Today we face a media landscape where traditional news is on the decline - it's simply too expensive to maintain the business models of old in this brave new digital world. How does one monetize objective journalism about social issues when content can be found for free by bleeding media houses, bloggers and news aggregators? One utilizes the power of crowdsourcing, of course.
Instead of having comments after a published article where people complain about the accuracy of the content, we see it as a natural next step to involve the readers in the final product. Wikipedia today is widely considered a reliable source f unbiased information. In the same sense, we consider this idea to be able to present correct and objective news by involving the public. There is a lot of expertise among the active Internet community and it is a shame not to put it into good use.
So how do we make journalists out of ordinary citizens? We believe that the very foundations that manifest as an editor or journalist can be programmed into our service by machine learning algorithms. We envision a service build on artificial intelligence (AI) that filters out discriminating content, automatically crawls the web for potential news sources and rewrites the collaborative input into one consistent article so as to make it readable.
We're aiming for educated and skilled professionals who are interested in the workings of day-to-day social issues, but perhaps find it rather difficult to find the most accurate news and information. These same professionals may be well versed in the affairs of social and welfare issues reported and would be most welcome to make contributions as writers particularly in their respective professional [and practising] fields of study, work and/or life experience.