# Web 3 Crowdsourcing By including millions of knowledgeable Web 3 participants, TAGGER addresses the limitations of data collection and annotation inherent in the Web 2 environment. Through a decentralized data work platform, we distribute tasks to the masses, enabling the collection of large-scale, high-quality data. This decentralized approach offers unprecedented possibilities for data collection, as participants from around the world can contribute data from various fields. The authenticity and security of these datasets are ensured through smart contracts. Leveraging blockchain, annotation tasks become globally accessible, enabling efficient, transparent, and fair collaboration. Participants can choose tasks that align with their skills and interests, while smart contracts guarantee compliance, consistency, and accountability in the annotation process. By defining the requirements, annotation standards, and reward mechanisms within smart contracts, TAGGER ensures the quality of annotations while reducing the associated costs. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://tagger.gitbook.io/tagger-documentation/our-solutions/a-full-stack-decentralized-ai-data-solutions-platform/web-3-crowdsourcing.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.