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Tourism and hospitality management, Vol. 31 No. 1, 2025.

Original scientific paper

https://doi.org/10.20867/thm.31.1.12

A Twitter interaction analysis of titan submersible implosion

Vishal Mehra ; prabh_singh32@yahoo.com
Prabhsimran Singh ; Assistant Professor Department of Computer Engineering and Technology Guru Nanak Dev University, Amritsar, Punjab, India,143005
Wann-Yih Wu ; Emeritus Professor Department of Business Administration Nanhua University No 55, Section 1, Nanhua Road, Dalin Township, Chayi County Taiwan, 62249
V.G. Girish orcid id orcid.org/0000-0001-5463-3194 ; Full Professor, Department of Business Administration The Catholic University of Korea 43 Jibong-ro, Bucheon-si, Republic of Korea,14662 *

* Corresponding author.

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Abstract

Purpose – This research aims to analyse the impact of extreme cultural tourism based on
individuals’ sentiments, recorded via social media platform (i.e. Twitter presently known
as X). This study explores the thoughts and emotions of twitter users recorded after the
Titan Submersible implosion.
Methodology/Design/Approach – On this front, 6159 tweets (from June 19, 2023, to July 30,
2023) were retrieved and analysed. We employed polarity analysis, emotion analysis, word
cloud analysis and topic modeling.
Findings – Polarity analysis reveals that the inclination of discussion about the Titan
Submersible implosion was predominantly negative. Emotion analysis also shows that most
of the tweets reflect negative emotions and the users’ emotions fluctuate daily. In the word
cloud analysis, the word “missing” appeared in vast majority of the tweets. Topic modeling
reveals the topics that are optimum for this research.
Originality of the research – This study highlights that social media users are sensitive to
manmade disasters particularly associated with extreme cultural tourism. The findings alert the
stakeholders not to compromise on the safety measures and draw the attention of government
authorities to strictly enforce the safety norms to permit extreme cultural tourism in the future.

Keywords

Social media analytics; Titan Submersible; Sentiment analysis; Titanic; Shipwreck

Hrčak ID:

328366

URI

https://hrcak.srce.hr/328366

Publication date:

25.2.2025.

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