2026-09-19T04:56:16Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/121499 2023-12-13 col_2142_5131 col_2142_49999 com_2142_5130 com_2142_49998 com_2142_16323

Su, Leona Yi-Fan 2023-08 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms The student, Junqi Shao, accepted the attached license on 2023-07-11 at 11:13. The student, Junqi Shao, submitted this Thesis for approval on 2023-07-11 at 11:57. This Thesis was approved for publication on 2023-07-21 at 07:17. DSpace SAF Submission Ingestion Package generated from Vireo submission #19620 on 2023-12-04 at 17:01:50 Understanding consumer engagement with vertical farming brands on Twitter: An approach of guided Latent Dirichlet Allocation for topic modeling Shao, Junqi 2023-07-21 Vertical Farming Consumer Engagement Startup Communication Content Strategy Sustainability Topic Modeling 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. Text eng https://hdl.handle.net/2142/121499 Copyright 2023 Junqi Shao M.S. Thesis Advertising University of Illinois at Urbana-Champaign Advertising