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The donation of unharvested or unsold crops to rescue organizations has been promoted as a strategy to improve healthy food access for food insecure households while reducing production-level food loss and waste (FLW). In this study, we aimed to assess the motivations, barriers, and facilitators for crop donation as a FLW reduction strategy among Maryland farmers. We interviewed 18 Maryland-based food producers (nine frequent crop donors and nine infrequent, by self-report) in 2016 – 2017, soliciting their perspectives on crop donation motivators, process feasibility, and interventions aimed at increasing crop donation. The interviews were thematically coded. All respondents were aware of crop donation as an option, and most expressed interest in reducing FLW by diverting crop surpluses for human consumption. While financial barriers represented one aspect influencing donation decisions, respondents also cited convenience, process knowledge, and liability as key considerations. In contrast to frequent donors, many of whom considered donation a moral imperative, some infrequent donors questioned the expectation that they would donate crops without compensation. Both frequent and infrequent donors were aware of pro-donation tax incentives, and infrequent donors reported being unlikely to use them. This research demonstrates that crop donation motivations, barriers, and facilitators can be diverse. Given the existence of crop surpluses and their potential benefits as emergency food, our results suggest that multiple interventions and policies may contribute to incentivizing and facilitating crop donation (or enabling the purchase of surplus crops) rather than one-size-fits-all approaches. Our findings also highlight a need to prioritize crop recovery methods that enhance growers’ financial stability.
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Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization
In contrast to traditional online videos, live multi-streaming supports real-time social interactions between multiple streamers and viewers, such as donations. However, donation and multi-streaming channel recommendations are challenging due to complicated streamer and viewer relations, asymmetric communications, and the tradeoff between personal interests and group interactions. In this paper, we introduce Multi-Stream Party (MSP) and formulate a new multi-streaming recommendation problem, called Donation and MSP Recommendation (DAMRec). We propose Multi-stream Party Recommender System (MARS) to extract latent features via socio-temporal coupled donation-response tensor factorization for donation and MSP recommendations. Experimental results on Twitch and Douyu manifest that MARS significantly outperforms existing recommenders by at least 38.8% in terms of hit ratio and mean average precision.
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- Award ID(s):
- 1717084
- PAR ID:
- 10303739
- Date Published:
- Journal Name:
- Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM ’20)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3340531.3411925
