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Open AccessJournal ArticleDOI

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

TLDR
In this article, the authors performed a communication analysis of data from the social network Twitter, which included 666,178 messages posted by 168,134 individual users between 2019 and 2020 on Twitter and found that users most commonly associate healthy food with a healthy lifestyle, diet, and fitness.
Abstract
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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Citations
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Journal ArticleDOI

Healthy Food on Instagram Social Network: Vegan, Homemade and Clean Eating.

TL;DR: In this article, the main topic associated with healthy food on the Instagram social network via hashtag and community analysis based on 2.045,653 messages created by 427,936 individual users.
Journal ArticleDOI

Framework for Social Media Analysis Based on Hashtag Research

TL;DR: The results show that social media analysis based on hashtags provides information applicable to theoretical research and practical strategic marketing and management applications.
Journal ArticleDOI

Exploring Consumer Perceptions of the Value Proposition Embedded in Vegan Food Products Using Text Analytics

TL;DR: In this paper , the authors analyzed over 120,000 tweets relating to veganism from Twitter, which were then analyzed using the text analytics tool Leximancer to ascertain the predominant themes of conversation taking place around vegan food.
Journal ArticleDOI

Customer Preferences for Organic Agriculture Produce in the Czech Republic: 2016 and 2019

TL;DR: In this paper, the authors analyzed the customer attitude towards the qualities and benefits of organic agriculture production for farmers and customers in the Czech Republic, comparing the situation in 2016 and 2019.
Journal ArticleDOI

Cultured Meat on the Social Network Twitter: Clean, Future and Sustainable Meats

TL;DR: This study aimed to identify the key characteristics of cultured meat based on communication analysis of the social network Twitter that identified clean meat, future meat, and sustainable meat as the main communicated characteristics.
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