organic Food

Pilař

Stanislavská

Kvasnička

2021

IJERPH

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Online social networks have become an everyday aspect of many people’s lives. Users spend more and more time on these platforms and, through their interactions on social media platforms, they create active and passive digital footprints. These data have a strong potential in many research areas; indeed, understanding people’s communication on social media is essential for understanding their attitudes, experiences, behaviors and values. Researchers have found that the use of social networking sites impacts eating behavior; thus, analyzing social network data is important for understanding the meaning behind expressions used in the context of healthy food. This study performed a communication analysis of data from the social network Twitter, which included 666,178 messages posted by 168,134 individual users. These data comprised all tweets that used the #healthyfood hashtag between 2019 and 2020 on Twitter. The results revealed that users most commonly associate healthy food with a healthy lifestyle, diet, and fitness. Foods associated with this hashtag were vegan, homemade, and organic. Given that people change their behavior according to other people’s behavior on social networks, these data could be used to identify current and future associations with current and future perceptions of healthy food characteristics.

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“…The advent of the digital economy and an increasingly digitally connected society has produced a spectrum of new sharing relationships. These range from food sharing [11], to crowdfunding [12], mass digital fundraising [13] and slacktivism [14,15]. Some of these activities are characterised as ‘digital philanthropy’: the process of donating various types and forms of data by companies for public good [16,17].…”

Section: Introductionmentioning

confidence: 99%

Psychology of personal data donation

Skatova

Goulding

2019

PLoS ONE

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Advances in digital technology have led to large amounts of personal data being recorded and retained by industry, constituting an invaluable asset to private organizations. The implementation of the General Data Protection Regulation in the EU, including the UK, fundamentally reshaped how data is handled across every sector. It enables the general public to access data collected about them by organisations, opening up the possibility of this data being used for research that benefits the public themselves; for example, to uncover lifestyle causes of poor health outcomes. A significant barrier for using this commercial data for academic research, however, is the lack of publicly acceptable research frameworks. Data donation—the act of an individual actively consenting to donate their personal data for research—could enable the use of commercial data for the benefit of society. However, it is not clear which motives, if any, would drive people to donate their personal data for this purpose. In this paper we present the results of a large-scale survey (N = 1,300) that studied intentions and reasons to donate personal data. We found that over half of individuals are willing to donate their personal data for research that could benefit the wider general public. We identified three distinct reasons to donate personal data: an opportunity to achieve self-benefit, social duty, and the need to understand the purpose of data donation. We developed a questionnaire to measure those three reasons and provided further evidence on the validity of the scales. Our results demonstrate that these reasons predict people’s intentions to donate personal data over and above generic altruistic motives. We show that a social duty is the strongest predictor of the intention to donate personal data, while understanding the purpose of data donation also positively predicts the intentions to donate personal data. In contrast, self-serving motives show a negative association with intentions to donate personal data. The findings presented here examine people’s reasons for data donation to help inform the ethical use of commercially collected personal data for academic research for public good.

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Food sharing, redistribution, and waste reduction via mobile applications: A social network analysis

Cited by 135 publications

References 54 publications

Social and environmental analysis of food waste abatement via the peer-to-peer sharing economy

Social and environmental analysis of food waste abatement via the peer-to-peer sharing economy

Healthy Food on the Twitter Social Network: Vegan, Homemade, and Organic Food

Psychology of personal data donation

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