Analyzing social media with crowdsourcing in Crowd4SDG

Autor: Bono, Carlo, Mülâyim, Mehmet Oğuz, Cappiello, Cinzia, Carman, Mark, Cerquides, Jesus, Fernandez-Marquez, Jose Luis, Mondardini, Rosy, Ramalli, Edoardo, Pernici, Barbara

Social media have the potential to provide timely information about emergency situations and sudden events. However, finding relevant information among millions of posts being posted every day can be difficult, and developing a data analysis project

Externí odkaz: http://arxiv.org/abs/2208.02689

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A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data

Autor: Jerónimo Hernández-González, Jesús Cerquides, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez, Mehmet Oğuz Mülâyim

Publikováno v: Mathematics
Volume 9
Issue 8
Dipòsit Digital de la UB
Universidad de Barcelona
Mathematics, Vol 9, Iss 875, p 875 (2021)
Digital.CSIC. Repositorio Institucional del CSIC
instname

Over the last decade, hundreds of thousands of volunteers have contributed to science by collecting or analyzing data. This public participation in science, also known as citizen science, has contributed to significant discoveries and led to publicat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac18f47f488b4a6e90dacff94b933f01