# CELEBe {% embed url="" %} CELEBe is a short-form rewards platform that embodies the spirit of Web 3.0 by recognizing the value of viewers and enabling them to enjoy short-form content on their own terms while earning rewards. Our platform offers a pioneering Watch to Earn system, where viewers are rewarded with points for watching short-form content, making it the first of its kind in South Korea. Additionally, we offer CELPICK, a short-form voting game, and Shortply, a short-form curation service slated for release this year. Through these initiatives, CELEBe is establishing a sustainable short-form ecosystem where viewers and creators thrive together. With over 7.5 million cumulative members, CELEBe has shown remarkable growth, evidenced by a significant increase in our core engagement metric, Stickness, which has surged from 5% to 20% within a year. This growth underscores our commitment to fostering a vibrant community and delivering value to both viewers and creators. **W2E (Watch to earn) & C2E (Create to earn)**
CELEBe offers a differentiated reward system with W2E (Watch to Earn) and C2E (Create to Earn) and rewards both content creators and viewers for their activities. With the points earned, you can swap and pay with any token or point you want through fanC Wallet. **LG Smart TV x CELEBe**
CELEBe is embedded in LG's smart TV platform, 'LG webOS,' through close collaboration with LG Electronics, provided via the dedicated CELEBe app for LG smart TVs. Users can easily enjoy various short-form contents through this app, while also having the opportunity to generate income while watching content. CELEBe is actively used in multiple countries such as India, Indonesia, Malaysia, the Philippines, Singapore, Thailand, and Vietnam through LG TVs. This active usage in various countries reflects the global popularity of CELEBe, enabling users to experience high-quality short-form content provided through LG smart TVs while also gaining economic benefits. **Artificial Intelligence (AI)**
Recently, the use of artificial intelligence (AI) in various fields is increasing, but it is hard to find a case where artificial intelligence (AI) has been applied to reward apps. Among them, CELEBe and fanC analyze the optimized behavior of users through artificial intelligence (AI) to provide improved usability to users. CELEBe uses artificial intelligence (AI) in three main directions. 1. Valuation of user activities is made through artificial intelligence (AI), and the process of tokenization as a reward for that activity is supported by artificial intelligence (AI). 2. Artificial intelligence (AI) detects whether creators are infringing on content copyrights. 3. Artificial intelligence (AI) detects fraud in an abuzzing account to prevent abuse of rewards. As such, after the introduction of artificial intelligence (AI) services to CELEBe, the service is being advanced. Since the introduction of artificial intelligence (AI), the duration of stay at celebs in Asia has increased, and the number of loyal customers who continue to use the app has also increased. fanC is planning to gradually advance the solution to the above artificial intelligence-based social platform provided by CELEBe and will continue to develop and support it so that it can be used in various places. **Global Service**
CELEBe has reached several countries, including Vietnam, Thailand, the Philippines, Indonesia, and India, and has achieved 2.36 million downloads abroad. In the Philippines, it topped the download list for the Play Store in December 2023 and attracted more than 2.34 million subscribers.
CELEBe is a platform where points can be used in multiple regions, and has formed point-linked partnerships with Amazon in Indonesia, 7-Eleven in the Philippines, Grab and Lazada in Thailand, and Zalo Pay in Vietnam, and is expanding fanC's partnership based on this. --- # 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://fanc-1.gitbook.io/fanc-whitepaper/introduction/celebe.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.