A Citizen Science Approach for Analyzing Social Media With Crowdsourcing

Author:

Bono Carlo1ORCID,Mulayim Mehmet Oguz2ORCID,Cappiello Cinzia1,Carman Mark James1ORCID,Cerquides Jesus2ORCID,Fernandez-Marquez Jose Luis3,Mondardini Maria Rosa4ORCID,Ramalli Edoardo1ORCID,Pernici Barbara1ORCID

Affiliation:

1. DEIB, Politecnico di Milano, Milan, Italy

2. Artificial Intelligence Research Institute (IIIA-CSIC), Cerdanyola del Vallès, Spain

3. Centre Universitaire d’Informatique, University of Geneva, Geneva, Switzerland

4. Citizen Science Center Zurich (UZH and ETHZ), Zürich, Switzerland

Funder

Horizon 2020 Framework Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference44 articles.

1. Tweet analysis for real-time event detection and earthquake reporting system development;sakaki;IEEE Trans Knowl Data Eng,2012

2. Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm

3. Using social media data in emergency management: A proposal for a socio-technical framework and a systematic literature review;adrot;Proc ISCRAM,2022

4. Understanding reactions to misinformation—A COVID-19 perspective;karray;Proc 19th Int Conf Inf Syst Crisis Response Manag,2022

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2. Enhancing Disaster Response with Automated Text Information Extraction from Social Media Images;2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService);2023-07

3. Sustainability and Governance of Data Ecosystems;2023 IEEE International Conference on Web Services (ICWS);2023-07

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