@misc{10481/84540,
year = {2023},
month = {6},
url = {https://hdl.handle.net/10481/84540},
abstract = {Twitter accounts can be a relevant (in addition to websites) source of information, particularly for studying the
public profile of an institution. In this study, a content analysis of the @epoorg account was performed. The
description of the EPO on social networks has never been researched thus far. Using the Tractor software, 19,565
tweets were downloaded and uploaded to the Graphext platform, which uses machine learning to perform topic
analysis. Twenty main clusters were identified, which, once organized, engendered the following four main
content groups: awards, training, events, and thematic. The thematic contents that the EPO addresses include
industry 4.0, cancer, COVID-19, battery innovation, clean energy, climate change. The content is balanced: no
country stands out.},
organization = {Ministry of Science, Innovation and
Universities (Spain) Grant Nº: RTI2018-098966-B-I00},
organization = {University
of Granada: PP2022.PP.32},
publisher = {Elsevier},
keywords = {European Patent Office},
keywords = {EPO},
keywords = {Twitter},
keywords = {Content analysis},
title = {European Patent Office (EPO) en Twitter: A content analysis},
doi = {10.1016/j.wpi.2023.102213},
author = {Herrero Solana, Víctor and Faba-Pérez, Cristina},
}