The History of the #Rarediseaseday Campaign in Spanish on Twitter: Longitudinal Analysis of Hashtag Use and Social Network Analysis
Social media provides a vital arena for rare disease (RD) communities, fostering support, advocacy, and knowledge sharing. Rare Disease Day generates a large-scale online conversation, yet previous research has relied mainly on static, cross-sectional snapshots. This study captures the longitudinal evolution of the Spanish-language Twitter debate around Rare Disease Day across a fixed yearly window (1 February to 15 March) from 2008 to 2023. After filtering for Spanish-language posts, a corpus of 308,823 tweets (72,740 originals) was analyzed. We combined hashtag frequency analysis to assess topic salience with social network analysis (SNA) of co-occurrence networks to identify central thematic clusters. Results show progression from early generic expressions to increasingly deliberate, action-oriented communication, reflecting a shift towards empowered activism. A headline finding is the structural centrality and persistence of the hashtag #investigación (#research), underscoring the community’s enduring call for scientific progress. SNA further revealed the difference between transient virality—often linked to political or celebrity-driven hashtags—and the stable, identity-related topics at the core of the debate. Longitudinal hashtag analysis, particularly using SNA, provides a powerful tool to identify stable priorities of online health communities beyond transient media noise.
Authors
- David Bermejo‐Martínez (ORCID: https://orcid.org/0000-0002-3226-8277)
- Isaías García-Rodríguez (ORCID: https://orcid.org/0000-0001-5209-8773)
- Pilar Marqués‐Sánchez (ORCID: https://orcid.org/0000-0002-1304-1552)
- Marta Martínez-Martínez (ORCID: https://orcid.org/0000-0002-8206-378X)
Institutions
- Junta de Castilla y León (ES)
- Universidad de León (ES)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-09-24
- DOI
- https://doi.org/10.3390/app151910359
- Primary Topic
- Social Media and Politics
- Type
- article
- Field-Weighted Citation Impact
- 0.00