Julià Minguillón
Biographic Data
| ID | 6702286 |
|---|---|
| NAME | Julià Minguillón |
| GIVEN NAMES | Julià |
| FAMILY NAME | Minguillón |
| SIGNATURE | MINGUILLÓN J |
| AFFILIATIONS | Universitat Oberta de Catalunya |
| ORCID | 0000-0002-0080-846X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Wikipedia gender gap
In this scoping review, we portray an examination of the gender gap on Wikipedia by analyzing scholarly literature from 2007 to 2022. Employing quantitative methods, the study identifies key author characteristics such as gender, disciplines, countries, and institutions. The research reveals a slight majority of female authors, followed by male authors, with limited representation from non-binary authors. Qualitatively, content analysis uncovers …
The gender gap on the Spanish Wikipedia
Wikipedia is one of the most widely used information sources in the world. Although one of the guiding pillars of this digital platform is ensuring access to the diversity of human knowledge from a neutral point of view, there is a clear and persistent gender bias in terms of content about or written by women. Through semi-structured interviews with current and former women editors, our research offers a closer look at the different factors that …
Mining Facebook Data of People with Rare Diseases
This research characterized how Facebook deals with rare diseases. This characterization included a content-based and temporal analysis, and its purpose was to help users interested in rare diseases to maximize the engagement of their posts and to help rare diseases organizations to align their priorities with the interests expressed in social networks. This research used Netvizz to download Facebook data, word clouds in R for text mining, a log-…
Semi-automatic generation of a corpus of Wikipedia articles on science and technology
Despite the huge amount of scientific and technological content available on the World Wide Web, most of it is closed behind paywalls, as with academic journals, or almost invisible, as with institutional repositories. Wikipedia can act as a chain-transfer agent, providing people with an accessible, organized structure containing both understandable content and links to original sources. In Wikipedia, categories are collaboratively created and th…
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Semi-automatic generation of a corpus of Wikipedia articles on science and technology
Despite the huge amount of scientific and technological content available on the World Wide Web, most of it is closed behind paywalls, as with academic journals, or almost invisible, as with institutional repositories. Wikipedia can act as a chain-transfer agent, providing people with an accessible, organized structure containing both understandable content and links to original sources. In Wikipedia, categories are collaboratively created and th…
Mining Facebook Data of People with Rare Diseases
This research characterized how Facebook deals with rare diseases. This characterization included a content-based and temporal analysis, and its purpose was to help users interested in rare diseases to maximize the engagement of their posts and to help rare diseases organizations to align their priorities with the interests expressed in social networks. This research used Netvizz to download Facebook data, word clouds in R for text mining, a log-…
The gender gap on the Spanish Wikipedia
Wikipedia is one of the most widely used information sources in the world. Although one of the guiding pillars of this digital platform is ensuring access to the diversity of human knowledge from a neutral point of view, there is a clear and persistent gender bias in terms of content about or written by women. Through semi-structured interviews with current and former women editors, our research offers a closer look at the different factors that …
Wikipedia gender gap
In this scoping review, we portray an examination of the gender gap on Wikipedia by analyzing scholarly literature from 2007 to 2022. Employing quantitative methods, the study identifies key author characteristics such as gender, disciplines, countries, and institutions. The research reveals a slight majority of female authors, followed by male authors, with limited representation from non-binary authors. Qualitatively, content analysis uncovers …
Computer Science (3 works) · Psychology (3 works) · Social Psychology (3 works) · Sociology (3 works) · Wikis in Education and Collaboration (3 works) · Content analysis (2 works) · Political science (2 works) · Social Media and Politics (2 works) · Social Psychology (2 works) · World Wide Web (2 works)