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Crowdsourcing offers an invaluable toolkit for obtaining dynamic trends and insights from social media data analytics, enabling the capture of the wisdom of the crowds. The plethora of available platforms requires the appropriate definition of data schemas and techniques to allow for efficient knowledge extraction from unstructured social media user generated content and users' multilevel interactions. The present work addresses such challenges by designing an effective and flexible documentdoi:10.5281/zenodo.5675463 fatcat:5nmipdsweff3fezluj5keivyba