A fesztiválélmény megjelenése a közösségi médiában: a Sziget Fesztivál példája

Hinek, Mátyás; Kulcsár, Noémi

doi:10.14267/turbull.2019v19n3.1

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…Of the three sections of photos, the category on events and festivals was the section with the least respondents selecting the photo we marked (where fewer people are included) (28.6%). Previously published studies have shown that even in the case of mass events, such as festivals and other large events, crowds and congestion are disturbing for participants and are usually voiced by visitors (Hinek -Kulcsár, 2019;Formádi et al, 2019;Kiss -Hinek, 2020). However, it is undeniable that visitors attending festivals and larger events are usually aware of the fact that the program of their choice is likely to be crowded, and thus less likely to view this phenomenon as an unexpected problem.…”

Section: Heat Map Visualisationmentioning

confidence: 99%

Deciphering overtourism impacts through eye-tracking analysis

Szőllős-Tóth,

Bujdosó,

Csapóné Riskó

2024

Ecocycles

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The use of eye-tracking in the field of tourism is not very widespread, most of the existing studies use this qualitative tool to investigate the viewing of tourism websites or advertising. In contrast, this paper focuses on the identification and examination of the negative effects associated with the phenomenon of overtourism through photographs. The primary research involved 14 participants, and the results were presented using heat-map plots. Participants devoted considerable time to viewing the signs of the negative impacts of tourism in the photos, but based on the responses to the questionnaire completed after the remote eye device survey, it was found that their willingness to travel was not affected to a considerable extent in a negative direction by the undesirable elements in the photos. Broken down by gender, women spent less time exploring natural beauty and built heritage, while men spent more time viewing these areas.

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Section: Heat Map Visualisationmentioning

confidence: 99%

Deciphering overtourism impacts through eye-tracking analysis

Szőllős-Tóth,

Bujdosó,

Csapóné Riskó

2024

Ecocycles

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“…Previous research examined the elements of festival experiences as they appear in eWOM through manual analysis. As an immediate antecedent to the present research, Hinek and Kulcsár (2019) investigated the experiential dimensions of the Sziget Festival in this way. In their research they conducted a qualitative text analysis of guest reviews on the Sziget Festival Official website.…”

Section: Introductionmentioning

confidence: 99%

Topic modelling of festival-visitors' opinions: A case study of Sziget Festival

Hinek,

Papp-Váry

2024

EJTR

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The Sziget Festival is one of Europe’s biggest music events, held every August on the Óbuda Island in Budapest. The elements of festival experiences were analysed through social media opinions of Sziget Festival attendees published between 1 January 2014 and 31 July 2022, using structural topic model (STM) computer algorithm and latent Dirichlet allocation (LDA). Our findings support existing literature, showing that festival experiences are cognitive-affective in nature with key elements of socialisation, environment, and festival value, some of which are inter-connected. Although this kind of research is rare in tourism, our paper argues for its usefulness and provides an example of application, using consumer data to facilitate decision-making and support the festival industry. The paper concludes with recommendations for future research, as well as incorporating LDA with other qualitative and quantitative research.

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Fesztivállátogatók véleményeinek számítógéppel támogatott tematikus modellezése– egy kísérlet eredményei = Computer-aided topic modelling based on festival-goers’ opinions– results of an experiment

Hinek

2021

TURBULL

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Tanulmányunkban arra teszünk kísérletet, hogy egy számítógépes algoritmus, a rejtett Dirichlet eloszlást alkalmazó strukturált témamodell (stm) segítségével meghatározzuk a Sziget Fesztivál látogatói által a Facebookon írt vélemények jellemző témáit, és ezeket összevessük egy korábbi kutatásunkban körvonalazott témákkal. A Sziget Fesztivál látogatóinak az elmúlt hét évben angol nyelven írt szöveges véleményei alapján az algoritmus segítségével kilenc témát modelleztünk, melyek tartalma és köre csak részben egyezett meg a korábbi, kvalitatív kutatásunkban azonosított témákkal. Vizsgálatunk legfontosabb eredménye, hogy számítógépes eszközökkel eredményesen vizsgálhatók a látogatói vélemények, ugyanakkor az eredmények minőségét meghatározza a korpusz nagysága, vagyis az elemzett hozzászólások száma és terjedelme. In our study, we attempt to determine the typical topics of opinions written by Sziget Festival visitors on Facebook using structured topic model (stm) computer algorithm and latent Dirichlet allocation, and compare the results with our previous research. Based on written opinions of the visitors of the Sziget Festival in the last seven years, we modelled nine topics. Their content and scope partly matched the topics identified in our previous qualitative research. The most important result of our study is that visitor opinions can be successfully examined with computer tools, but the quality of the results is determined by the size of the corpus, i.e. the number and scope of the analysed posts.

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A fesztiválélmény megjelenése a közösségi médiában: a Sziget Fesztivál példája

Cited by 5 publications

References 14 publications

Deciphering overtourism impacts through eye-tracking analysis

Deciphering overtourism impacts through eye-tracking analysis

Topic modelling of festival-visitors' opinions: A case study of Sziget Festival

Fesztivállátogatók véleményeinek számítógéppel támogatott tematikus modellezése– egy kísérlet eredményei = Computer-aided topic modelling based on festival-goers’ opinions– results of an experiment

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