Earning Reputation and Improving Content

Fake news will cost you reputation on ANOMUS.

As stated earlier in the document, ANOMUS will welcome anyone willing to share their opinions or publish industry or theme-specific insights on the platform. However, no qualification criteria can undoubtedly lead to spam and fake news spreading uncontrollably like wildfires. To prevent fake news and spam, ANOMUS developers have developed a relatively simple yet effective strategy.

Initially, every address will have the ability to post news or stories on the platform. Authors who will be publishing content that is accurate and follows the principles of Anomus will be verified and fact-checked by our auditors. The publisher will then receive a bonus from the incentives program.

If content published from an address is deemed untruthful, it will show in the publishing history and decrease its publisher’s reputation.

Content moderation: prevention of abusive content

Auditors, authors, and readers will play a screening part and will be able to report any harmful, violent or inappropriate content to temporarily remove it from the platform. ANOMUS will be a self-governing platform therefore active participation of all platform members will play a crucial role.

Operating on principles of all-inclusion and censorship-free expression, the ANOMUS development team and the common sense-driven society still regard certain themes as unfit for exploitation on public forums. Themes like abuse, animal cruelty, violence, and other aesthetically unpleasant or morally wrong discourses will be actively removed from the platform. ANOMUS is meant to bring decentralized news and nuanced point of view into a fair battleground of dialogue and not to satisfy the fetishes of the perverted.

Earning reputation and improving content on the platform

One of the most important aspects on the ANOMUS content platform will be the ability to earn platform-localized reputation and credibility, to establish the forever binding bond with all the content that has been produced by a particular user (address) and also all the engagements within the works of other authors.

In today's social networks there is a lack of accountability. It is very easy for Alice to share news to her circle, but she cannot vouch for the content in any way. It is usually not even known if Alice has read the article or just the headline, whether she understands the content within or whether she simply agrees with the whole article or only parts of it. That's how bot accounts and internet trolls disseminate fake news. The current state must be transformed.

How? By introducing layers and weights to the system and individual accounts (addresses). Blockchain is perfect for that.

Weighted system for posting and distribution of content on ANOMUS. To reduce platform spam and provide benefits for active authors, a higher reputation and therefore algorithmic spread on the platform will be given to those, who repeatedly post validated content, generate a lot of views and read-throughs (measured not only by clicks, but by the time spent reading the content and the amount of scrolling). Publishers with a proven-track record should have priority over newcomers and that should be integrated right into the architecture of the underlying system.

Time-locks on distribution coefficients. The weight system will not only work based on the amount of posted content but also evaluating the time spent on the platform, whether it be surfing other authors, participating in discussion threads or suggesting edits and annotations to the existing content. The more parameters such as time and activity are logged, the easier it is to attribute reputation points to users.

Theme-specific accreditation. After some time, when certain themes and areas of discussion are well-established, reputation will also have a field orientation. It is natural that authors and fact-checkers cannot be well-versed and knowledgeable in all topics, therefore niche competency badges will be required to categorize authors and structure reputation.

Improvement by annotations. Every good article can be improved, updated, broadened or enhanced. Life is in flux, new facts come to life, new truths being revealed, narratives debunked. Human wisdom is an ever-growing faculty which re-evaluates the data through an ongoing process. On ANOMUS, users and authors will have the chance to expand the work of their peers, offer edits and suggestions to existing content in order to improve it in exchange for native tokens.

Bias tuples. Bias tuples are a method on displaying content on controversial topics with a multi-sided approach - giving all sides a chance to paint the picture via its own lense and providing the readers with different takes on the same matter. Readers can then evaluate multiple perspectives, investigate authors providing arguments on the subject and decide what to believe. It will promote a culture and an expectation that information should be provided from as many angles as possible.

Knowledge graphs. ANOMUS will host bounties to be earned for linking content pieces in terms of semantics, topics, people and more. Linkages will help to create networks of associated content together where a person exploring one subject will be suggested relevant complementary information. In time, it will form an interconnected hive of information linked to different posts and referencing various other authors who spoke or written about the subject in question.

There are a lot of different techniques which can be applied theoretically in order to improve internal flows of information inside ANOMUS platform. Every technique needs to be tested and calibrated in order to avoid exploits, misuse and cyber-bullying. ANOMUS tends to start with the basic framework and improve through iteration cycles and community votes. It's a lot to be done in order to build a fair and distributed content platform but the effort is worth it. We urge everyone who also believes in ANOMUS mission to actively reach out through social channels and help build ANOMUS together.

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