Inspiration
We live in a knowledge worker age. We attain information from books, news, internet, people, life experience, and everything else. In a fast changing field like computer science, the importance of news is higher. But news is not condensed. On the contrary book are highly condensed but outdated. So there is a gap between books and news.
The personalization and recommendation engine used by Facebook and Google is not user customizable. For example, we know that search engines balance relevance of the search term and popularity in their results. The user is not given the power to tweak the algorithm. This is the root cause for filter bubble problem and manipulation of search results and social media feeds. Another example is that in Facebook a user might not click the Like button of a post for privacy reasons but might actually be interested in it. So we wish to provide control to the user on what should be prioritized more.
So we provide the popularity of the articles, the dates written, the number of words and the category of the articles through charts and other means which will help the user in picking the right article to read.
Blockstack Authentication and Storage is used for upvoting of articles.
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