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COVID-19 and tourism: extracting public attitudes

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  • Mahdi Hajiabadi
  • Hamed Vahdat-Nejad
  • Hamideh Hajiabadi

Abstract

Taking advantage of the users’ posts on Twitter, we investigate the impact of COVID-19 on tourism in the early months of the epidemic. For this purpose, more than two million tweets published in the first months of the outbreak are analyzed. A comprehensive lexicon of keywords in the field of tourism, as well as international airlines, is collected and used for extracting tourism-related tweets. Employing a new model based on the RoBERTa language, we extract the sentiments of tweets for different countries. The results show differences in users’ positive or negative views in different countries. While in some countries, such as Germany, the public view is positive, the public view is negative in other countries, such as Russia.

Suggested Citation

  • Mahdi Hajiabadi & Hamed Vahdat-Nejad & Hamideh Hajiabadi, 2023. "COVID-19 and tourism: extracting public attitudes," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(4), pages 547-553, February.
    • Handle: RePEc:taf:rcitxx:v:26:y:2023:i:4:p:547-553
    DOI: 10.1080/13683500.2022.2095507
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    Cited by:

    1. Lian, Ying & Tang, Huiting & Xiang, Mengting & Dong, Xuefan, 2024. "Public attitudes and sentiments toward ChatGPT in China: A text mining analysis based on social media," Technology in Society, Elsevier, vol. 76(C).

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