Toward new forms of meal sharing? Collective habits and personal diets

Masson, Estelle; Bubendorff, Sandrine; Fraïssé, Christèle

doi:10.1016/j.appet.2017.12.006

Cited by 24 publications

(11 citation statements)

References 12 publications

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“…By analyzing text information from online forums, Blackburn, Yilmaz, and Boyd () and Masson et al. () researched how individuals communicate about food on the Internet. More advanced text analysis, such as sentiment analysis, is often needed for a deeper understanding of customer preferences toward which food to eat or which restaurant to dine.…”

Section: Application Of Text Data In Food‐related Studiesmentioning

confidence: 99%

“…Using content analysis, Ariyasriwatana and Quiroga (2016) classified "deliciousness" phrases from Yelp restaurant reviews, a popular social network that helps individuals make food decisions. By analyzing text information from online forums, Blackburn, Yilmaz, and Boyd (2018) and Masson et al (2018) researched how individuals communicate about food on the Internet. More advanced text analysis, such as sentiment analysis, is often needed for a deeper understanding of customer preferences toward which food to eat or which restaurant to dine.…”

Section: Consumer Opinion Miningmentioning

confidence: 99%

“…Digital platforms such as social media provide new possibilities for people to share their food consumption habits with others. Nowadays, it is not uncommon to see people in restaurants taking photographs of attractive dishes and immediately sending them on social media to share with others (Masson, Bubendorff, & Fraïssé, 2018). Scientists in many areas have become interested in identifying human food choices and consumption behaviors (Mouritsen, Edwards-Stuart, Ahn, & Ahnert, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Utilization of text mining as a big data analysis tool for food science and nutrition

Tao

Yang

Feng

2020

Comp Rev Food Sci Food Safe

154

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Big data analysis has found applications in many industries due to its ability to turn huge amounts of data into insights for informed business and operational decisions. Advanced data mining techniques have been applied in many sectors of supply chains in the food industry. However, the previous work has mainly focused on the analysis of instrument‐generated data such as those from hyperspectral imaging, spectroscopy, and biometric receptors. The importance of digital text data in the food and nutrition has only recently gained attention due to advancements in big data analytics. The purpose of this review is to provide an overview of the data sources, computational methods, and applications of text data in the food industry. Text mining techniques such as word‐level analysis (e.g., frequency analysis), word association analysis (e.g., network analysis), and advanced techniques (e.g., text classification, text clustering, topic modeling, information retrieval, and sentiment analysis) will be discussed. Applications of text data analysis will be illustrated with respect to food safety and food fraud surveillance, dietary pattern characterization, consumer‐opinion mining, new‐product development, food knowledge discovery, food supply‐chain management, and online food services. The goal is to provide insights for intelligent decision‐making to improve food production, food safety, and human nutrition.

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Section: Application Of Text Data In Food‐related Studiesmentioning

confidence: 99%

Section: Consumer Opinion Miningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Utilization of text mining as a big data analysis tool for food science and nutrition

Tao

Yang

Feng

2020

Comp Rev Food Sci Food Safe

154

View full text Add to dashboard Cite

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“…Interpersonal sharing of food is a fundamental feature of social life, both as a 'mechanism through which sustenance is secured and as a means to cement social relations' (Davies et al, 2017: 136). Food sharing, or commensality, involves the creation and reinforcement of social relations; fabricating and consolidating social connections (Giacoman, 2016;Masson et al, 2018), and it can also be considered as a means of undertaking research alongside eaters.…”

Section: Meal-centred Interviewsmentioning

confidence: 99%

A community-based participatory research approach to understanding social eating for food well-being

2021

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‘Social eating initiatives’ are a specific type of community-based food service that provides opportunities for people to eat together in local spaces using surplus food. These initiatives provide a meal that is fresh, affordable and more environmentally friendly than fast or convenience foods. In this research, we build upon the food well-being model to explore how food consumption is experienced in these community settings and the role of social eating projects in shaping the different dimensions of people’s foodscapes. We adopted a community-based participatory approach and engaged in a series of dialogues with staff volunteers and coordinators at four ‘social eating initiatives’. We also conducted 45 interviews with service users and volunteers at three sites in the Midlands region. The role of community-based food initiatives responding to hunger by utilising surplus food to feed local populations is often conceptualised critically. The conjoining of food insecurity and surplus food appears to instrumentally feed customers and reduce food wastage, but in ways that are stigmatising, and which position customers as passive recipients of food charity. However, closer attention to the experiences of staff, volunteers and customers at these spaces, reveals them as sites where knowledge and experience of food is being developed with this contributing to a sense of well-being beyond nutrition. Shared food practices and eating together contribute to social capital and are important dimensions of food well-being that are significantly restricted by food insecurity. The ‘food well-being’ model envisages a shift in focus from health, defined as the absence of illness, towards well-being as a positive relationship with food at the individual and societal level. In the concluding remarks of this article, it is suggested that this holistic conception is required to understand the role and function of social eating initiatives.

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“…Sociability was a key theme drawn out from our findings, one that has been long researched as an important aspect of foodways. Eating is undoubtedly one of the most fundamental, socialised, imaginative and collectively invested biological functions (Masson et al, 2018). Our eating behaviours are strongly influenced by social context (Higgs and Thomas, 2016).…”

Section: Food As a Conversation Starter -Social Connectionsmentioning

confidence: 99%

Participatory food events as collaborative public engagement opportunities

Pettinger

Parsons

Letherby

et al. 2019

Methodological Innovations

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There is an urgent need to ‘get creative’ with the way we tackle social and nutritional inequalities. The Food as a Lifestyle Motivator (FLM) project has explored the use of creative participatory approaches to engage ‘harder to reach’ communities in dialogues to improve their well-being and life skills. Preliminary findings have confirmed that food can be a powerful catalyst for social inclusion with the potential to empower ‘marginalised’ individuals. Part of this exploratory study has involved two participatory food events (November 2015 and November 2016) run in a local day centre for drug and alcohol rehabilitation. The aim of these events was to bring together key stakeholders (from the service user and provider communities) to exchange food-based knowledge, using collaborative and co-creative participatory approaches. Following ethical clearance, a range of data were collected at the events to assess their ‘social impact’. These consisted of (1) audio interviews (service providers and users), (2) oral surveys (service users and key workers) and (3) observations of social cooking and eating engagement, and creative visual arts (photography, collage, food games and quizzes). In this article, we detail how the range of creative approaches used has successfully engaged individuals (average attendance: n = 80, service users: n = 32) to participate in these food-themed events. We reflect on the overarching themes from data capture of the social and therapeutic aspects of food (activities). We also reflect on the collation (and curation) of findings, systematically critiquing the approaches used, including consideration of ethics, and drivers for engagement. Finally, we consider how the utility of such creative approaches can optimise public engagement activities, not only to enhance research impact but also to inform collaborative developments with and between service users, service providers and other stakeholders, with the potential to lead to transformative food-related changes.

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Toward new forms of meal sharing? Collective habits and personal diets

Cited by 24 publications

References 12 publications

Utilization of text mining as a big data analysis tool for food science and nutrition

Utilization of text mining as a big data analysis tool for food science and nutrition

A community-based participatory research approach to understanding social eating for food well-being

Participatory food events as collaborative public engagement opportunities

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