A Storify (2nd page) :: Why not have a break, if the majority of your audience won't listen anyway.
LNR :: The Liquid Newsroom, or LNR, is a cloud application, accessible via the Internet, which utilizes the strengths of the real time web: quick news delivery to people connected along the interest graph. #liquidnews, or signals, are used to identify information sources and to analyze their place in the content ecosystem. Here's the presentation we gave at this years Journalism Festival in Perugia, Italy.
Starts at 07:46 min:
April 27, 2013 at 09:26 PM | Permalink
A look into the future of this amazing collaborative framework. Imagine what would happen if we would start to build News3.0 as a semantic web with a mashup of services and news sources, one of the fundamental ideas behind the Liquid Newsroom.
TechCrunch :: The Semantic Web’s promise is about developing common frameworks that allows data to be shared and reused across applications and platforms. At its heart comes the understanding that applications are loosely coupled. The apps connect with APIs that form a sort of glue. The data moves between these apps, which is increasingly analyzed to discover its meaning and value.
You can see this in action to some extent with Salesforce.com Radian 6 and its “insights” technology for measuring social data from online conversations in multiple languages.
A report by Alex Williams, techcrunch.com
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 then rapidly distribute it via all channels of interest. So far, I can manage two kind of streams: a stream from sources which have published content on the Internet (e.g. news portals, social media) as well as content from reporters and content creators on-the-ground.
The LNR delivers news and content at the moment its published by one of your sources of interest. The technical platform - currently in "closed" Alpha - can be used to connect to other content creators at other locations to create a sort 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 content collaboration and distribution. It supports a local expert, allowing her to manage her sources and to distribute news to her peers rapidly. Changes in the setup of the incoming news stream ("news pipeline") have an immediate impact on the flow of news into the Liquid Newsroom.
The tests made with LNR 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 to take in a typical content 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 would like to know how you can use the LNR in your news or branded content environment, please feel free to get in touch with me by email at steffen(dot)konrath (at) nextlevelofnews(dot)com.
MundusMedia :: Movimiento 15-M: the one-year anniversary of the protest movement in Spain is at the doorstep. Activists and protesters will once again flood the streets, with the Spanish authorities trying to confine their actions. Just as last year, online and especially social media will play an important role in what the world will witness. MundusMedia and Liquid Newsroom have teamed up to deliver news of both worlds online and offline during the events.
Mundus Media on Twitter
Details - Continue to read Torsten Müller | Steffen Konrath, www.mundusmedia.org
The Liquid Newsroom platform is moving forward! I just ordered my personalized and labelled organic (and environmental friendly!!!) t-shirt at georgefrank.de yesterday - yes, Frank and his team did a great job and here we are: Frank presented my own "LNR, liquid news room" t-shirt in his Shop in Munich today. Now, I really feel prepared to attend the Digital Innovator's summit and to report live from there.
Link to the shop (in German) - georgefrank.de
As I wrote in one of my last Liquid Newsroom posts, the LNR requires a news stream first.
Before covering a topic, you need to identify outstanding sources first. Sources you trust or you learn to trust and which you would like to monitor on a regular basis.
For "media" and "journalism" related news I currently monitor 104 sources - and I haven't mentioned Twitter, Facebook and Google+ yet. It is hard to get the latest news if you don't have some kind of early warning system in place. The screenshot on the left, shows you how the current input stream will be handled by a process, which listens to what's happening. The data points cover changes in the publishing pipeline of news sources and inform the system about new entries, which might be of interest.
Here's how the process of the Liquid Newsroom can be used to publish a summary (curated) article.
The last piece I published here on this blog today was a teaser for the "Sun on Sunday" article by Peter Preston. The original piece captured my interest as Rupert Murdoch's Sun on Sunday has been discussed by The Guardian for quite some days now.
The Guardian is one of the news sources I regularely monitor for media and journalism related news. That's why it is part of LNR's incoming stream of news items (left column, first screenshot next to this article). I selected the news item in the content stream in the LNR and its content appeared on the right.
Peter Preston was the first (the first I noticed) to comment and review Sun on Sunday's first edition. So there was enough reason to decide to write a teaser to be published on nextlevelofnews.com. That's my usual way of how to direct my readers to content I think's worth reading and/or, which I think should be discussed. To do so, I switched from "fast reading" to "editing" mode in the LNR.
The LNR works on an iPad as well, that's why I chose iPad views for the screenshots 1 and 2. It's quite usual for me to spend four to five hours per day on the road travelling. Time some might think wasted because it is hard to be productive. It's also not very convenient to boot my laptop everytime I like to read and edit something. It was natural to seek a mobile solution for this problem, that's why I decided to use a 1024 screensize for the LNR. That's the width Apple's iPad allows. An always-on connection (Internet flat rate) grants me access to the Internet and news, whenever I want.
The screen changes if you decide to enter editing mode (see screenshot 2). The content switches from right to left, and a WYSIWYG (what you see is what you get) editor appears. Now I can start to work on the summary. You decide upon the text for the headline and the body text. The LNR already adds a link to the original source.
There is no need to wait and to save a draft first in this case, so I click on "publish" and the article gets instantly published. A tweet is send to Twitter, and a post to Facebook simultaneously.
As you can imagine the whole process takes only a few minutes to complete.
Here's how it looks like on my PowerBook and my iPad:
The Liquid Newsroom for niches
Other scenarios: The LNR was build to provide a platform not only for collaboration but also for news curation. To start you have to set up the source map first, which becomes your input news stream. Afterwards it is quite easy to write, edit and publish news and to distribute the content via your blog or content management system in a smooth and consistent process.
What's your area of expertise?
Think of someone who would like to focus on cancer related content, e.g. research or experience reports. How easy it would be to browse through news headlines from sites providing interesting content and to provide summaries for your readers, so that they know what's worth to read from your perspective.
The content of your blog or news site gets even more traction if you add real-time sources to your source map, so that you can curate news with almost no time delay.
Do you remember what I wrote about the News3.0 flow of news among the people? - Imagine what would happen if you combine 2 or more blogs of people you are cooperating with. It would be easy to mash up content from your peers and to publish it via the Liquid Newsroom platform. That would create a whole new type of news sites. I will explain how the LNR fits into a News3.0 framework in more detail during the next days and posts.
If you like to know more or if you like to become part of the experiment, don't hesitate to get in touch with me - email@example.com
Many have asked me to explain if the Liquid Newsroom is a theoretical idea or a real platform.
"Yes" - It is a technical platform for fast, collaborative and real-time publishing of news (or general content). I have developed the model first theoretically but started to develop it also as a web based system quite sometime ago. Here is a screenshot of the current alpha I'm testing. The LNR delivers the short articles for this blog.
The Liquid Newsroom has different sections which I plan to develop over time. The newsroom - the screenshot you currently see on the left - is the part of the LNR which is meant to assist a journalist in reading a stream of news (left column) in its content area (right column). You can save items you need for more indepth articles later in the process or you can start to comment on each item on the fly.
The newsdesk (not shown here) is the part to foster collaborative journalism. It provides with an interface for writing articles in direct exchange with journalists on the ground. You can send real-time messages to direct them asking a reporter for more footage, or an interview with an eyewitness. Messages will be send to mobile devices and back to the web. The LNR was build to receive photos, video or text information from journalists at the scene, so that you can decide which material might help you enrich your article.
I wanted the graphical user interface (GUI) to be very pure and clean. The features and functionality it provides intend to optimize the whole editing process: it was build for really fast reading, editing, commenting and publishing. The LNR at its current stage delivers an output stream either to your own blog, to another content management system. The version I have implemented pushes content to my Typepad blog, which publishes articles instantly posting to Twitter and Facebook simultaneously as well.
If you like to know more or if you like to become part of the experiment, don't hesitate to get in touch with me via email at firstname.lastname@example.org
Yesterday I introduced three different roles: the sourcing expert, the beat curator, and the (data) analyst. Now it is time to look a little bit closer at how they should work together and how their work might fit into an overall process.
The Liquid Newsroom team manages and curates a constant flow of news from various sources: news organizations as much as tweets or blog posts from individuals. Not necessarily will the news enter the newsroom in chronological order. The sourcing expert is in charge to ensure a high quality of sources and she oversees the selection process of what should become part of the stream. A source can be completely unknown in the beginning. But the LNR will have a memory so that with more and more experience with a source, trust can grow over time. The little boxes in the process model on the left symbollize news items: e.g. one could be a tweet from someone in the Middle East, the second an article published by AP a few minutes ago and a third item might be a post on any of the most common social networks or video platforms (e.g. YouTube). Note: click the image to enlarge.
Therefore the whole LNR publishing process starts with some kind of input stream from a pool of sources. If you search for "Syria" on Google News you might get 28,000 results. But how do the articles differ? What additional information will a reader get if she doesn't only read "Activists demand ceasefire, aid access in Syria" (MSNBC) but also "'Friends of Syria' consider ultimatum to Assad"? (Seattle PI). The Google News search for "Syria" e.g. provides with an input stream. The beat curator decides about which parts of the input stream should become part of the topic (related news) stream. She also decides how to summarize or how to comment on news, tweets, etc. Readers should get an idea of what's happening taking into account different sources in one view. The Topic Stream is already the first stream to be published, whereas the input stream only represents LNR's internal flow of information.
Because the Topical Stream is published on a website, the (data) analyst can start to collect the first data in real-time. The analyst is keen to understand how the audience or the readers might interact with the news. How much will a news item be redistributed, retweeted, shared, liked? She's also in charge to manage the process of how to deal with comments and feedback, with concerns or questions. Most of the information from the feedback channel is invaluable. The feedback channel demands real communication: its main task is to foster two-way exchanges between the members of the newsroom, the readers AND the authors. What would happen if newsroom members would pass on the questions to the original authors of the news pieces, so that they can develope their story even further? - Based on the first analysis of readers' feedback the Edited Stream is also already a first mirror of the interest graph of the news consumer.
Enriched and Extended Stream are closely tied together. Both steps in the news editing value chain will help to enrich the news experience for the readers. Additional video footage or graphical material might help to gain an understanding of the story. The LNR instead will focus on the first three steps: Input Stream, Topic Stream and Edited Stream. The LNR team will pass the information on to another team of journalists and editors, who will work together closely to provide the reader with more background information etc. to be read on either appropriate devices (e.g. tablets) or any other publishing channel of interest.
If you like to know more or if you like to become part of the experiment, don't hesitate to get in touch with me - email@example.com
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