Hive features a unique Reputation System that plays a crucial role in determining user credibility. Often Integrated into major frontends such as PeakD, Inleo, and Ecency, this system directly impacts how users are perceived within the Hive community.
What is it?
Hive's reputation system assigns a numeric score to each user account, reflecting their contribution to the ecosystem. This score is displayed in parentheses next to usernames on popular Hive-based social platforms.
Why Reputation Matters?
The reputation system encourages healthy social engagement by rewarding quality content and deterring abusive behavior. High-reputation users are seen as more trustworthy, and their interactions often carry more weight in the community. Conversely, low-reputation accounts may struggle to gain visibility, especially if identified as spammers or bad actors.
How it works!
- Starting Score: New Hive accounts begin with a default reputation score of 25.
- Positive Growth: A user's reputation increases when their content receives upvotes, particularly from higher-reputation users. Reputation points change primarily based on the weight of the votes received. Higher-reputation users' votes have a stronger impact (both positive and negative).
- Negative Impact: Downvotes from influential users can reduce a user's reputation score.
- Logarithmic Scaling: The system uses a logarithmic scale, meaning that as reputation increases, it becomes progressively harder to gain additional points. This prevents rapid manipulation.
- Content Creation (Posts & Comments): While reputation itself isn't directly calculated from the number of posts or comments, creating engaging content increases the likelihood of earning upvotes — which ultimately raises your reputation. Conversely, poorly received content may attract downvotes, lowering your score. Votes from accounts with higher reputation carry more influence on others' scores.
Common Perception about Reputation Tiers
I tried to read through whitepaper and FAQs of many dApps but none of them mention the tiers and/or how can I categorize them really. So, i rather used AI to generate a tier system for various reputation levels in Hive and this is what came up.
- 25-39: New or low-reputation users
- 40-49: Average contributors with modest engagement
- 50-59: Trusted members with good presence, Established.
- 60+: Strong community presence, influential in a sense.
Technical Details and Data Access
Reputation scores are stored directly on the Hive blockchain and can be accessed through several methods:
1. Condenser API
The Condenser API exposes reputation data via the get_accounts method. This endpoint returns user profiles, including their reputation score.
Example API Call:
{
"jsonrpc":"2.0",
"method":"condenser_api.get_accounts",
"params":[["vixmemon"]],
"id":1
}
2. HiveSQL
For bulk data analysis, HiveSQL offers a powerful solution to query reputation data efficiently. Developers often use this to analyze user trends, voting patterns, and reputation growth over time.
Sample HiveSQL Query:
SELECT name, reputation
FROM Accounts
WHERE reputation > 60
ORDER BY reputation DESC;
References
- Hive Developer Portal - Technical documentation for API endpoints.
- PeakD - A major Hive frontend displaying reputation.
- Inleo - Another Hive-based frontend incorporating reputation data.
- Ecency - A popular social platform with integrated reputation scores.
- Hive Whitepaper - Hive: Fast. Scalable. Powerful. The Blockchain for Web 3.0
This is very insightful
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