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#Tip of the day from Journalism.co.uk – data journalism checklist

August 16th, 2011 | No Comments | Posted by in Data, Top tips for journalists

Data Miner UK, aka Nicola Hughes, has compiled a very useful list on her site which can be used as a checklist by those interested in developing their work within forms of data journalism. They include legal boundaries to be aware of, resources of data stores and understanding the stories to be found behind statistics.

You can find her full list here.

Tipster: Rachel McAthy

If you have a tip you would like to submit to us at Journalism.co.uk email us using this link – we will pay a fiver for the best ones published.

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Currybet: There is a lot of data journalism to be done on riots

August 12th, 2011 | No Comments | Posted by in Data, Editors' pick

In a blog post today (12 August), information architect at the Guardian, Martin Belam, calls on journalists to make the most of the data now available in relation to the riots which took place this week.

He says using the data is “vital” and the resulting journalism will have the power to “help us untangle the truth from those prejudiced assumptions”. But he adds about the importance of ensuring the data is not misinterpreted in time to come.

The impact of the riots is going to be felt in data-driven stories for months and years to come. I’ve no doubt that experienced data crunchers like Simon Rogers or Conrad Quilty-Harper will factor it into their work, but I anticipate that in six months time we’ll be seeing stories about a sudden percentage rise in crime in Enfield or Central Manchester, without specific reference to the riots. The journalists writing them won’t have isolated the events of the last few days as exceptions to the general trend.

… There can be genuine social consequences to the misinterpretation of data. If the postcodes in Enfield become marked as a place where crime is now more likely as a result of one night of violence, then house prices could be depressed and insurance costs will rise, meaning the effects of the riots will still be felt long after broken windows are replaced. It is the responsibility of the media to use this data in a way that helps us understand the riots, not in a way that prolongs their negative impact.

Read his full post here…

This followed a blog post by digital strategist Kevin Anderson back on Sunday, when he discussed how the circumstances provide an opportunity for data journalists to work with social scientists and use data to test speculated theories, with reference to the data journalism which took place after the 1967 riots in Detroit.

… I’m sure that we’ll see hours of speculation on television and acres of newsprint positing theories. However, theories need to be tested. The Detroit riots showed that a partnership amongst social scientists, foundations, the local community and journalists can prove or disprove these theories and hopefully provide solutions rather than recriminations.

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BuzzData, a ‘social network for people who work with data’

Data gets its own social network today (2 August), with the launch of BuzzData, which its CEO describes as “a cross between Wikipedia for data and Flickr for data”.

BuzzData is due to launch in public beta later when Canada, where the start-up is based, wakes up.

It launched in private beta last week to allow a few of us to test it out.

What is BuzzData?

BuzzData is a “social network for people who work with data”, CEO Mark Opausky told Journalism.co.uk.

Users can upload data, data visualisations, articles and any background documentation on a topic or story. Other BuzzData users can then follow your data, comment on it, download it and clone it.

Members of the Toronto-based team hope the platform will be a space where data journalists come together with researchers and policy makers in order to innovate.

They have thought about who could potentially use the social network and believe there are around 15 million people who deal with statistics – whether that data be around sport, climate change and social inequalities – and who are “interested in seeing the data and the conversation that goes on around certain pieces of data”, Opausky said.

We are a specialised facility for people who wish to exchange data with each other, share data, talk about it, converse on it, clone it, change it, merge it and mash it up with other data to see what kind of innovative things may happen.

BuzzData does not allow you to create data visualisations or upload them in a way which makes beautiful graphics immediately visible. That is what recently-launched tool Visual.ly does.

How is BuzzData of use to journalists?

BuzzData allows you to share data either publicly or within a closed network.

Indeed, a data reporter from Telegraph.co.uk has requested access to see if BuzzData could work for the newspaper as a data-publishing platform, according to a member of BuzzData’s team.

Opausky explained that journalists can work by “participating in a data conversation and by initiating one” and gave an example of how journalism can be developed through the sharing of data.

It allows the story to live on and in some cases spin out other more interesting stories. The journalists themselves never know where this data is going to go and what someone on the other side of the world might do with it.

Why does data need a social network?

Asked what sparked the idea of BuzzData, which has secured in excess of $1 million funding from angels investors, Opausky explained that it was down to a need for such a tool by Peter Forde, who is chief technology officer.

He had spent many years studying the data problem and he was frustrated that there wasn’t some open platform where people could work together and share this stuff and he had a nagging suspicion that there was a lot of innovation not happening because information was siloed.

Going deeper than that, we recognised that data itself isn’t particularly useful until you can put it into context, until you can wrap it around a topic or apply it to an issue or give it a cause. And then even when you have context the best, at that point, you have is information and it doesn’t become knowledge until you add people to it. So his big idea was let’s take data, let’s add context and lets help wrap communities of people round this thing and that’s where innovation happens.

You can sign up for BuzzData at this link. Let us know what you think by leaving a comment below.

 

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Three tools to analyse Google searches: Correlate, Trends and Insights

June 22nd, 2011 | No Comments | Posted by in Data, Handy tools and technology

Google has three useful tools for journalists interested in looking at search trends over time, which also offer hours of fun for SEO enthusiasts. Google Correlate has been added to the list of analysis options within the past month, joining Insights and Trends which have been around for about three years.

Here is a brief introduction to each:

1. Google Trends works by you entering up to five search words and the results show how often those words have been searched for in Google over time. Google Trends also shows how frequently those search words have appeared in Google News stories, and in which geographic regions people have searched for them most.

For example, if you enter ‘Apple’ and ‘Windows’ you will see that ‘Windows’ is a far more popular search word, but when it comes to news, Apple appears in far more Google News stories. Evidence that journalists favour Apple stories than Windows ones, perhaps? Or do ‘Windows’ searches include vast numbers of people looking for double glazing?

Not only does Trends show you key events – such as the launch of the iPad – on the search volume time line, it also shows the volume of searches by country.

There is also a feature called Google Hot Trends which shows current searches and therefore hot topics.

2. Google Correlate, launched by Google Labs at the end of last month, is like Google Trends in reverse.

Correlate enables you to find queries with a similar pattern. You can upload your own data, enter a search query or select a time frame and get back a list of queries that follows a similar pattern to your search. You can also download the search results as a CSV file.

For example, if you enter the term ‘bikini’, Google Correlate will tell you a search term it closely correlates with is ‘caravan’, another being ‘Oakley sunglasses’. All are seasonal, so it is perhaps not that surprising those three searches correlate.

The inspiration behind Correlate was search patterns for flu (such as sore throat) correlating with peaks in actual flu activity. This comic book explanation tells the story brilliantly.

Another way of getting to grips with Correlate is having a go with this nifty drawing option. Simply drag and drop the pen and find out what searches match the time pattern you have drawn.

Be aware that Google Correlate uses US search data only, so it may be less useful to UK journalists. The New Scientist tested it out and it passed the magazine’s severe weather test and Google used it to track dengue fever hubs, the BBC reported.

3. Google Insights is one step up from Trends in terms of being able to provide a more detailed search. Results can be easily embedded in news stories.

One of the many useful things about Insights is it can be used to determine seasonality. For example, a ski resort may want to find out when people search for ski-related terms most often.

To see the potential of Insights look at example search comparisons, such as this one for Venus Williams and Serena Williams.

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#Tip of the day from Journalism.co.uk – getting data out of PDF files

June 10th, 2011 | No Comments | Posted by in Data, Top tips for journalists

In this post on his Help Me Investigate blog, founder Paul Bradshaw gives six ideas for ways to get data out of PDF files and unlock the information you need. Possible options include using Google Docs’ conversion facility, Document Cloud or the Data Science Toolkit. Tipster: Rachel McAthy.

To submit a tip to Journalism.co.uk, use this link – we will pay a fiver for the best ones published.

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#Tip of the day from Journalism.co.uk – tutorial for making Google charts

June 8th, 2011 | No Comments | Posted by in Data, Top tips for journalists

This Poynter ‘how to’ talks you through how to make searchable web-based Google charts for data visualisations. There’s also an embedded video visualising the steps. Tipster: Rachel McAthy.

To submit a tip to Journalism.co.uk, use this link – we will pay a fiver for the best ones published.



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Visualisation shows the topics New York Times journalists are writing about

The Visual Communication Lab, part of the IBM Center for Social Sofware has created a site to provide a visualisation to show what subjects New York Times journalists are writing about.

NYT Writes, created by research developer Irene Ros, allows users to enter a subject and see a visualisation of the journalists who have written on that subject.

This post on the VCL blog explains what the visualisation shows.

There are a few things that you will see once the search is complete. First, on the left side of the screen you will see a stack of bubbles at varying sizes. Each bubble represents a term, or “facet”, that was used to describe one or more articles containing your search query.

Facets get manually attached to each article by the New York Times staff. An article about “Tsunami” might be tagged as being about “Natural Disasters,” for example. The size corresponds to the relative amount of times that tag appeared comparing to all the other facets collected from all other articles in the query set.

You can mouse over each bubble to see the tag name appear in the middle as well as how much it appeared relative to the other facets below the stack itself. This stack could also represent what I call a “dedicated writer” – someone who only writes about one topic for 30 days would have a similar stack to this one.

You can try out NYT Writes at this link

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#Tip of the day from Journalism.co.uk – open data in local journalism

Over on the news:rewired site there are plenty of resources for those interested in open data on a local scale in this post, which also outlines some great examples of data journalism with a focus on ‘the local’. The topic is at the centre of debate for a session at news:rewired – noise to signal. Find out more here. Tipster: Rachel McAthy.

To submit a tip to Journalism.co.uk, use this link – we will pay a fiver for the best ones published.

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#bbcsms: Use data to inform newsroom decisions, says panel

May 20th, 2011 | No Comments | Posted by in Data, Online Journalism

“Numbers are everything to our business” – this was the message from Washington Post‘s Raju Narisetti, speaking today at the BBC’s social media summit.

Narisetti outlined the “simple mission” for news organisations to have more people to engage with more of its content, and this is achieved through data – both numbers and importantly, context.

We’ve moved from our anecdotal newsroom to a newsroom where there’s a lot more data, a lot more measurement. Initial measurement was page views, but we very quicky realised we need to move to a world of context.

Data is not just about measuring eyeballs – it is a valuable resource in making decisions. You’re able to show with some data things we can stop doing, Narisetti said, without making an impact on the readership. This he said makes an “accountable newsroom” and creates an environment which is a lot more encouraging for digital journalists where they know the impact of their work.

Also speaking on the panel, which covered the cultural challenges for newsrooms trying to encourage the effective use of social media, was the Guardian‘s Meg Pickard.

She revealed that research by the Guardian has shown that when a journalist gets involved in the conversation online it halves the moderation need and the tone of the conversation “goes up”. This is a key example of such data being used to support proposals and ideas.

As for the culture of the newsroom the Guardian wants to focus on people and skills, she said, to “create a fertile medium” across the organisation and then trusting staff to “act as the intelligent adults that they are” and apply their best knowledge and judgement to the situation.

But, she added, there’s no point in forcing anyone to be active on Twitter from the get-go.

We should not be forcing someone to Tweet, it will be obvious, they will be grumpy and won’t know what they’re doing. So I don’t think on your first day when you’re handed an email address they should be told that you’re free to say anything you like about our brand to the world.

Within the first few months I would try and encourage them to do so, but by demonstrating opportunities to build the community and relationship with audience.

Journalism.co.uk’s own digital journalism event news:rewired – noise to signal, which takes place on Friday next week at Thomson Reuters, will dedicate an entire session to the issue of audience data in informing editorial and business decisions for news organisations. You can find out more and buy tickets at this link.

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David Higgerson: Journalists must keep pushing for open data

May 19th, 2011 | No Comments | Posted by in Data, Editors' pick

David Higgerson, head of multimedia for Trinity Mirror Regionals, has published the address he made about data journalism at the FutureEverything conference in Manchester last week, making some interesting points.

Higgerson says that for journalists the biggest challenge is going to keep “pushing” for data to become available.

Councils have to issue details of all spending over £500 – but some councils have decided to publish all spending because it’s cheaper to do so. As journalists, we should push for that to happen everywhere.

FOI is key here. The more we ask for something under FOI because it isn’t freely available, the greater the chance its release will become routine, rather than requested. That’s the challenge for today’s data journalists: Not creating stunning visualisations, but helping to decide what is released, rather than just passively accepting what’s released.

Read his post in full here…

Journalism.co.uk is running a one-day digital journalism conference looking at data in the news industry next week at Thomson Reuters. news:rewired – noise to signal will take place on Friday 27 May. You can find out more information and buy tickets by following this link.

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