Kassens-Noor, Eva ; Vertalka, Joshua ; Wilson, Mark (2019)
Good games, bad host? Using big data to measure public attention and imagery of the Olympic Games.
In: Cities, 90
doi: 10.1016/j.cities.2019.02.009
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Mega-event boosters frequently claim increased public attention and improved host city imagery as a rationale for public investments in major events. We design a methodology and develop an algorithm to measure both, public attention and imagery. We apply the algorithm to capture over 430 million tweets and content-analyze over 21 million tweets related to the Olympic Games, the International Olympic Committee, and their host cities. Olympic-related attention captures ~12.5% of the global twitter discourse during the event. In the English language, Olympic cities receive a positive brand value from the Olympic Games, because positive tweets about the Games and their prior, future, and bid cities exceed negative tweets at a ratio of 4:1. The Olympics leave no long-term image-legacy on twitter to their hosts but attract significant positive attention to the future host city. In contrast, the IOC attracts more negative than positive attention on twitter.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Kassens-Noor, Eva ; Vertalka, Joshua ; Wilson, Mark |
| Art des Eintrags: | Bibliographie |
| Titel: | Good games, bad host? Using big data to measure public attention and imagery of the Olympic Games |
| Sprache: | Englisch |
| Publikationsjahr: | 7 Januar 2019 |
| Verlag: | Elsevier |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Cities |
| Jahrgang/Volume einer Zeitschrift: | 90 |
| DOI: | 10.1016/j.cities.2019.02.009 |
| Kurzbeschreibung (Abstract): | Mega-event boosters frequently claim increased public attention and improved host city imagery as a rationale for public investments in major events. We design a methodology and develop an algorithm to measure both, public attention and imagery. We apply the algorithm to capture over 430 million tweets and content-analyze over 21 million tweets related to the Olympic Games, the International Olympic Committee, and their host cities. Olympic-related attention captures ~12.5% of the global twitter discourse during the event. In the English language, Olympic cities receive a positive brand value from the Olympic Games, because positive tweets about the Games and their prior, future, and bid cities exceed negative tweets at a ratio of 4:1. The Olympics leave no long-term image-legacy on twitter to their hosts but attract significant positive attention to the future host city. In contrast, the IOC attracts more negative than positive attention on twitter. |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Verbund Institute für Verkehr > Institut für Verkehrsplanung und Verkehrstechnik |
| Hinterlegungsdatum: | 27 Mär 2024 10:04 |
| Letzte Änderung: | 27 Mär 2024 10:04 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum