WEBVTT - Inside a Local Newspaper's Fight to Survive

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<v Speaker 1>It's eleven am in the newsroom of the Bourne Myth

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<v Speaker 1>Daily Echo, a local newspaper in the south of England,

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<v Speaker 1>One More Lucky, which which is a very strong story.

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<v Speaker 1>The editors are trying to decide which stories to run

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<v Speaker 1>in the newspaper and on the echoes website, which these

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<v Speaker 1>days might be more important. Technology is changing all of

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<v Speaker 1>our jobs, whether we like it or not, and journalism

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<v Speaker 1>is certainly no exception. There are now far fewer jobs

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<v Speaker 1>in local news right to put them mildly, the internet

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<v Speaker 1>has pretty much busted the media business model. Yeah, and

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<v Speaker 1>journalists they are left. I've had to learn new skills.

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<v Speaker 1>When you're in you have to you you adapt or

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<v Speaker 1>you don't surve. The Echo has worked hard to take

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<v Speaker 1>advantage of new technology. But is the editor Andy Martin

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<v Speaker 1>told you, Jeremy, the paper is struggling financially. You know

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<v Speaker 1>me know that revenues walked out the door to a

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<v Speaker 1>lot of other places in the last ten years, and

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<v Speaker 1>we haven't quite got our business model right in terms of,

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<v Speaker 1>you know, getting people to pay for online news. Yeah,

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<v Speaker 1>that's right. Faced with collapsing budgets, the Echo has had

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<v Speaker 1>to let go about of its staff that's made it

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<v Speaker 1>harder for the paper to fulfill its traditional role of

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<v Speaker 1>holding people in power to account. Now, the founders of

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<v Speaker 1>a service funded by Google say they can help local

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<v Speaker 1>journalists produce more stories without adding more people, but it's

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<v Speaker 1>raising new fears even as it tries to solve full problems. Hi,

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<v Speaker 1>I'm brad Stone and I'm Jeremy con and this week Undercrypted,

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<v Speaker 1>we're taking a look at how one local newspaper is

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<v Speaker 1>grappling with new technology and its struggle to survive. There

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<v Speaker 1>are only about twenty editorial staff left now at the

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<v Speaker 1>Bournemoth Daily Echo, a paper that want it close to

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<v Speaker 1>a hundred journalists when Andy, the editor, first started. That's

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<v Speaker 1>been a painful transition for The Echo, and one that's

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<v Speaker 1>played out around the world as journalists have watched jobs disappear.

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<v Speaker 1>Artificial intelligence is one technology that could help newsrooms like

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<v Speaker 1>The Echo survived with shrinking budgets, but could automation, which

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<v Speaker 1>initially looks like an added convenience, ultimately end up taking

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<v Speaker 1>even more jobs stay with us that deminate So jar me,

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<v Speaker 1>you actually went down to board with recently. Yeah, I

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<v Speaker 1>took the train down from London on a chilly morning

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<v Speaker 1>in February. So I'm imagining sort of the Cleveland of England.

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<v Speaker 1>What's born With like, Well, it's not quite Cleveland. Um.

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<v Speaker 1>It's on the south coast of England and it's a

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<v Speaker 1>summer tourist destination, has a boardwalk and a fair ground

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<v Speaker 1>along the seafront. Um. But the city also hosts the

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<v Speaker 1>back offices of some big banks like JP Morgan, and

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<v Speaker 1>it's got the headquarters of a few industrial companies and

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<v Speaker 1>the born With Echo that's the region's main newspaper. Yeah,

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<v Speaker 1>that's right, and it's published from this big Art Deco

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<v Speaker 1>building with a small clock tower in the heart of

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<v Speaker 1>the city. And he did, hey, Jerry, Yeah, Andy, the

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<v Speaker 1>Echoes editor came out to meet me. He looks like

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<v Speaker 1>a grizzled newspaper writer you've seen a film, with the

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<v Speaker 1>steely gaze and a shock of white hair. He led

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<v Speaker 1>me through the bowels of the building and up into

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<v Speaker 1>a big conference room with glass windows that look out

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<v Speaker 1>over the Echoes newsroom. How many years have you you've

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<v Speaker 1>been here at the Echo? Well, this embarrassing. I'm being

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<v Speaker 1>here about thirty years in April. Wow, Um, what was

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<v Speaker 1>your first day here? Like? I can really remembered the

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<v Speaker 1>old style smoke field newsrooms, people you know, slamming your

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<v Speaker 1>phones down and the saner time writers at the time

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<v Speaker 1>in the late eighties, the newsroom was big. Years ago,

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<v Speaker 1>there would have been a hundred editorial staff here. We

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<v Speaker 1>used to have the print depressors. You hear the wrong

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<v Speaker 1>of the primes going up for the first edition of

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<v Speaker 1>the second edition to go down and get a couple

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<v Speaker 1>of paper. We get your boak in sandwich come back

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<v Speaker 1>out of paper. This was a different time for the

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<v Speaker 1>newspaper industry. The born With Daily Echo had a small

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<v Speaker 1>number of district offices and it would send reporters like

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<v Speaker 1>Andy on international assignments too, for about twenty years, so Cyprus, Kossovo,

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<v Speaker 1>the Balkans, Bosnia, Belize, Northern Ireland. So I'd got a

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<v Speaker 1>lot of tours of you know, not tours of duty,

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<v Speaker 1>but at at with the boys, you know, sort of

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<v Speaker 1>week two weeks long. After a few years he became

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<v Speaker 1>an editor on the news desk and as Andy was

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<v Speaker 1>climbing the mast out of the Echo, something happened the

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<v Speaker 1>mid nineteen nineties that would change print journalism forever. The

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<v Speaker 1>Internet back in the glory days local papers had four

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<v Speaker 1>main revenue streams newsstand sales, subscriptions, display, advertising and classified.

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<v Speaker 1>The Internet undercut all four. For example, news Quest Media,

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<v Speaker 1>which owns the Bournemouth Daily Echo, made a profit of

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<v Speaker 1>a hundred and sixty seven million pounds in two thousand

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<v Speaker 1>and three. By that number was just twenty three million

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<v Speaker 1>pounds ouch, so one seventh of what it once was.

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<v Speaker 1>That's right. And as profits slumped, the Echo has had

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<v Speaker 1>to shed staff. So you're talking reporters, you're talking photographers.

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<v Speaker 1>Some of those cuts happened through attrition, people who left

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<v Speaker 1>or retired simply weren't replaced, but there have also been

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<v Speaker 1>deep rounds of layoffs photographers, probably five or six reporters,

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<v Speaker 1>a couple of support staff. Um. So yeah, that's been

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<v Speaker 1>it's been the toughest part of the job, um, in

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<v Speaker 1>the last few years. I've been here from very long time.

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<v Speaker 1>I started at ninety fours up twenty three years. Corn

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<v Speaker 1>Messer joined the Echo as a dark room assistant. At

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<v Speaker 1>that time the paper had six staff photographers. Now Corren

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<v Speaker 1>is the only one left. The last he's seen the

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<v Speaker 1>staff was left in September, which increases one of those.

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<v Speaker 1>He was here the day that I started. He you know,

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<v Speaker 1>I gave the speeches leaving the was that that was very,

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<v Speaker 1>very upsetting. Often Andy has been forced to let go

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<v Speaker 1>of staff he's been working alongside for ten fifteen years,

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<v Speaker 1>and his own role has had to expand to fill

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<v Speaker 1>some of the gaps. Well, I'm the editor, I'm also

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<v Speaker 1>the head of news, but i'm also well today I'm

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<v Speaker 1>essentially the content manager. So I'm doing all the pages today.

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<v Speaker 1>So it's um this sort of about four or five

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<v Speaker 1>jobs rolled up in one to be honest, these days,

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<v Speaker 1>in a in a regional news room. Despite that, Andy

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<v Speaker 1>has tried hard not to cut essentral areas of coverage.

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<v Speaker 1>Role first and foremost. First and foremost is the whole

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<v Speaker 1>people's account, whether it's hospitals, the police, fire service, local authorities,

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<v Speaker 1>any public institution. That's what we're here for. But he

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<v Speaker 1>admits there are some things he can't do anymore. You know,

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<v Speaker 1>we can't now say to someone, Okay, go off and

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<v Speaker 1>research that, investigate that story for two or three days.

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<v Speaker 1>Be off diary and at the echo, as it's so

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<v Speaker 1>many newspapers, the threat of more layoffs still looms in

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<v Speaker 1>the background. You know what what what's the next thing

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<v Speaker 1>that's going to be thrown at me, you will have

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<v Speaker 1>to make more savings. So I think it's kind of

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<v Speaker 1>just made. I think that keeps me awakenizes really keeping

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<v Speaker 1>all the plates spinning and the finances. I think Rooney Now.

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<v Speaker 1>A few months ago, one of Andy's bosses told him

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<v Speaker 1>about a new type of technology that could perhaps help.

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<v Speaker 1>It's an intelligent software that could provide Andy the kind

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<v Speaker 1>of low news stories that he desperately needs, but that

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<v Speaker 1>in recent years he hasn't really had the staff to report.

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<v Speaker 1>And right at first, Andy was wary. Until now technology

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<v Speaker 1>has been more of a job killer for the news

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<v Speaker 1>industry than anything else. Well, I mean, you know, I'm

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<v Speaker 1>obviously naturally skeptical about everything and even in our own industry,

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<v Speaker 1>but Andy was also curious. I'm always open to looking

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<v Speaker 1>at new ideas of new ways of getting information. The

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<v Speaker 1>Echo has had no choice but to embrace digital technology

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<v Speaker 1>and social media in recent years, and now it's become

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<v Speaker 1>one of the first British newspapers to participate in something

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<v Speaker 1>called Project Radar. That's how I ended up in another

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<v Speaker 1>news organization, this time in London. The Press Association was

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<v Speaker 1>built to provide national news coverage for the UK's local papers.

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<v Speaker 1>Here in Britain people call it the p A. I

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<v Speaker 1>went to see Peter Clifton, the p a's editor in chief.

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<v Speaker 1>The PA is facing its own battle to adapt to

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<v Speaker 1>changing times. Now that most people get their news online,

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<v Speaker 1>local papers need less national coverage. I think they've all

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<v Speaker 1>become increasingly focused on trying to serve their local audience

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<v Speaker 1>with more and more local content. Then through in All

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<v Speaker 1>the Queens, Peter heard about a London startup called Herbs

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<v Speaker 1>Media that was founded by two news industry veterans, Alan

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<v Speaker 1>Renwick and Gary Rogers. Here's Gary. I started my career

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<v Speaker 1>in local newspapers and I did that for three years

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<v Speaker 1>of my life and then took a attorney to television.

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<v Speaker 1>Between them, they've got more than fifty five years of experience.

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<v Speaker 1>The consumption of news has changed dramatically and radically, but

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<v Speaker 1>if you looked at the business of how news is produced,

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<v Speaker 1>actually very little has changed. It still requires a journalist

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<v Speaker 1>to go and find a story and go and meet people,

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<v Speaker 1>and it requires phone time and shoe leather, and good

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<v Speaker 1>journalism requires that. In Alan and Gary had a brain wave,

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<v Speaker 1>but we were looking at whether there was another way

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<v Speaker 1>to produce good journalism that would be a little less

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<v Speaker 1>labor intensive. They decided to focus on large government data

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<v Speaker 1>sets that had figures on things like bike theft and

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<v Speaker 1>childhood obesity, and so we were quite interested in sets

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<v Speaker 1>of crime data at the time. They thought they could

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<v Speaker 1>take a single data set and get dozens or even

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<v Speaker 1>hundreds of local stories from it. I can't remember whether

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<v Speaker 1>it was me or Alan come up with this smart

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<v Speaker 1>idea of why didn't we do a snapshot crime profile

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<v Speaker 1>of every borough. Borough is a city district, London has

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<v Speaker 1>thirty three of them. So we started with the humans

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<v Speaker 1>otherwise known as Me and Garret. But the amount of

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<v Speaker 1>data they had to crawl through soon became a problem,

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<v Speaker 1>and I wrote about ten and I started to lose

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<v Speaker 1>the will to live. Each story was basically the same,

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<v Speaker 1>but every neighborhood had different numbers. It became extremely repetitive

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<v Speaker 1>and very boring. We both began to think there must

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<v Speaker 1>be an easier way to do this, and we came

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<v Speaker 1>across something called natural language generation, and as a way

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<v Speaker 1>to try to turn data into texts. Natural language generation

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<v Speaker 1>is a kind of artificial intelligence that can write whole

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<v Speaker 1>reports based on data the way Gary and Allen have

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<v Speaker 1>designed their program, a human journalist still needs to write

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<v Speaker 1>the basic template for a particular data set. Then the

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<v Speaker 1>software fills in numbers and tweets the language so that

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<v Speaker 1>each story can make sense. I don't know, Jeremy, can

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<v Speaker 1>the software really convey the nuance and the perspective of

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<v Speaker 1>of an actual human journalist. Well, these stories that will

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<v Speaker 1>see later are kind of dry. I mean, they're they're pretty,

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<v Speaker 1>They're written pretty straight. That sounds like it can't potentially

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<v Speaker 1>solve a problem for newspapers. Yeah. The idea here, and

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<v Speaker 1>what Peter thought is that this new way of writing

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<v Speaker 1>stories might help his newsroom create more local stories. Um

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<v Speaker 1>and he decided he was going to team up with Herbs,

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<v Speaker 1>and together they created this thing called Project radar. Okay,

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<v Speaker 1>why project radar, Well, it turns out it's an acronym,

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<v Speaker 1>not a very great one. It stands for reporters and

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<v Speaker 1>data and robots. The project received a seven thousand euro

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<v Speaker 1>grant from Google's European Digital News Initiative to help it

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<v Speaker 1>get off the ground. Interestingly, Peter's own team got nervous

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<v Speaker 1>about this robot taking their jobs. I am probably and

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<v Speaker 1>wisely made a speech at the Society of Editor's conference

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<v Speaker 1>last year where I this This was only really a

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<v Speaker 1>glimmer at that point, but all I said at that

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<v Speaker 1>conference was that we would be looking at automation. One

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<v Speaker 1>of the industry websites immediately had a headline of about

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<v Speaker 1>robots taking over at p A And by the time

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<v Speaker 1>I got back to work, they've built a robot cardboard

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<v Speaker 1>cardboard boxes and put it in my seat. Peter and

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<v Speaker 1>the guy at HERBS insisted that nobody's job is going

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<v Speaker 1>to be lost because of Project Radar. Just like your

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<v Speaker 1>world process. I can just sit on your desk as

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<v Speaker 1>a tool you used to write what Gary is saying.

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<v Speaker 1>It is probably true today. I wonder they'll cheremy if

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<v Speaker 1>it will be true tomorrow as the technology inevitably evolves. Yeah,

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<v Speaker 1>that's that is how you consider this kinde of technology

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<v Speaker 1>has a tendency to get more capable over time, and

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<v Speaker 1>what it can do it keeps improving. Okay, well, after

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<v Speaker 1>the break, the Bournemouth Daily Echo starts receiving stories from

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<v Speaker 1>Project Greater and it raises an old fear for Andy

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<v Speaker 1>as he starts trying to use the automated stories. Back

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<v Speaker 1>in Bournemouth. I walked through the video arcade on the

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<v Speaker 1>Bournemouth Pierre Jermy, why were you in a video arcade? Well,

0:13:38.840 --> 0:13:41.000
<v Speaker 1>that's a good question. These arcades tend to be a

0:13:41.000 --> 0:13:43.680
<v Speaker 1>fixture of British seaside towns and I was actually on

0:13:43.720 --> 0:13:47.000
<v Speaker 1>my way to visit another beloved British institution, the local

0:13:47.000 --> 0:13:52.040
<v Speaker 1>fish and chip shop. My name is Chloe and I'm

0:13:52.080 --> 0:13:54.920
<v Speaker 1>the assistant manager here Harry Robson's. And it says on

0:13:54.960 --> 0:13:56.880
<v Speaker 1>the science of world famous fish and chip shop? What

0:13:56.960 --> 0:13:59.560
<v Speaker 1>is it? What is it famous for? It's famous for

0:13:59.720 --> 0:14:03.040
<v Speaker 1>us secret recipe that we have hair in staff, which

0:14:03.040 --> 0:14:05.319
<v Speaker 1>you can't tell me what it is, I suppose unfortunately

0:14:05.360 --> 0:14:08.199
<v Speaker 1>I can't. Chloe said she's a loyal reader of the

0:14:08.240 --> 0:14:11.400
<v Speaker 1>Bournemouth Echo and she especially likes the traffic updates on

0:14:11.440 --> 0:14:14.600
<v Speaker 1>its website, especially with the amount of roadworks that we

0:14:14.600 --> 0:14:16.480
<v Speaker 1>haven't borne from the moment. The online one is always

0:14:16.520 --> 0:14:18.240
<v Speaker 1>up to date, so you knew where they are, what

0:14:18.280 --> 0:14:20.120
<v Speaker 1>times are happening and stuff like that. So is that

0:14:20.160 --> 0:14:22.400
<v Speaker 1>a big issue of roadworks and congestion? And I think

0:14:22.640 --> 0:14:24.680
<v Speaker 1>at the moment yes, because there's quite a lot so,

0:14:24.960 --> 0:14:28.720
<v Speaker 1>especially recently, the Bournemouth Echo ran a storytelling readers just

0:14:28.800 --> 0:14:31.360
<v Speaker 1>how much of their lives were wasted in traffic jams

0:14:31.360 --> 0:14:34.000
<v Speaker 1>in an average year. So the congestion one, which showed

0:14:34.080 --> 0:14:36.800
<v Speaker 1>us just how long emotives would spend in a traffic

0:14:36.880 --> 0:14:39.880
<v Speaker 1>jam in an average week or an average year in

0:14:39.960 --> 0:14:43.720
<v Speaker 1>the context of the restructure of the local area, is

0:14:43.720 --> 0:14:46.520
<v Speaker 1>one that was particularly interesting. That story, and he's talking

0:14:46.560 --> 0:14:49.440
<v Speaker 1>about it came from Project Radar. I think it's been

0:14:49.440 --> 0:14:52.880
<v Speaker 1>a help um in terms of, you know, statistics that

0:14:52.920 --> 0:14:56.280
<v Speaker 1>we wouldn't ordinarily be able to access or have have

0:14:56.360 --> 0:14:59.760
<v Speaker 1>the time to assess. I guess, But he says, some

0:15:00.040 --> 0:15:03.520
<v Speaker 1>Project Radars computer generated stories still require a bit more work.

0:15:04.000 --> 0:15:06.840
<v Speaker 1>I wouldn't necessarily say yes, I think that's been written

0:15:06.840 --> 0:15:09.040
<v Speaker 1>by a computer. I would just say it's been written

0:15:09.080 --> 0:15:11.840
<v Speaker 1>really straight. So he might ask one of his staff

0:15:11.880 --> 0:15:14.840
<v Speaker 1>to get reaction quotes from a local official or from residents,

0:15:15.360 --> 0:15:17.440
<v Speaker 1>or to punch up the writing to make it more lively.

0:15:18.120 --> 0:15:19.920
<v Speaker 1>Should we do you have an example about one of

0:15:19.920 --> 0:15:23.960
<v Speaker 1>these Project Radar stories. Actually sounds like yeah, sure, here's

0:15:23.960 --> 0:15:26.520
<v Speaker 1>one about juvenile crime that Project Radar produced, and the

0:15:26.560 --> 0:15:29.840
<v Speaker 1>Bourne Meth Echo actually ran. Young people in Pool are

0:15:29.840 --> 0:15:32.400
<v Speaker 1>significantly less likely to be cautioned or convicted for a

0:15:32.440 --> 0:15:35.040
<v Speaker 1>first offense than they were ten years ago. Changes in

0:15:35.080 --> 0:15:38.400
<v Speaker 1>police policy and overall fallen crime has seen an eighty

0:15:38.440 --> 0:15:40.760
<v Speaker 1>four percent drop in the number of youngsters entering the

0:15:40.800 --> 0:15:44.480
<v Speaker 1>criminal justice system. According to statistics from the Ministry of Justice.

0:15:44.960 --> 0:15:47.840
<v Speaker 1>In the two thousand and six oh seven financial year,

0:15:48.080 --> 0:15:50.880
<v Speaker 1>two fifty two children between the ages of ten and

0:15:51.000 --> 0:15:53.960
<v Speaker 1>seventeen were convicted or cautioned by police for the first time,

0:15:54.400 --> 0:15:58.680
<v Speaker 1>but by seventeen there were just forty one. We are

0:15:58.720 --> 0:16:01.360
<v Speaker 1>well should have had you read that in your Alexa voice,

0:16:01.600 --> 0:16:05.840
<v Speaker 1>But you know it's it's interesting, but certainly not brimming

0:16:05.880 --> 0:16:09.360
<v Speaker 1>with writerly sensibilities. But it's interesting because this is probably

0:16:09.360 --> 0:16:11.800
<v Speaker 1>not the kind of thing that the Andy Ors reporters

0:16:11.800 --> 0:16:16.600
<v Speaker 1>could have done on their own. Okay, so Andy is

0:16:16.680 --> 0:16:19.760
<v Speaker 1>using these stories of the Bournemouth Echo and finding them useful,

0:16:20.160 --> 0:16:22.320
<v Speaker 1>Yeah he is, But out of a d twenty five

0:16:22.360 --> 0:16:25.000
<v Speaker 1>stories that they publish every week, only about to come

0:16:25.040 --> 0:16:27.880
<v Speaker 1>from Project Radar. Oh wow, Okay, so that's not much

0:16:27.880 --> 0:16:30.360
<v Speaker 1>at all. No, and Andy told me he's worried about

0:16:30.440 --> 0:16:33.040
<v Speaker 1>using the service too much. Well, we to be looking

0:16:33.080 --> 0:16:35.440
<v Speaker 1>at doing them, or that it would it would It

0:16:35.480 --> 0:16:38.320
<v Speaker 1>would for people if you use too many of them,

0:16:38.320 --> 0:16:41.280
<v Speaker 1>that you'd worry that your bosses or somebody would say

0:16:41.360 --> 0:16:44.480
<v Speaker 1>you may not need that many staff be a little

0:16:44.480 --> 0:16:47.480
<v Speaker 1>bit a little bit worried about about them. So even

0:16:47.480 --> 0:16:50.320
<v Speaker 1>though the p A and Herbs insists the Project Radar

0:16:50.440 --> 0:16:53.280
<v Speaker 1>is about helping us do our jobs better, Andy is

0:16:53.320 --> 0:16:56.280
<v Speaker 1>still worried that in his newsroom this technology could take

0:16:56.280 --> 0:16:59.120
<v Speaker 1>away even more jobs. Yeah. I think that's always a

0:16:59.120 --> 0:17:01.760
<v Speaker 1>concern with AI because it gets better and better all

0:17:01.800 --> 0:17:04.280
<v Speaker 1>the time. As we said earlier, how good is it

0:17:04.359 --> 0:17:08.359
<v Speaker 1>the writing podcast scripts, Lucky for us, is not that

0:17:08.400 --> 0:17:10.400
<v Speaker 1>good yet. But the fact is this is a very

0:17:10.400 --> 0:17:13.399
<v Speaker 1>new and interesting area of technology and it's maturing fast.

0:17:13.640 --> 0:17:16.359
<v Speaker 1>But the specter of even more job cuts hasn't deterred

0:17:16.400 --> 0:17:20.680
<v Speaker 1>the news industry from experimenting with computer generated articles. Lots

0:17:20.680 --> 0:17:23.399
<v Speaker 1>of organizations are trying versions of this now, like the

0:17:23.440 --> 0:17:25.919
<v Speaker 1>Associated Press here in the US, which is working with

0:17:25.960 --> 0:17:29.760
<v Speaker 1>a company called Automated Insights on writing simple financial stories.

0:17:30.080 --> 0:17:32.600
<v Speaker 1>That's right, and the Washington Post has a software called

0:17:32.640 --> 0:17:36.000
<v Speaker 1>Heliograph to write stories on everything from high school football

0:17:36.000 --> 0:17:39.040
<v Speaker 1>games to US congressional elections. And we should also say

0:17:39.040 --> 0:17:41.800
<v Speaker 1>that even here at Bloomberg, our own team of Quotas

0:17:41.840 --> 0:17:44.720
<v Speaker 1>has created software that can take corporate earnings reports or

0:17:44.760 --> 0:17:49.160
<v Speaker 1>stock price movements and automatically generate news stories from them. Yeah.

0:17:49.160 --> 0:17:51.840
<v Speaker 1>It's pretty crazy what this technology can do. But I'm

0:17:51.880 --> 0:17:53.320
<v Speaker 1>pretty happy we don't have to write some of those

0:17:53.320 --> 0:17:56.560
<v Speaker 1>earning stories anymore. Yeah, me too. And actually, on that point,

0:17:56.840 --> 0:17:59.280
<v Speaker 1>I mean, I hope I'm not expressing the hubrists of

0:17:59.320 --> 0:18:02.920
<v Speaker 1>a human here, but I do wonder if the AI

0:18:03.000 --> 0:18:06.119
<v Speaker 1>can kind of replace the you know, the creativity and

0:18:06.160 --> 0:18:10.119
<v Speaker 1>the storytelling of an actual journalist. Yeah. I mean, I

0:18:10.160 --> 0:18:12.320
<v Speaker 1>think there's a lot that these these types of programs

0:18:12.359 --> 0:18:13.919
<v Speaker 1>are never going to be able to do. They're not

0:18:13.960 --> 0:18:16.280
<v Speaker 1>really going to be able to do investigative reporting and

0:18:16.400 --> 0:18:19.240
<v Speaker 1>narrative storytelling, right articles with the beginning of middle and

0:18:19.280 --> 0:18:21.919
<v Speaker 1>an end and that the you know, convey some nuance

0:18:21.960 --> 0:18:25.360
<v Speaker 1>about a character. Yeah, I think that would be very difficult.

0:18:25.359 --> 0:18:27.280
<v Speaker 1>It's certainly the way some of these programs are set up.

0:18:27.520 --> 0:18:29.480
<v Speaker 1>But they are getting more sophisticated all the time. And

0:18:29.480 --> 0:18:31.720
<v Speaker 1>I know that there are some researchers working on on

0:18:31.760 --> 0:18:34.639
<v Speaker 1>this type of technology and academia who think you could create,

0:18:34.760 --> 0:18:37.080
<v Speaker 1>you know, a narrative structure, at least teach these programs

0:18:37.119 --> 0:18:39.840
<v Speaker 1>to create a narrative structure. Now you're getting a little

0:18:39.880 --> 0:18:42.560
<v Speaker 1>too close to home. But let me ask you, Jeremy,

0:18:42.600 --> 0:18:44.680
<v Speaker 1>I mean, is there a reason to worry that if

0:18:44.720 --> 0:18:47.400
<v Speaker 1>the AI is doing the kind of grunt work stories,

0:18:47.800 --> 0:18:51.520
<v Speaker 1>that some perhaps young reporters aren't getting the kind of training,

0:18:52.000 --> 0:18:53.680
<v Speaker 1>you know, being able to cut their teeth on these

0:18:53.760 --> 0:18:56.800
<v Speaker 1>kinds of stories because the AI is taking over. Yeah,

0:18:56.840 --> 0:18:58.040
<v Speaker 1>I mean, I think it's a bit of a double

0:18:58.080 --> 0:19:00.359
<v Speaker 1>edged sword. On the one hand, it means that those

0:19:00.440 --> 0:19:02.439
<v Speaker 1>those entry level reporters don't have to do a lot

0:19:02.480 --> 0:19:03.960
<v Speaker 1>of that grunt work, and maybe they don't get his

0:19:04.040 --> 0:19:06.240
<v Speaker 1>board with the job and maybe they get to move

0:19:06.240 --> 0:19:09.639
<v Speaker 1>on to higher value added skills earlier. But but they

0:19:09.680 --> 0:19:12.080
<v Speaker 1>also might not learn the basics. And I think that's

0:19:12.080 --> 0:19:14.240
<v Speaker 1>an issue in a lot of professions as AI kind

0:19:14.240 --> 0:19:16.200
<v Speaker 1>of takes over, is you know, all of that stuff

0:19:16.240 --> 0:19:18.800
<v Speaker 1>that's being automated was how people learn the basics of

0:19:18.840 --> 0:19:21.040
<v Speaker 1>their job, And there were a lot of important skills

0:19:21.040 --> 0:19:22.720
<v Speaker 1>that they might have learned that they're now gonna have

0:19:22.720 --> 0:19:25.600
<v Speaker 1>to learn some other way. Right, But the big issue

0:19:25.640 --> 0:19:28.359
<v Speaker 1>here is of course fixing the business model does the

0:19:28.480 --> 0:19:30.600
<v Speaker 1>does Project Rador do that? I mean, do you get

0:19:30.600 --> 0:19:33.679
<v Speaker 1>the sense that this technology can solve some of the

0:19:33.720 --> 0:19:37.000
<v Speaker 1>problems at a newspaper like the Born withth Echo? Well,

0:19:37.240 --> 0:19:39.520
<v Speaker 1>I think it's helping the echo just at the margins, really,

0:19:39.560 --> 0:19:41.359
<v Speaker 1>I mean, it's helping it fill in a few stories

0:19:41.400 --> 0:19:44.399
<v Speaker 1>a week, but it's not solving that the underlying business problem.

0:19:44.440 --> 0:19:46.480
<v Speaker 1>And I don't think any of these automated soleations really are.

0:19:46.640 --> 0:19:48.920
<v Speaker 1>I mean, they help newspapers produce a little bit more

0:19:49.040 --> 0:19:51.520
<v Speaker 1>with fewer people. Um, they take away some of the

0:19:51.560 --> 0:19:53.720
<v Speaker 1>grunt work, which maybe frees up people to do some

0:19:53.720 --> 0:19:56.200
<v Speaker 1>some higher stuff. But but it's not fixing the fundamental problem,

0:19:56.240 --> 0:19:59.199
<v Speaker 1>which is if you don't have advertisers willing to pay

0:19:59.280 --> 0:20:01.880
<v Speaker 1>that much money to to run ads against something online,

0:20:02.200 --> 0:20:03.359
<v Speaker 1>you're just not gonna be able to pay for what

0:20:03.400 --> 0:20:06.159
<v Speaker 1>you produce. Yeah, and articles like the one that you

0:20:06.240 --> 0:20:09.760
<v Speaker 1>read about juvenile crime. It's probably not solving the other

0:20:09.800 --> 0:20:12.920
<v Speaker 1>basic issue, which is kind of preserving that relationship, that

0:20:13.119 --> 0:20:17.480
<v Speaker 1>very powerful relationship between the local newspaper and the reader. Yeah, no,

0:20:17.640 --> 0:20:19.560
<v Speaker 1>not at all. These programs aren't going to know about

0:20:19.560 --> 0:20:21.960
<v Speaker 1>the local community. They're not going to have that sense

0:20:21.960 --> 0:20:31.240
<v Speaker 1>of place at the Bournemouth Echo. The staff who remain

0:20:31.359 --> 0:20:35.080
<v Speaker 1>have tried their best to adapt changing times. Yeah, take

0:20:35.160 --> 0:20:38.320
<v Speaker 1>Cora and the last photographer on staff. He told us

0:20:38.320 --> 0:20:43.160
<v Speaker 1>he's moved from taking still images to mostly shooting video video.

0:20:43.160 --> 0:20:45.439
<v Speaker 1>It's been costizing, it says, it's more of a challenge,

0:20:45.840 --> 0:20:50.359
<v Speaker 1>you know, learning Learning video is something that really really

0:20:50.600 --> 0:20:54.520
<v Speaker 1>interested me. In fact, Coran's video skills were in such demand.

0:20:54.600 --> 0:20:57.520
<v Speaker 1>The Connett that's the company that owns news Quest Media,

0:20:58.080 --> 0:21:00.280
<v Speaker 1>tapped him to shoot video for USA Today and the

0:21:00.320 --> 0:21:03.720
<v Speaker 1>rest of the Ganet papers at the World Economic Forum

0:21:03.800 --> 0:21:06.000
<v Speaker 1>in Davas, Switzerland. You know, if you were going to

0:21:06.119 --> 0:21:09.679
<v Speaker 1>stay static and say I'm not learning this, I'm not

0:21:09.800 --> 0:21:11.439
<v Speaker 1>changing this is not something I'm going to do that

0:21:11.800 --> 0:21:15.080
<v Speaker 1>you are. You know, you're probably playing the last pan

0:21:15.119 --> 0:21:17.720
<v Speaker 1>in your career. Cora and has helped train the rest

0:21:17.760 --> 0:21:20.720
<v Speaker 1>of the Echoes reporting staff and photography skills, and he

0:21:20.800 --> 0:21:23.720
<v Speaker 1>oversees this thing called the Echoes Camera Club that's a

0:21:23.760 --> 0:21:26.840
<v Speaker 1>group of readers and amateur photographers who contribute images to

0:21:26.880 --> 0:21:30.119
<v Speaker 1>the paper. While he's had to adapt, Coran still enjoys

0:21:30.160 --> 0:21:33.000
<v Speaker 1>his job. Mari Hart is with the Woman Dirt Echo.

0:21:33.240 --> 0:21:35.199
<v Speaker 1>If there's if there's a massive news story going on

0:21:35.200 --> 0:21:36.719
<v Speaker 1>in town, I'm going to get some to it. If

0:21:36.760 --> 0:21:39.480
<v Speaker 1>there's if there's an interesting, you know, photographic assignment to

0:21:39.480 --> 0:21:41.119
<v Speaker 1>go to, I'm going to get to go to it.

0:21:41.880 --> 0:21:44.480
<v Speaker 1>In many ways, Andy says, the Corn's story is really

0:21:44.520 --> 0:21:47.480
<v Speaker 1>the story of the Echo in microcosm. I can't think

0:21:47.480 --> 0:21:50.080
<v Speaker 1>of any other business though, where it's such a short

0:21:50.119 --> 0:21:52.440
<v Speaker 1>space of time. People have to learn a whole range

0:21:52.440 --> 0:21:55.040
<v Speaker 1>of new skills, and they do it day and day out.

0:21:55.680 --> 0:21:58.760
<v Speaker 1>They're the phenomenon. The paper has managed to build a

0:21:58.760 --> 0:22:02.720
<v Speaker 1>decent online readership. The Echoes Content and Audience manager Katie

0:22:02.760 --> 0:22:05.840
<v Speaker 1>Clark walked me through a few of the numbers. So

0:22:06.280 --> 0:22:08.640
<v Speaker 1>monthly we're looking at like one point two to one

0:22:08.640 --> 0:22:13.679
<v Speaker 1>point three unique million uniques um and page views are

0:22:13.760 --> 0:22:16.439
<v Speaker 1>somewhere anyone, kind of anywhere monthly between like ten million

0:22:16.560 --> 0:22:19.720
<v Speaker 1>and like thirteen million, depending on how much breaking news

0:22:19.720 --> 0:22:23.200
<v Speaker 1>we've had. The Echoes sports coverage has also helped it

0:22:23.280 --> 0:22:26.840
<v Speaker 1>to attract online readers. Bournemouth has a Premier League soccer

0:22:26.880 --> 0:22:31.080
<v Speaker 1>team now Louis Cook Cook Well, that might be a

0:22:31.080 --> 0:22:33.880
<v Speaker 1>brilliant ball. It is. It's Calor Wilson, It's laid off

0:22:34.080 --> 0:22:43.200
<v Speaker 1>rid first. It's a historic win for they're nicknamed the Cherries,

0:22:43.640 --> 0:22:45.800
<v Speaker 1>and fans around the world go to the Echoes website

0:22:45.800 --> 0:22:48.280
<v Speaker 1>to follow the team. But as we said, the problem

0:22:48.320 --> 0:22:51.000
<v Speaker 1>is that advertisers pay a lot less per click than

0:22:51.040 --> 0:22:53.840
<v Speaker 1>they do with print ads, and many sites have become

0:22:53.920 --> 0:22:58.120
<v Speaker 1>dangerously dependent on third parties, especially Facebook, to drive readers

0:22:58.160 --> 0:23:01.440
<v Speaker 1>to their sites. We are looking at kind of how

0:23:01.440 --> 0:23:04.800
<v Speaker 1>we're talking to people, engaging with people on Facebook. We're

0:23:04.800 --> 0:23:08.119
<v Speaker 1>putting a lot more emphasis on Twitter coming in the

0:23:08.200 --> 0:23:11.479
<v Speaker 1>last kind of month or so. Facebook recently tweaked its

0:23:11.520 --> 0:23:15.159
<v Speaker 1>algorithm to prioritize posts from friends and family in users

0:23:15.160 --> 0:23:18.000
<v Speaker 1>news feeds. That's making it harder for publishers to use

0:23:18.040 --> 0:23:21.639
<v Speaker 1>social media to promote their stories. So you've gotten used

0:23:21.680 --> 0:23:25.000
<v Speaker 1>to seeing a slight decline last year because of the

0:23:25.000 --> 0:23:27.520
<v Speaker 1>Facebook and trying not to panic about. To be honest,

0:23:28.920 --> 0:23:31.560
<v Speaker 1>if you panicked every time Facebook changed their algorithm their

0:23:31.720 --> 0:23:36.479
<v Speaker 1>user if you're screwed. And finally, print circulation continues. It's

0:23:36.560 --> 0:23:40.199
<v Speaker 1>long decline. Meanwhile, in Bournemouth, and he says he has

0:23:40.240 --> 0:23:42.320
<v Speaker 1>no choice but to stay optimistic about the future of

0:23:42.359 --> 0:23:45.240
<v Speaker 1>journalism and the future of the Echo. To my point

0:23:45.240 --> 0:23:47.120
<v Speaker 1>of view. I love the paper, I love what we do.

0:23:47.520 --> 0:23:49.840
<v Speaker 1>I love seeking it to people and holding people's account

0:23:49.880 --> 0:23:55.160
<v Speaker 1>and you know, getting things done. Um So I think

0:23:55.200 --> 0:23:57.119
<v Speaker 1>by large you have to be in this business. You

0:23:57.160 --> 0:24:13.320
<v Speaker 1>have to be an egoistow wow. And that's it for

0:24:13.400 --> 0:24:17.359
<v Speaker 1>this week's episode of Decrypted. Thanks for listening. We always

0:24:17.359 --> 0:24:19.159
<v Speaker 1>want to know when you think of the show. You

0:24:19.160 --> 0:24:22.320
<v Speaker 1>can write to us at Decrypted at Bloomberg dot net.

0:24:22.760 --> 0:24:25.760
<v Speaker 1>I'm on Twitter at Jeremy a Con and I'm on

0:24:25.800 --> 0:24:29.320
<v Speaker 1>Twitter at Bradstone. Please consider leaving us a rating or

0:24:29.359 --> 0:24:32.040
<v Speaker 1>a review on Apple Podcasts or any of your favorite

0:24:32.040 --> 0:24:35.840
<v Speaker 1>podcast apps. It really helps us find new listeners. This

0:24:35.920 --> 0:24:40.359
<v Speaker 1>episode was produced by Pia Gutkari Magnus Hendrickson, Liz Smith,

0:24:40.600 --> 0:24:44.040
<v Speaker 1>and Christie Westgard. Francesco Levie is head of Bloomberg Podcasts.

0:24:44.320 --> 0:24:45.240
<v Speaker 1>We'll see you next week.