Êtes-vous un étudiant de l'EPFL à la recherche d'un projet de semestre?
Travaillez avec nous sur des projets en science des données et en visualisation, et déployez votre projet sous forme d'application sur Graph Search.
The Big Air venue of Beijing is constructed in an industrial heritage site named Shougang, under the concept of activating the abandoned area and linking the Olympic venue with public leisure life. As Beijing 2022 has concluded half a year ago and the Shougang park has opened to the public and is attracting thousands of visitors from local and surrounding cities, it's a proper occasion to investigate what kind of scenes, images, and features are more perceived and preferred by visitors, what are visitors’ common impression and attachment towards this special site. It addresses a widely discussed debate that the relationship between mega-event sites and local citizens often appears detached and even conflicted during post-event period and if the public space in the site could be used as a medium to reconnect them. The proliferation of social media sites and the photo-taking/sharing lifestyle in this information era opens the availability of content generated and publicly posted by normal people. Weibo is one of these kinds of crowd-sourcing social media platforms that is the most popular in China. WeChat Channel (shi-pin-hao) is a program embedded inside WeChat where users can update their videos, share them with their WeChat contactors, and open them to the public. This research collects user-generated and publicly posted photos, short videos, and text comments with the keywords: Shougang, Big Air Venue, and Park, from these two platforms. The data analysis approaches include photo clustering based on similarity and linguistic content analysis. And the aim is to extract the common regularity from individual on-site experience.
Daniel Gatica-Perez, Haeeun Kim