aVa Reputation

aVa: Action-Based Decentralized Reputation Landscape

Description

Each step you take alters the collective reputation of projects, services, products, or individuals, all within a transparent and decentralized setting.

Immerse in projects using Internet Identity, and observe your reputation escalate in tandem with your accomplishments.

How Reputation works

The Reputation of aVa project is the professionalism of the work or service performed. It's confirmed by experts.

It can be associated with various entities such as products, projects, individuals, services, and documents.

To obtain reputation, documents or evidence of professionally executed work must be presented. For individuals, this can include articles posted on social media or websites, completed tasks in a project, or completed training courses on a specialized platform.

Projects can receive reputation through documents showcasing project results, such as delivery notes or diplomas.

Similarly, product reputation is generated through customer feedback on delivery documents, which can impact the reputation of the manufacturer.

The reputation system is administered by experts, participants who have demonstrated their professional competence, such as through published works, and have accumulated a certain amount of reputation themselves.

Reputation badges are comprised of the highest reputation values in specific fields, represented by tags, which can be assigned to document by the author or by the aVa project.

Reputation acquisition mechanisms:

• A person's reputation is given to documents confirming professionally performed work (e.g. an article in a social network, on a website; a training course on a special platform; completed tasks in a project, etc.);
• Project reputation is given to documents showing the results of a project (delivery notes of delivered goods or completed orders, diplomas, etc.);
• Product reputation is given to delivery documents with customer feedback and affects the manufacturer's reputation;
• Document reputation is placed on the document itself;
• The maximum reputation change per document is 100;
• Reputation is given by participants who have a certain level of reputation (hereinafter - experts) in a given field of knowledge. Experts are participants registered in the reputation system who have received a confirmation of their professional competence. Confirmations are issued, for example, on the basis of published works;
• The reputation badge consists of 3-5 parts with the highest reputation values in the respective fields (example for a document with the tags IT, AI, Java, Robots):

Tags can be set independently by the author and/or by the aVa project.

The period of possible reputation gain is 3 years from the date of publication.

Reputation Badge

See Reputation Badge page

Consumers

If the user has a reputation balance lower than the threshold (currently 100) he/she is called a "Consumer".

The consumer reputation account can be used to reduce the reputation of a product or service (product, project and product reputation), the sum of product (service) reputation is the supplier's reputation, regardless of his professional competence.

Specialists and Experts

The reputation system is managed by experts - participants who have proven their expertise, e.g. through published work, and have earned a certain reputation.

As soon as a consumer exceeds the threshold of the Category's reputation balance (currently 100), they can become an Specialist.

As soon as a Specialist exceeds the threshold of the Category's reputation balance (currently 500), they can become an Expert.

To do so, he/she must publish some documents in the reputation system - books, articles, orders, projects, etc., and receive positive feedback from existing experts.

Each user can be an expert in a maximum of 5 knowledge areas ("Categories").

Specialists and Experts receive incentive tokens for reviewing participants' works.

Reputation Distribution (Recognition)

Each expert receives Distributive Reputation Tokens (DRTs) daily, in an amount equal to his or her balance in each Category.

DRTs are used to increase the reputation of other users.

An expert should evaluate the document in the aVa system, and the author of that document will increase the corresponding reputation balance.

Experts are rewarded with incentive tokens for their efforts.

Reputation Burning

When someone's professionalism is disproved, the reputation of the person who disproved it is reduced at the same time ("reputation burning").

Reputation burning is possible for the author's material in an amount not exceeding the distributed reputation of the participant, and once per participant (i.e. for an author's article, a participant with 3 tokens of distributed reputation can burn up to 3 reputations, losing up to 3 points of his base reputation; on the next and subsequent days, this participant cannot minus this material).

You cannot burn the reputation of an expert whose reputation is higher than yours.

Reputation Sharing

If a document has multiple authors or Categories(tags), the author(s) should set the reputation distribution shares.

By default, the first 5 authors or Categories get an equal share of the reputation (e.g. 20% each if the document has 5 tags).

Reputation meltdown

A member's reputation that is not supported by creating new documents or participating in new projects will decrease ("melt").

The rate of reputation loss ("meltdown") is 10% for users and 30% for experts per year.

Categories

See Categories

Incentive tokens

See Incentive tokens

API documentation

See API Documentation