Eleet.fi suggests links based on what you’ve shared on Facebook

(Cross-posted from the Eleet.fi blog)

Hello and welcome to Eleet!

Eleet suggests links to you that you might be interested in, based on links that you and other people have shared on Facebook.

Please, have a look. The more active you are at sharing links on Facebook, the more interesting links we will be able to suggest to you.

‘Eleet’ is Finnish for ‘gestures’. http://eleet.fi is the first public link recommendation service built on a recommendation engine that is being developed through a project called ‘Project Gestures’.

Facebook is the first social web service from which we source shared links – or ‘gestures’ in our jargon. We plan to roll out similar integration with other major services on the Social Web, next up Twitter. Also, we want to enable you to submit any blog or RSS feed as a source of your on-line gestures. Just watch us 🙂

We will publish the source code of the engine’s core technology during September 2011.

During the spring of 2011, our project received recognition as it was selected to the finals of the first-ever ‘Uutisraivaaja’ (‘Newsplorer’) innovation contest sponsored by the Helsingin Sanomat Foundation.

The Foundation is linked to Helsingin Sanomat, one of Finland’s most influential daily news papers. Inspired by the Knight News Challenge in the United States, the contest “(…) seeks ideas for improving and renewing the distribution of information. (…)”

Our project was in part inspired by a tweet from New York University Journalism Professor Jay Rosen, who wrote while linking to one of our earliest blog post on the topic:

“Imagine a personal recommendation system for news based not on consumption habits but on your gestures: authoring and sharing.”

So, the fundamental underlying principle of our engine is that we don’t analyze what you click and read on-line, but what you write and share. When you share a link on Facebook, Twitter or on your blog, that is a very strong indication, or ‘gesture’, that the topic behind the link is relevant to you.

Well, ‘nuff said. Please, take our engine for a spin a let us know what you think!

Hello and welcome to Eleet!

Eleet suggests links to you that you might be interested in, based on links that you and other people have shared on Facebook.

Please, have a look. The more active you are at sharing links on Facebook, the more interesting links we will be able to suggest to you.

Background

‘Eleet’ is Finnish for ‘gestures’. http://eleet.fi is the first public link recommendation service built on a recommendation engine that is being developed through a project called ‘Project Gestures’.

Facebook is the first social web service from which we source shared links – or ‘gestures’ in our jargon. We plan to roll out similar integration with other major services on the Social Web, next up Twitter. Also, we want to enable you to submit any blog or RSS feed as a source of your on-line gestures. Just watch us 🙂

We will publish the source code of the engine’s core technology during September 2011.

During the spring of 2011, our project received recognition as it was selected to the finals of the first-ever ‘Uutisraivaaja’ (‘Newsplorer’) innovation contest sponsored by the Helsingin Sanomat Foundation.

The Foundation is linked to Helsingin Sanomat, one of Finland’s most influential daily news papers. Inspired by the Knight News Challenge in the United States, the contest “(…) seeks ideas for improving and renewing the distribution of information. (…)”

Our project was in part inspired by a tweet from New York University Journalism Professor Jay Rosen, who wrote while linking to one of our earliest blog post on the topic:

“Imagine a personal recommendation system for news based not on consumption habits but on your gestures: authoring and sharing.”

So, the fundamental underlying principle of our engine is that we don’t analyze what you click and read on-line, but what you write and share. When you share a link on Facebook, Twitter or on your blog, that is a very strong indication, or ‘gesture’, that the topic behind the link is relevant to you.

Well, ‘nuff said. Please, take our engine for a spin a let us know what you think!

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Borrowing your brain, your skill, your network

What follows is a draft email message to people in my network. If we know each other, move me to your spam whitelist and expect to receive one of these 🙂

[STARTS]

Subject: Borrowing your brain, your skill, your network

Hi!

I’m on cloud nine at the moment because of the recognition I received from the Helsingin Sanomat Foundation’s ‘Uutisraivaaja‘ innovation competition for my idea of a personal news recommendation engine based on on-line social gestures.

257 entries where submitted to the competition. 10 ideas have been selected to the Finals. I will be given 10,000 euros to prepare a presentation of my innovation at the Finals on September 15.

In a nutshell (from my application):

Gestures are ways in which web users respond to the information which they encounter, thereby indicating relevance. Gestures may include: subscribe, read, store, share, tag, rate, copy-share, send, comment, blog, micro-blog, pipe-through, link, approve/reject.

Every gesture contributes to a collective human news filter. The aggregate data can be used to inform a personal news offering to individual users.

For every pair of users in the system, the engine will calculate the proximity of their past gestures.

If user A and user B have a high proximity of past gestures, the next gesture user A will express will be highly relevant to the engine’s recommendation of news and information to user B; and vice versa.

While I’m not yet entirely sure how to go about it, here are some initial thoughts:

  • Create an open source software project which may outlive the duration of the competition;
  • Establish a foundation to manage and support the project and safeguard its open source nature;
  • Engage a Chief Engineer;
  • Engage a Chief Designer;
  • Engage a Chief Evangelist;
  • Engage logistical and other support people;
  • Engage (international) news organizations to sponsor the project;
  • Engage non-commercial organizations in the realm of news and journalism;
  • Engage educational institutions;
  • Explore governmental, non-governmental and philantropical funding;
  • Explore venture capital funding;
  • Build the core technology;
  • Design a compelling web/mobile user interface;
  • Design a convincing demonstration of a common use case scenario;
  • Build a browser plug-in;
  • Launch a web service featuring personal news recommendations;
  • Initiate pilot projects with one or more news organizations;
  • Nurture users and developers;
  • Give sponsors, developers, and anyone else who adds value to the project due credit on the website and elsewhere.

Okay, so why am I writing this to you? Because I’m taking the liberty of borrowing your brain, your skill, your network and/or your money. Specifically:

  1. What is the first thing that comes to your mind when reading all this?
  2. What do you like/dislike about the idea?
  3. What is the best advice you can offer?
  4. How would you go about securing success in the Finals?
  5. How would you budget the 10,000 euros?
  6. (How) would you like to contribute to this project?
  7. To whom would you turn for sponsoring, partnering, funding?
  8. Whom else should we get involved?
  9. Any funding models / business models that I have overlooked?

Any response is highly appreciated, either in the comments or by email to <jos@josschuurmans.com>.

In case you feel like reading up:

‘Gestures’, my idea for a social news recommendation engine, got further in the Helsingin Sanomat Foundation’s competition!
http://josschuurmans.com/2011/03/18/gestures-my-idea-for-a-social-news-recommendation-engine-got-further-in-the-helsingin-sanomat-foundations-competition/

My submission to Uutisraivaaja #fortherecord
http://josschuurmans.com/2011/03/09/my-submission-to-uutisraivaaja-fortherecord/

A hierarchy of gestures for the Holy Grail
http://josschuurmans.com/2011/02/18/a-hierarchy-of-gestures-for-the-holy-grail/

Booting up a personal recommendation system for news
http://josschuurmans.com/2011/02/18/booting-up-a-personal-recommendation-system-for-news/

Transcript of 9 minutes ‘Rebooting the News’, episode 82
http://josschuurmans.com/2011/02/17/transcript-of-9-minutes-of-rebooting-the-news-82/

[ENDS]

‘Gestures’, my idea for a social news recommendation engine, got further in the Helsingin Sanomat Foundation’s competition!

How cool is this?

I received a telephone call from Ulla Koski this afternoon, informing me on behalf of the Helsingin Sanomat Foundation that my submission to the Uutisraivaaja competition was selected to the second round by a jury meeting earlier today.

In this second round of the competition, the Foundation will hand me 10,000 euros to further develop my idea, ‘Gestures’. The ten entrants to the second round are invited to Sanomatalo in Helsinki on Wednesday morning, March 23.

So I expect to have more details on Wednesday.

Via Uutisraivaaja-kilpailun jatkoon päässeet on valittu:

Uutisraivaaja-kilpailun jatkoon päässeet on valittu tänään 18.3.2011 tuomariston kokouksessa. Kilpailuun osallistui 257 hakemusta ja jatkoon pääsivät seuraavat 10 projektia:

  • Nicolas Kayser-Bril: Influence Networks
  • Jussi Pullinen, Lauri Eloranta, Aleksi Moisio, Petro Poutanen: Murut
  • Niko Lappalainen: Collapic
  • Johannes Koponen: Huome.net
  • Hanna Harilainen: Virtuaaliketju pellolta lautaselle+Jaana Kokkonen, Lilli Linkola: Uutiskoodi = yhdistetty yhteisprojektiksi
  • Annikka Mutanen, Susanna Niinivaara: Tutkiva uutispalvelu Huuhkaja
  • Torsti Schulz, Joona Lassila, Stefan Richter, Martin Richter: Naapurisopu 2020
  • Olli Sulopuisto: Oma radio
  • Jos Schuurmans: Gestures
  • Kimmo  Mäkilä: Faktat oikein

Voittajat julkistetaan Säätiöpäivänä 15.9.2011.

A hierarchy of gestures for the Holy Grail

After transcribing the pertinent 9-minute passage from RBTN 82 and offering some conceptual input to the idea of developing a personalized recommendation system for news, I kept thinking about the different kinds of gestures in the mix.

So it might be useful to establish a hierarchy of on-line gestures, which can serve as signals indicating endorsement or recommendation.

1. Subscribe. To a feed, a publication, a newsletter. Or even the repeated act of visiting a service or a web site. That’s a gesture saying: this is potentially interesting to me. Or, in some cases: I know that this is interesting to me.

2. Read. As Doc Searls might say, when I read something, it means that I let it inform me. I let it “author” me. I’m voluntarily exposing myself to its influence. I hope or expect to gain something from acquiring the knowledge or information encapsulated in the article or story.

3. Store (and tag) privately. Make it findable for myself. It builds an archive of things that I’ve read. I find it worth documenting that I read it. And I expect that sometime in the future I might find it worth retrieving it and re-reading it or using it some way or another.

4. Share. For example on Google Reader, as I tend to do with news. In addition to making it findable to me, sharing the feed publicly is also something of an endorsement or recommendation. Or at least, it communicates to anyone interested that I have read this and found it worth putting that fact on the record. Twitter, Facebook, Dig, Reddit, StumbleUpon…

5. Tag publicly. Contribute to the public goods of findability and folksonomy. (Same services as above)

6. Rate. Personally I don’t rate content much. What’s the point? What’s the benchmark? Except Facebook “likes”, which kinda combines rating, tagging and sharing.

7. Copy-share. Arguably it takes a slightly bigger effort to copy content into a draft blog post, although “Press This” makes it almost as easy as any other browser bookmark.

All public gestures of sharing and tagging are instances of amplification. And as we know, amplification is the new circulation. When sharing, two things happen. One: I help this piece of content which I find interesting, to find more readers, to get more exposure. Two: I endorse it, because I kind of associate my name with it when I tweet it or put it on Facebook or on my blog.

But I don’t necessarily interpret it. It can be: this is interesting, an endorsement, a recommendation for reading. Or the purpose may just be to say, I am reading this kind of stuff. My mind is now working with this kind of stuff. So, thinking about the edges of the social networks, if someone else reads the same, finds it interesting, then maybe it’s something worth talking about.

It’s a message from me, indicating that I’m open to conversation about this topic.

8. Send the article (link) to someone I know, for whom I think it may be highly relevant. The threshold for making this gesture is quite high. It’s a strong gesture, and it’s also a very personal gesture, not a public one.

9. Comment on a blog post or news article. Nowadays I don’t often do that, because I think that if it is worth commenting on, it’s worth keeping that comment on my own side, on my own blog, on my own “infrastructure (as I think Dave would agree).

10. Blog about the topic I read, because I have something to add: interpretation, commentary, fact, opinion, context. Or to take it in an entirely new direction. The point here is to create original content. It can be a blog post, a tweet, a status update or what have you. For our purposes, in order for this to be a gesture it’s important to link back to the original article/post/story.

11. Possibly: pipe it through to a (possibly closed) special-interest community, e.g. on a LinkedIn group, a Ning site or some such.

[UPDATE, 2011-02-11, 13:47 : For some reason I had overlooked number 12. And number 13 was inspired by Richard Grusin‘s comment below:

12. Link inside a (micro)blog post to stuff that’s relevant to the topic at hand. In fact, links could well be the most important gestures that we should measure.

13. Approve/reject incoming blog comments or track backs. With this one, the negative signal of rejection might be the more significant one.]

Anything else?

These gestures inform the public or people in my on-line communities and on the Internet in general, as to which content gets through my personal cognitive filters, my interest filters, and therefore get amplified and possibly more widely distributed.

These gestures can be used as input for social recommendations. And that includes news. Why not? Actually, the concept of news is in itself quite fluid. A colleague of mine a couple of years back would define news as “something that is new to someone” – information which is new to someone. Looking at it that way, a lot of information can be news.

Booting up a personal recommendation system for news

As I mentioned yesterday, I’m a big fan of ‘Rebooting the News’. That goes for both meanings: I love the podcast series by Jay Rosen and Dave Winer; and I’m also totally intrigued by the phenomenal transition of our system of news which is happening right under our noses.

In the 9-minute passage of RBTN 82 that I transcribed, our hosts talk about an idea that Dave put forward in a recent blog post, ‘Find me stuff that I’m interested in‘. It’s a discussion about the concepts of a personal recommendation system for news, on Dave’s part inspired by collaborative filtering technology which underpins Amazon’s personal product recommendations.

Not only do I agree with all the conceptual choices that Jay and Dave favor, – such as avoiding categories, using gestures, using feeds, looking at other users’ previous behavior, including information about authoring as well as consumption, including serendipity… – ; I have actually been thinking about these exact concepts for years.

Now, I’m not going to say, “It’s all been done already”, because Dave would think I’m trying to pitch a product 🙂  Truth is, had it been done, we would all be using it. A personal system of highly relevant information is pretty much the Holy Grail of the Internet.

One potential complication with applying collaborative filtering to news content is that, when news breaks, there is no critical mass of gestures from previous users. This may cause some delay in the build-up of a recommendation. Instead of immediate, mass-scale amplification of the breaking news event, the news item might be a more slowly developing “trending topic” as per Twitter.

Also, when the news is very fresh, and its relevance is very personal (i.e. highly relevant to a small number of people), it may take too much time for a collaborative filtering system á la Amazon to collect sufficient gestures from other users in order to deliver the recommendation to the right people.

Therefore, rather than waiting for a new news item to pick up the critical mass which can enable collaborative filtering the Amazon way, we could instead look at the *history* of users’ gestures. If the stuff I have “gestured” in the past is very similar to the stuff you have “gestured” in the past, there is a likelihood that what you “gesture” next will be of interest to me.

So what I propose, instead of collecting many gestures from different users in order to generate a recommendation to one specific user, is to identify pairs of users whose gesture behavior is most similar, and let their behavior inform their mutual recommendations.

One could calculate a “similarity-percentage” for each combination of two users based on their gestures. With a view to serendipity, the ideal similarity is not necessarily approaching 100 percent. The system could offer users a feature to mix their own doses of serendipity. Want more off-beat news today? Turn the potmeter down to 70 percent signal and get 30 percent noise!

BTW, one headache which this idea would take care of is the eternal question: “What is news?” Whatever news means to you is defined by what you “gesture”. Hence the more accurate question to ask would be: “What is relevant?” or, indeed: “What is interesting?”

Like said, I’ve been pondering over this stuff for a while and I’d just love the opportunity to help make it happen.

Transcript of 9 minutes ‘Rebooting the News’, episode 82

I have listened to all 82 episodes of ‘Rebooting the News‘, the podcast series by Jay Rosen and Dave Winer. (This probably means that I’m their biggest fan and/or that I should get a life)

I felt an urge to transcribe the following 9-minute passage from episode 82, recorded on February 14, 2011. (More about that later)

Forgive the occasional typos and other glitches.

How is that for a gesture? 🙂

http://soundcloud.com/josschuurmans/rbtn82-9mins

[STARTING AT 04:43]

Jay Rosen: ‘Find me stuff that I’m interested in‘.

Dave Winer: Yeah, oh, that’s not a question for me, is it?

J: That’s an opening for our next theme here. This is something that’s interested you for a while; it’s interested me for a while.

D: I don’t know. No, actually this is a recent thing. This is recent. This is like the mantra, you know, when you are a product developer camped out in a category, you know – if you’re listening -, you know what people want. I mean, you get that short list of features that everybody wants and on that list are some thiings that you have no clue how to do. But you’re listening and trying to understand it. And *this* is at the top of the list.

Absolutely the one that you hear the most often is: ‘Just find me what I want.’ Now, my brain kinda turns off when I hear that, ’cause what I think is going to happen if you ever trust somebody to do that for you, they are not going to give you what *you* want; they are gonna give you what *they* want you to have.

That’s what I worry about, that you’re not gonna get… So, any diet of news that I’m interested in has to also include subscriptions to places that are going to give me news that I don’t know that I’m interested in.

J: That’s one of the problems.

D: Well, that’s easily solved, actually. Just take… but you know, here is the model. You might say that I’m addicted to Amazon. I just, like, in an idle moment, if there’s nothing happening in the world, I’ll go to Amazon, I’ll go through their recommendations, right?

J: Recommendations for what?

D: For products that they want me to buy. Things they want me to buy. So I can influence that, I can definitely influence it. Like, I was looking for a lamp a couple of weeks ago. And now they show me lamps. Or, I buy a lot of shirts through Amazon and… I always get shirts. I buy a lot of books, I get a lot of books. I’ve bought stereo equipment, computer nerd stuff, vitamins… This is an interesting mix…

J: It’s just reacting to what you bought before.

D: And I can manipulate it by just looking at things. I can inform them that this is an interest of mine. And they will start recommending things for me. I think, well, the epiphany was, why don’t we do this for news?

What we need is a way of expressing an interest in a news area, right?

J: Right.

D: In other words, the equivalent of looking at lamps. Or the equivalent of looking at cameras. Well, I look at a story about prince Charles, right? So, the system infers… Maybe I don’t look at a story, but I tweet a link to it.

J: Well that would be a stronger signal.

D: And maybe that’s the only signal I want it to use, is the fact that – and this is a way that I have become… I think of this as becoming my own editor-in-chief.

J: Yeah, I would love that. If it took everything that I tweeted…

D: Actually, you know, the technology…

J: That’s not a bad idea.

D: The technology here is…

J: It can’t be that far away.

D: It’s not far away. I was about to say, we know how to do this. This is like a well-worn path. It’s not something, not a whole lot of innovation, *no* innovation needed here.

The bad new is that, as far as I could tell, only one or two people reading that blog post understood what I was talking about. ‘Cause the responses that I got were like, oh that’s already been done.

J: People always say that.

D: They do. And they’re always wrong. Because usually they are the people who made the product and they are pitching it. They are trying to sneak in all their spam there.

So, I don’t know, if anybody listening to this wants to do this, just let me know. I want to do it. I’d like to get into a position to do this.

J: Every time I look at a product that [claims] to be able to do this, to send me a quote-unquote ‘personalized news stream’, the problem I find is that they have these pre-fab categories that represent what *they* think of as the significant divisions of news, right? Like: ‘business’. Well, I’m not interested in ‘business’.

D: That’s bogus. This is why I get bored, my eyes glaze over…

J: It’s a category of production, it’s not a category of use.

D: Correct.

J: And that’s the problem…

D: Do you know why it’s a problem for them, is that they’re not… First of all, this wouldn’t work for everybody. Okay? Let’s be clear about this.

J: Right. What I want is something that works for me.

D: Exactly. And you would be easy, because we already have a very good handle on your stuff.

J: [Well, I would be…]

D: We have it in a database. I have your links in a database, right?

J: Right.

D: So, building it for you would be easy. And you know, once you get a little critical mass thing going there, it is just self-maintaining. Because the things I link to, you know, if I have a hundred people in this mix, I can now do collaborative filtering. That’s the name for the technology you use here.

J: Right, so give me a quick sketch: what is collaborative filtering? I think I know, but…

D: ‘People who like this, also like this’. That’s the idea.

J: Right right right.

D: It’s like Facebook recommending friends to you. It has noticed that you and this person are friends with five other people. Therefore we might guess that you might like anybody that this person is a friend with. So we’ll start suggesting this to you.

[Technician:] …products…

J: Product, yes, Amazon does that.

D: News is a product just like that. There is no reason news can’t submit to this. Also there is another source of valuable information here that could be used is your blog. You know, I’ve been blogging for god know how long. That is an incredible base of information about my interests.

J: Right.

D: So, I’ve always said Google ought to take that into account. I ought to be able to tell Google, ‘Hey Google, this is my blog and I can prove it to you.’ Okay? Now I want… or, why should I have to prove it? All I’m saying is I want my search results to be customized for the author of this blog.

J: Right.

D: Period. You know, that’s how Google… Everybody says, oh, we need a new generation of search. Why hasn’t anybody tried this yet?

J: Right. So, instead of using consumption behavior as the signal, you use authoring behavior as the signal.

D: That’s correct. Yeah.

J: Now we’re cooking.

D: I think we’re definitely cooking. I think, this is a business model by the way that would work for editorial organizations because the way we evolve something like this requires an understanding of news. Which the tech industry typically, as you have noted, doesn’t really have.

J: And also, the more of your user base you have authoring, the better the recommendation engine gets.

D: Always. That’s exactly how this stuff works.

J: And that’s the incentive – right? – to get more people blogging at your site an recommending things and sending links and comments and… yeah.

D: Well I don’t want people blogging on anybody else’s site. ’cause I want them to operate their own infrastructure.

J: Right.

D: But we’ll get to that later.

J: But you could affiliate your blog with the news system you’re using and it could therefore learn from what you blog about […]

D: Oh, absolutely. Just give me the pointer to the feed. Or give me the pointer to the blog, from there you can get to everything. There is no… absolutely. But I think… just because you use Tumblr and I use Tumblr doesn’t mean we have anything in common as far as our interests are. […] the list of feeds that I subscribe to might give you another good idea.

J: Here’s what I like to do. I don’t read most 99% of the news or commentary written about the NBA. I’m not a big fan of the NBA. However, if anybody writes and article about race and the NBA, I want it. Because it’s like this hidden subject that almost never gets talked about. Like, black players, white players, white coaches, black players, the compositions, the racial mix, different ways that these things play out in the politics of the sport. Like, I’m totally fascinated by that. But, the system as it stands says, ‘Do you want NBA news?’ No, I only want ‘race and the NBA’-news.

D: You can’t… I think that the point here is that you could never ever customize… you can never be the editor-in-chief of your own news channel by setting up queries like that. It has to be done with gestures. It has to be inferred from…

J: ‘With gestures’. What do you mean by that?

D: Gestures would mean pointing to… pointing to an article is a gesture. Reading an article is also a gesture.

J: Right.

D: As you pointed out, pointing to intuitively feels as a stronger endorsement, a stronger gesture if you will.

J: Well, let’s move on. That’s definitely need.

[ENDING AT 13:53]

Police find killer dead after shooting spree in Finland, taking six lives

(Information based on Finnish media reports – see sources below)

Six people lost their lives today in a shooting spree in the Finnish city of Espoo, near the capital Helsinki.

Three men and a woman were shot dead in the Prisma super market store at the Sello shopping center, around 10 am Finnish time (= 8 am UTC). All four were employees at the store.

A fifth victim, the ex-spouse of the killer, was found dead in her home in Espoo. She was an employee of the Prisma store, too.

In a live broadcast press conference which started at 14:30 Finnish time (12:30 UTC), police revealed that the shooter, Ibrahim Shkupolli, born in 1966, had killed himself in his own home in Espoo. Shkupolli is a native Kosovo Albanian.

The shooter assassinated his victims with a 9 mm hand gun. A restraining order was in force against Shkupolli, to prevent him from approaching the Prisma store as well as the home of his ex-spouse.

He also had previous convictions, in 2003 and 2007, for illegal possession of fire arms and ammunition.

The exact motive of the killings is still under investigation.

Finland has a history of public massacres in recent years. Eleven people, including the shooter Matti Juhani Saari, died in a massacre at a vocational school in Kauhajoki, September 2008. Nine people, including the shooter Pekka-Erik Auvinen, died in a shooting incident on Wednesday at Jokela High School, in Tuusula, November 2007.

The following are my tweets, based on Finnish media reports. I'll copy-paste them here in chronological order:

Tweet: [Reading:] Sello Espoossa: Ainakin neljää ihmistä ammuttu – Suomi – Uutiset – Ilta-Sanomat http://ping.fm/vHvR8

Tweet: http://www.yle.fi Four people killed in Finnish shopping mail shooting #Finland #news #shooting

Tweet: Three men and a woman were killed in a shopping mall shooting in Finland this morning. #Finland #news #shooting

Tweet: Police know the identity of the shooter, male, born 1966. Motive as yet unknown. #Finland #news #shooting

Tweet: Shoot-out happened at Sello Prisma mall, city of Espoo near capital Helsinki #Finland #news #shooting

Tweet: Police were alarmed 10:08 am. Still looking for killer, who used a 9 mm hand gun. #Finland #news #shooting

Tweet: http://ping.fm/ET2pf Suspect, Ibrahim Shkupolli, is known to the police. Updated 11:30 UTC. #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Blog post: 'Another shoot-out in Finland: four people killed in shopping mall' #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Not 4, but 5 killed in Finnish shopping mall shooting; killer at large #Finland #news #shooting

Tweet: http://ping.fm/zHaYg 5th victim found dead in a private home in Espoo #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Killer still at large, "armed and dangerous" (Police) #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Shooting spree in Finland; five dead, killer at large #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Police: possibly 6 dead (not 5), possibly including the killer. #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Police have surrounded home of suspected killer #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Killer convicted for illegal arms posession 2003, 2007; restraining order #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Police have found the suspect killer, Ibrahim Shkupolli, dead #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Police find killer dead after shooting spree in Finland, taking six lives #Finland #news #shooting

Tweet: http://ping.fm/zHaYg Gunman in Finnish massacre Ibrahim Shkupolli was Kosovo Albanian #Finland #news #shooting

Tweet:

Sources:

Neljä kuoli ammuskelussa Espoon Sellossa – tekijä on edelleen kateissa | YLE (national public broadcaster)

Tässä on poliisin etsimä ampuja | MTV3.fi (national commercial TV channel)

Police press conference broadcast via YLE Areena