Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods
Abstract
Massive tourism is becoming a big problem for some cities, such as Barcelona, due to its concentration in some neighborhoods. In this work we gather Instagram data related to Barcelona consisting on images-captions pairs and, using the text as a supervisory signal, we learn relations between images, words and neighborhoods. Our goal is to learn which visual elements appear in photos when people is posting about each neighborhood. We perform a language separate treatment of the data and show that it can be extrapolated to a tourists and locals separate analysis, and that tourism is reflected in Social Media at a neighborhood level. The presented pipeline allows analyzing the differences between the images that tourists and locals associate to the different neighborhoods.
Cite
Text
Gomez et al. "Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods." European Conference on Computer Vision Workshops, 2018. doi:10.1007/978-3-030-11024-6_41Markdown
[Gomez et al. "Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods." European Conference on Computer Vision Workshops, 2018.](https://mlanthology.org/eccvw/2018/gomez2018eccvw-learning-a/) doi:10.1007/978-3-030-11024-6_41BibTeX
@inproceedings{gomez2018eccvw-learning-a,
title = {{Learning from #Barcelona Instagram Data What Locals and Tourists Post About Its Neighbourhoods}},
author = {Gomez, Raul and Gómez, Lluís and Gibert, Jaume and Karatzas, Dimosthenis},
booktitle = {European Conference on Computer Vision Workshops},
year = {2018},
pages = {530-544},
doi = {10.1007/978-3-030-11024-6_41},
url = {https://mlanthology.org/eccvw/2018/gomez2018eccvw-learning-a/}
}