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All that glitters is not gold

A study of tourists' visit intention by watching deepfake destination videos

Bibliographic Data

ID19554192
AuthorsBrijesh Sivathanu (0000-0003-2505-9140, Central Penn College), Rupa Pillai (0000-0001-6160-3911, Central Penn College, corresponding author), Rajasshrie Pillai, Mahek Mahtta (0000-0002-9890-6198, Central Penn College), Angappa Gunasekaran (0000-0002-6335-1962, Central Penn College)
Year2024
Volume10
Issue2
Pages218-236
Publication date2024-06-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Tourism Futures (JOURNAL)
Journal identifiersISSN: 2055-5911 • E-ISSN: 2055-592X
PublisherEmerald (PUBLISHER)
DOI10.1108/jtf-03-2022-0102
OpenAlexW4386016545
LanguageEN
Citations received4
References cited57

Purpose This study aims to examine the tourists' visit intention by watching deepfake destination videos, using Information Manipulation and Media Richness Theory. Design/methodology/approach This study conducted a primary survey utilizing a structured questionnaire. In total, 1,360 tourists were surveyed, and quantitative data analysis was done using PLS-SEM. Findings The results indicate that the factors that affect the tourists' visit intention after watching deepfake videos include information manipulation tactics, trust and media richness. This study also found that perceived deception and cognitive load do not influence the tourists' visit intention. Originality/value The originality/salience of this study lies in the fact that this is possibly among the first to combine the Media Richness Theory and Information Manipulation for understanding tourists' visit intention and post-viewing deepfake destination videos

Advertising · Business · Cognitive psychology · Deception · Geography · Originality · Species richness · Tourism · Trustworthiness · Computer Science · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Media Influence and Health · Psychology · Social Psychology · Ecology

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Unique citing works4
Citations per year4
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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