The Rise of Web3 Crowdsourcing
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Crowdsourcing, the practice of obtaining needed services, ideas, or content by soliciting contributions from a large group of people, has taken a new and exciting turn in the realm of Web3. As the crypto bubble post-Web3 has expanded, crowdsourcing's role in this ecosystem is becoming more pronounced and nuanced.
What is Crowdsourcing?
In 2005, Wired Magazine's editors Jeff Howe and Mark Robinson coined the term "crowdsourcing." Simply put, it is the act of a company or institution outsourcing functions, once performed by employees, to a large, usually extensive network of people, through a public call. Daren C. Brabham later defined it as an online distributed problem-solving and production model, sometimes known as "commons-based peer production."
Web Crowdsourcing Before Web3
Crowdsourcing has already been implemented on a variety of platforms. Examples include:
-New Yorkers earning money for reporting illegally parked cars.
-Mapping services like Mapillary.
- OCR & Bot-resistance like reCAPTCHA.
- Language learning applications like Duolingo.
- MTurk, where human intelligence tasks are performed.
Web3 Crowdsourcing: The Next Step
With the advent of Web3, crowdsourcing takes a unique turn. Web3 emphasizes the principles of decentralization, transparency, and peer-to-peer interactions. Within Web3, we can find novel concepts such as:
- Staking: A mechanism to incentivize participation.
- Play to Earn: An evolution toward an autonomous world.
- DAOs and Proofs of Humanity: These can also be considered as forms of crowdsourcing.
How Does Web3 Change Crowdsourcing?
Web3 introduces mechanisms like decentralized trust and transparent transactions. Projects like DeCartography use crowdsourcing as a social graph oracle, leveraging the power of decentralized communities. Issues around integrating AI into human-based crowdsourcing tasks and the optimization of quality also emerge as vital considerations.
Web3 Crowdsourcing Platforms
There are several platforms embracing this new concept, such as:
- Hivemapper: A decentralized mapping system.
- gotEM: A crowdsourcing Web3 platform for investigations.
- MODCLUB on ICP: A platform on the Internet Computer Protocol.
- code4rena: A crowdsourcing version of vulnerability assessments.
Future Use Cases
Potential use cases of Web3 crowdsourcing include:
- Citizen Science: Projects like DBDAO offer token-based incentives for data DAOs.
- Human-Based Computation: Innovative approaches to problem-solving.
- Prediction Markets and Content Curation DAOs: Such as TCRs and platforms like relevant.
Conclusion
The integration of crowdsourcing into the decentralized Web3 space signifies a remarkable advancement in collective collaboration and production. From crowdsourced map creation to AI-driven competitions, the potential for decentralized, transparent, and incentivized collaboration is enormous.
As Howe and Robinson envisioned crowdsourcing as a bridge between the crowd's wisdom and corporate outsourcing, the Web3 version of crowdsourcing adds layers of decentralization, trust, and technology, paving the way towards a more democratized future.
With the rise of projects like http://numer.ai, kleros, Proof of Humanity, and others, the challenges and potentials of Web3 crowdsourcing become even more pertinent. Whether it's enhancing AI capabilities or creating a decentralized oracle, the evolution of crowdsourcing within the Web3 space is something to closely watch, as it might indeed be the endgame for a labor-free world. https://pbs.twimg.com/media/F2_xA5obcAATSNd?format=jpg&name=900x900#.png
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Web3・クリプトのバブル以降のユースケースとして、crowdsourcingについて注目している投資家などをメインのターゲットにしていく クラウドソーシングの概念を説明
不特定多数の人から得た入力をもとに、最終的な成果物を作るプロセス・メカニズムのこと
「単純に定義すると、クラウドソーシングは、かつて従業員によって実行されていた機能を、公募するような形で不特定(かつ一般的には大規模な)人々のネットワークにアウトソーシングする企業や機関の行為のことを指す。これは、集団労働(作業が協調的に取り組まれる場合)の形を取ることができるが、しばしば、単独の個人によっても行われる。重要な前提条件は、公募形式と潜在的な労働者の大規模なネットワークを使用することである。」
既存のクラウドソーシング(Webのクラウドソーシング)を取り上げる
Web3だと何が違うか
Web3空間におけるメカニズムとは何か
透明性
既存のオラクルの紹介
信頼できる中立性を保ちながらデータを生成するために、クラウドソーシングをベースとしたオラクルを作る
オラクルとクラウドソーシング
報酬システムについて
Web3 Crowdsourcing
@ockeghem: やはり脆弱性診断となると、腕前とか守秘義務等の信頼度が大切になるのでクラウドソーシングとなると難しいように思います。フリーの診断員という方はおられますが、前職とからの依頼や、フリーランス同士の紹介などで仕事を得ている印象です。 https://gyazo.com/701a50558b9df550730fa8b196831d86
未来へ: 潜在的なユースケース
DBDAO: Token-based incentives for data DAOs []
ソース
クラウドソーシングで出来ること:
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クラウドソーシングのプラットフォーム
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