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University of Illinois at Urbana-Champaign

Understanding consumer engagement with vertical farming brands on Twitter: An approach of guided Latent Dirichlet Allocation for topic modeling

Abstract

dc:description

Vertical farming (VF) has emerged as a promising alternative to traditional farming practices in recent years. Despite its superiority in various aspects, it has been facing challenges in gaining enough consumer attention and acceptance. The present study first explores VF brand content strategies on social media, specifically on Twitter. The study attempts to identify diverse topics contained in VF brand tweets and classify these topics using a content typology that combines previous categorization frameworks with a data-driven approach. The study further examines how consumers engage with different types of VF brand content, manifested through the volume of “likes”, retweets, and replies. The guided Latent Dirichlet Allocation (LDA) was conducted to infer topics and themes underlying captured tweets from 12 popular VF brands. Negative binomial regression was also employed to predict consumer engagement with various brand content. The results indicate that VF brands primarily shared educational content, functional content, and relational content on Twitter while giving comparatively less prominence to remunerative content and corporate social responsibility (CSR) content. Nevertheless, it was observed that compared to tweets highlighting educational content, consumers are significantly less likely to engage with those highlighting functional content in terms of “likes”, retweets, and replies, while they are significantly more likely to engage with those focusing on CSR content in terms of all three metrics. Additionally, remunerative content and relational content were both significantly more likely to be “liked” and retweeted relative to educational content. These findings are expected to contribute to a theoretical understanding of how consumers engage with various social media content from novel food startups, as well as offer valuable insights for VF practitioners regarding the promotion of consumer acceptance toward the VF concept.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Advertising
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shao, Junqi
Contributors dc:contributor
  • Su, Leona Yi-Fan

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • Copyright 2023 Junqi Shao
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/121499

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Shao, Junqi. Understanding consumer engagement with vertical farming brands on Twitter: An approach of guided Latent Dirichlet Allocation for topic modeling. Thesis thesis, University of Illinois at Urbana-Champaign, 2023. https://hdl.handle.net/2142/121499