> For the complete documentation index, see [llms.txt](https://whitepaper.smart-places.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.smart-places.io/whitepaper/value-proposition-and-ecosystem/empowering-individuals/reward-system.md). # Reward System Our unique ‘Connect2Earn’ incentivization model represents a pivotal linchpin within the SmartPlaces ecosystem. Simply put, the more active users are, the greater the reward they receive. Users will receive rewards for interacting with others in the ecosystem. These interactions not only include traditional social media activities such as status updates, posts, sending and receiving likes, shares, and comments, but also users meeting others in the real world and participating in events together. Equally important, SmartPlaces users decide whether to share their personal activity data, which has been exploited by traditional social media for their disproportional profits. Even if SmartPlaces users choose not to share their activity data, the platform remains accessible with the minimal provision of the necessary data for running services, although users forego the option to generate rewards from this data sharing. For example, users can opt to enable (or disable) ads to be displayed in the app and receive (or decline) rewards in exchange (or lack) or their personal data. SmartPlaces aims to disrupt the status quo of traditional social media, namely ‘If the product is free, you are the product,’ with a simple but revolutionary paradigm shift: ‘your data, your decision.’ Furthermore, the ‘Connect2Earn’ model ensures the user’s right to participate in fair, incentivized data sharing, while user-centered provision of personal data will enable businesses to offer highly relevant, client-fitting goods and services. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://whitepaper.smart-places.io/whitepaper/value-proposition-and-ecosystem/empowering-individuals/reward-system.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.