The web contains many services that provide informative/educational articles. There are services for news articles, health articles, sports articles, game articles and so forth. They all provide good information and people using those services most likely receive the information they are looking for. However, the information is so vast that people simply don’t have time to skim through everything or begin a intensive search for something.
The idea to solve this problem is an article aggregator. It is a service that gathers articles depending on what the key words are. In other words it acts as a filter for all those articles online with everything not fitting the keywords being dropped out. The uniqueness comes from the idea of combining different article service providers and then presenting the filtered results to the user. An analogy is hotels.com which contains thousands of hotels around the globe in which people can easily choose based on the cost, location, rank and reviews of other users. Essentially the previously listed criteria are just filters, which act very much the same way as the criteria set for an article search.
Example: A man wants to find articles related a certain company that he follows in the stock market. Normally the process would be to be go through different sites and read the articles written about that company. With the article aggregator the man can just type the name of the company and specify for instance the type of article being searched for like this “company:apple”. This would initiate a large scale search over various financial article providers and bring back the results into one clearly viewable page. Clicking on the article link, it would take the user to the actual article.
Improving the Idea
The article aggregator needs to incorporate some sort of ranking system. When a user searches for articles, the articles ranked the highest should be displayed first. The ranking is done in the article aggregator service. After the person has read the article, he/she may report back with a ranking on the aggregator site. The ranking could be based on a 1-5 star type ranking system with the average representing the rank status of the article.
Perhaps making a general article aggregator might be too cumbersome. Defining the user group could help. If the user group was stock traders, then they would be interested in company news and any information on future prospects. Finding different services displaying these types of articles would narrow the viewpoint down and make the idea feasible.
With a more defined user group, the service should provide something extra. Google provides a translating service which could be used to translate company reports and news to the users own language. To this day investors are met with the dilemma of not having equal information of a different market simply because it is not as accessible as it is to someone for whom it is their home market. To make this more transparent a service that gathers market news from different countries and presents in a local language provides an invaluable service to investors.
The Market
News aggregators currently are composed of sites that use algorithms to group similar articles together. When a user navigates to one article, it is easy for him/her to find another similar one as they have been grouped. Currently there are some news aggregator services. The main ones are Drudge Report and Huntington Post. Huntington Post uses social media primarily to spread information to its users. Also it brings its content through email newsletters.
