Liquid Newsroom :: Some figures and facts behind the LNR (Liquid Newsroom). It is a technical platform I use to scan the net for breaking news and to distribute it via all channels of interest. So far it I can manage two kind of streams: a stream from sources which have published content on the Internet (news portals, social media) as well as content from reporters on-the-ground.
The LNR delivers news at the moment its published by one of your news sources of interest. The technical platform - currently in "closed" Alpha - can be used to connect to other journalists at other places to create a new kind of news network. Imagine someone working with the LNR in Beirut, Moscow or Los Angeles. If they decide to collaborate they can easily share their own streams with each other.
The core idea is: independent, demand driven and ultra-fast collaboration. It supports a local expert to manage her sources and to distribute news to her peers in case of interest. Changes in the setup of the incoming news stream ("news pipeline") have immediately impact on the flow of news into the Liquid Newsroom. If a news landscape changes within seconds: something which happens usually when news break and you're forced to switch to different information sources to monitor the information coming in, you can adjust to the changes very easily.
The tests over the last couple of months were encouraging regarding the increase in productivity and typical business metrics (CTR, RPM, etc.) - Here's a short clip of how a user can interact with the LNR. The main actions you need in a typical production process, e.g. reading, editing, posting, can be triggered using characters on your keyboard like "j" to read the next news item, "k" to read the last agains, "s" for save and "m" to mail to anyone you like to.
If you like to know how you can use the LNR in your news environment, get in touch with me by email at steffen(dot)konrath (at) nextlevelofnews(dot)com.
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