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What we tweet about when we tweet about taxes: A topic modelling approach
Puklavec,Žiga Kogler,Christoph Stavrova,Olga Zeelenberg,Marcel
Puklavec,Žiga
Kogler,Christoph
Stavrova,Olga
Zeelenberg,Marcel
Abstract
Recent literature on taxation suggests that a “service and client” approach by the authorities is required in order to establish a synergistic tax climate between taxpayers and tax offices and thus enhance voluntary tax compliance. The present study investigates whether lay people's conceptions about taxation reflect such a synergistic (vs. an antagonistic) climate. Applying an unsupervised machine learning approach (i.e., topic modeling) to over a million tax related tweets from 2010 to 2020, we identified 30 topics with different content. Using the theoretical framework differentiating between synergistic and antagonistic tax climate, we were able to further categorize these topics into four broader groups: 1. Opinions about Tax Politics, 2. Enforcement (antagonistic climate), 3. Information & Service (synergistic climate), and 4. Emotions. The most frequently observed group was Information & Service (synergistic climate), which also steadily gained prominence during the past decade. We proceeded by analyzing the information diffusion properties and sentiment of the tweets associated with the four groups. Information & Service tweets had the most positive sentiment but were shared the least, while tweets regarding Opinions about Tax Politics were shared most often. In sum, the results suggest that lay people's conceptions about taxation – as discerned from conversations on social media (Twitter) – largely reflect a synergistic (vs. an antagonistic) climate, and contribute to the literature on tax climate and social media.
Description
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Date
2023
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Research Projects
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Keywords
Taxation, Topic Modelling, machine learning, Social Media, information diffusion, Sentiment analysis
Citation
Puklavec, Ž, Kogler, C, Stavrova, O & Zeelenberg, M 2023, 'What we tweet about when we tweet about taxes : A topic modelling approach', Journal of Economic Behavior & Organization, vol. 212, pp. 1242-1254. https://doi.org/10.1016/j.jebo.2023.07.005
License
info:eu-repo/semantics/openAccess