RT dataset
T1 Dataset of Tweets on Assets of Cultural Interest Along the French Way in Castilla y León (2009-2023)
A1 Díaz de la Fuente, Silvia
A1 Santos Martín, José Ignacio
A1 Ahedo García, Virginia
A1 Alonso Abad, Mª Pilar
A1 Galán Ordax, José Manuel
K1 Twitter Data
K1 Cultural Heritage
K1 French Way
K1 Castilla y León
K1 Social Media Analytics
K1 Public Engagement
K1 Tourism Trends
K1 Community Impact
K1 Historical Sites
K1 Data Collection
K1 Bienes de Interés Cultural
K1 Assets of Cultural Interest
K1 Linguistic Analysis
K1 Real-time Analytics
K1 Cultural Promotion
K1 Heritage Management
K1 Patrimonio cultural
K1 Cultural property
K1 Comunicación
K1 Communication
AB This dataset comprises a comprehensive collection of tweets pertaining to Assets of Cultural Interest along the French Way in Castilla y León, spanning from January 1, 2009, to March 24, 2023. Assembled with the aid of the twarc2 Python package and academic access credentials, the dataset provides raw, unprocessed data for each cultural landmark, featuring a wide array of fields including text, date, language as identified by Twitter, author, number of retweets, and more.
PB Universidad de Burgos
YR 2024
FD 2024-04-02
LK http://hdl.handle.net/10259/8876
UL http://hdl.handle.net/10259/8876
LA eng
NO Díaz de la Fuente, Silvia; Santos Martín, José Ignacio; Ahedo García, Virginia; Alonso Abad, Mª Pilar; Galán Ordax, José Manuel; 2024; Dataset of Tweets on Assets of Cultural Interest Along the French Way in Castilla y León (2009-2023); RIUBU; http://doi.org/10.36443/10259/8876
NO The authors would like to acknowledge the support and funding from the Spanish Ministry of Science and Innovation through its networks of excellence HAR2017-90883-REDC and RED2018-102518-T, and the project PID2020118906GB-I00, as well as from the Regional Government of Castilla y León - Department of Education (BDNS 425389), and the FWO-WOG (W001220N). Additionally, this work has been partially funded by the European Social Fund, through the predoctoral contract awarded to Silvia Díaz de la Fuente by the Department of Education of the Regional Government of Castilla y León. We acknowledge Santander Supercomputacion support group at the University of Cantabria who provided access to the supercomputer Altamira Supercomputer at the Institute of Physics of Cantabria (IFCA-CSIC), member of the Spanish Supercomputing Network, for performing processing work.
DS Repositorio Institucional de la Universidad de Burgos
RD 24-nov-2024