Content curation is not a new phenomenon. According to Wikipedia:
Museums and galleries have curators to select items for collection and display. There are also curators in the world of media, for instance DJs of radio stations tasked with selecting songs to be played over the air.
Methods
Content curation can be carried out either manually or automatically or by combination of them. In the first case, it's done by specially designated curators. In the second case, it's done using one or more of the following:
*Collaborative filtering
*Semantic analysis
*Social rating
*Collaborative filtering
Collaborative filtering is a method of forecasting often used in recommendation systems. This principle is based on the axiom that evaluations made by users in the past are predictive of evaluations that they will make in the future.
Collaborative filtering can either be based on votes and views of a given social community, as it's done on Reddit and Digg, or the end user's own prior activity, as it's done on YouTube and Amazon.
*Semantic analysis
Semantic analysis examines the relationship between the various elements and sources of information found in a given document. The system compares some of the factors or all the information sources topics and terms. This method uses the principles of factor analysis to analyze relationships between the studied phenomena and objects.
This approach has been successfully implemented by services like, Stumbleupon, which break up content according to topic, subtopic, and category. Trapit uses semantic analysis in combination with user feedback and AI technology to refine content selections for its users.
*Social rating
This method employs user ratings and recommendations to select content. The system finds someone with interests similar to the end user and bases its recommendations on their activity. This method of selection is widely used on social sites such as Facebook and Flipboard.
Parameters for determining the social ranking are generally based on actions such as shares, vote, Likes, etc., keeping in mind the time that these activities are carried out once the content is published. The more there are such activities in a shorter time, the higher rating this content gets.
"Social curation" services like Pinterest allow users to share and discuss their curated collections of found content.
Curation on Steem It is a VITAL part of the Steem Platform.
**The idea here is very simple:
Users that manage to find hidden gems and raise awareness to them are rewarded.
It is basically a profit sharing system.
You don't have to be the first to vote on something to get rewards, but it helps. The sooner you upvote, the better.
There are also curation rewards for upvoting good comments!
The general rule of thumb is to vote on things outside the trending page that you think are really good, then you can Resteem it to increase the odds of it being noticed and your curation rewards grow for doing the service of helping the author.
Assuming the author chooses a 50%/50% strategy (50% SBD 50%SP) , this is how the earnings look:
Your earnings go directly to your Steem Wallet 7 days after your actions. You can convert your earning to any currency.
Our advice is to Socialize and Share topics you normally would on any other Social Media Platform.
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