New Paper: "Can Social Media Data Help to Understand the Socio-spatial Heterogeneity of the Interests and Concerns of Urban Citizens?"

In this research, our team used geolocated Twitter data and a multilingual language model to identify the main topics discussed by the citizens of the metropolitan area of Mexico City. Furthermore, we assessed the relationship between Twitter activity and content and marginalization at the municipality scale. Socially and environmentally relevant topics such as LGBTQ+, politics, vaccinations, women/feminism, air transport, cycling, healthcare/medicine, and public transportation were present in the digital urban conversation. Inhabitants of more marginalized municipalities displayed lower activity on Twitter and less diversity of topics. Moreover, there is highspatial clustering between the main topics discussed at the municipality level. Topics such as vaccinations, reading/literature and computers/smartphones are mainly discussed in areas with low marginalization, while racism/race, public transportation and money/finance are frequent in municipalities with a high proportion of marginalized inhabitants.

You can read our book chapter here: https://link.springer.com/chapter/10.1007/978-3-031-61440-8_10

And the Springer book "Recent Developments in Geospatial Information Sciences" here: https://link.springer.com/book/10.1007/978-3-031-61440-8