Tracing multisensory food experiences on Twitter

Author:

Kāle Maija1ORCID,Šķilters Jurģis1ORCID,Rikters Matīss2ORCID

Affiliation:

1. 0000000107753222University of Latvia

2. 000000012151536XThe University of Tokyo

Abstract

How a food, or a dish, is named and how its components and attributes are described can all influence the perception and the enjoyment of the food. Therefore, tracing patterns in food descriptions and determining their role can be of value. The aims of this study were the following: (1) to describe the multisensory food experience as represented in microblog entries concerning food and drink on Twitter, (2) to provide an overview of the changes in the above-mentioned food representations during the period 2011‐20, and (3) to contribute to a broader understanding of the human‐food relationship as reflected on social media ‐ in this case Twitter ‐ and outline its potential utility for the research field of gastrophysics. The combinations of various multisensory attributes co-occurring in a tweet (which we term ‘collocations’) found in the Twitter corpus were examined through the categories of texture, colour, taste, smell/odour, shape and sound. We mapped the collocations of the 20‐25 most frequently mentioned food items and their multisensory experience pairings over time. Such time-based knowledge led to a better understanding of the multisensory experience triggers as reflected on Twitter. By analysing the multisensory experience’s frequency of occurrence, we could conclude that the category of colour is the dominant one, while textural, olfactory and auditory collocations with food are rare. In most of the cases, food tweets appear to render a food experience ‘tasty’, ‘good’ and ‘interesting’.

Publisher

Intellect

Subject

Visual Arts and Performing Arts,Food Science

Reference40 articles.

1. Limitations in odour simulation may originate from different sensory embodiment;Philosophical Transactions of the Royal Society B: Biological Sciences,2020

2. Demographics, weather and online reviews: A study of restaurant recommendations by WWW 2014,2014

3. It’s raining complaints! How weather factors drive consumer comments and word-of-mouth;Journal of Hospitality & Tourism Research,2019

4. Semantics derived automatically from language corpora contain human-like biases;Science,2017

5. Over the ten years availability of Internet at households has risen by 30%,2020

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. "See, Hear, Touch, Smell, and,...Eat!": Helping Children Self-Improve Their Food Literacy and Eating Behavior through a Tangible Multi-Sensory Puzzle Game;Proceedings of the 23rd Annual ACM Interaction Design and Children Conference;2024-06-17

2. Social media and food consumer behavior: A systematic review;Trends in Food Science & Technology;2024-01

3. DIGITAL MARKETING MODEL OF INDOMIE ICE CREAM’S VIRAL MARKETING;SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, dan Pendidikan;2023-04-30

4. A critical review of social media research in sensory-consumer science;Food Research International;2023-03

5. Gastrophysics: Current approaches and future directions;International Journal of Food Design;2021-10-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3