Video game–induced tourism: a new frontier for destination marketers
Bibliographic record
Abstract
Purpose This paper aims to expand the media-related tourism literature in a new domain of application by highlighting a connection between the world of video games and tourism. Design/methodology/approach Through deductive content analysis, this study looks at 137 online comments posted on popular gaming and travel websites that connect two popular video games (Assassin’s Creed II and Assassin’s Creed Unity) and travel motivation. Findings Results establish that video games share similar travel motivation elements with film and should be considered as a driver of tourism. It argues that destinations should consider video games as a platform for motivating tourists before they consider investing in virtual reality. It outlines opportunities for destinations interested in video game-induced tourism and calls for more research and case studies that link video games with destinations. Originality/value This is, to the authors’ knowledge, the first paper to investigate this connection. As such, it outlines untapped opportunities for destinations interested in video game-induced tourism and opens up a new line of research within media-related tourism literature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".