Aggregation – a substitute newspaper?

I’m not sure that I completely agree with Scott Fulton’s conclusion in this piece, but it’s well worth a read nonetheless. On the difference between Google and journalism:

News has always been a loss leader; it’s the thing publishers provide to make the real products they used to sell timely, interesting and competitive. It’s literally the sugar coating.

The Internet commandeered the services that newspapers once championed and delivered each of these services on an a la carte basis. In an earlier era, it made sense to bundle these services in a single package – the newspaper – and deliver it fully assembled. Today, the Web itself is the package, and each of the services now competes against other similar services in separate, often healthy, markets. And this is as it should be – this is not somehow wrong.

But it leaves local news providers with only the container, abandoning them with the task of making a living from the news alone. What’s worse, it thrusts them into a market with tens of thousands of journalistic ventures of all sizes, all of which have charged themselves with the same objective: building a business model around solely the news. What gives all these services a bit of a reprieve, albeit temporary, are Google News and the other aggregators in its category. Aggregators serve not only as front pages for a multitude of news services, but by bundling them together and giving them the illusion of plurality, aggregators substitute for the missing thunder of the press. The end product is not exactly editorial, but if you squint, there are moments when it reminds you of something that might have been editorial once.

Journalism online has a distribution problem. Unlike a road network, Google isn’t a neutral network through which news can be pushed; unlike hauliers and newsagents, social networks don’t exist primarily to distribute our news but have their own purposes and uses that sometimes conflict with ours. As the Mail Online prepares to turn its first profit, there is a wider argument playing out about whether journalism can or should be valued by how well and widely it is distributed – for display ad driven models this is particularly acute. And Google, as a display ad provider, potentially profits twice by being the primary distributor as well.

For news, Google is a distributor trying to make the product fit its network. (In other areas too – Schema.org microdata, authorship markup and other elements of Google+ spring to mind.) Though it’s certainly useful – I would argue vital to most news sites – it’s not the only way to distribute news, and for some sites it’s not the dominant method. Google is competing with email, social networks or even direct traffic to be the primary access method. Of course, then, it wants access to news and other content in a form that’s easy for it to parse and display. No wonder it fell out with Twitter and Facebook.

To my mind, this is the quote that gets to the heart of it:

Like it or not, aggregation is an interim solution. It’s a kludge that satisfies an immediate need in the short-term; it’s a substitute newspaper.

Google News is the best of what we’ve got now. It’s not necessarily what’s best for news. It’s certainly not where we’re going to end up.

News SEO: optimising for robots is all about the people

Some people in the news business get very wary of SEO in general. There seems to be a perception that content farming and low-quality stories are a sort of natural consequence of making sure your stories can be found via Google. But in fact there is a wide spectrum of approaches here, and news organisations make editorial judgements over whether to cover something that’s interesting to the public just because the public is interested. No Google robot forces a newsroom to make that choice, just as no print-sales-bot forces the Daily Star to splash on scantily-clad women and celebrity gossip.

If your editorial strategy is to chase search terms, then you’re not optimising for robots – you’re optimising for the millions of people online who search for certain sorts of stories. Websites like Gawker and the Mail Online create content to attract the potential millions who read celebrity gossip or who want the light relief of weird Chinese goats - and many of those people also care about the budget or the war in Afghanistan, because people are multi-faceted and have many, many interests at the same time.

If your production strategy includes making sure your headlines accurately describe your content, make sense out of context and use words people would actually use in real life, then you are optimising your content for search. Not for robots, again, but for people – potential and actual readers or viewers – some of whom happen to use search engines to find out about the news.

For example, search optimised headlines may well have the keywords for the story right at the beginning. Google lends greater weight to words at the start of a headline than at the end. But it does so because so do people. If you’re scanning a Google search results page, you tend to read in an F shape, taking account of the first few words of an item before either engaging further or moving on. [Edit: via @badams on Twitter, a more recent study backing up the F-shape reading pattern.] Google’s algorithm mimics how people work, because it wants to give people what they’re going to find most relevant. Optimising for the robot is the same thing as optimising for human behaviour – just as we do in print, taking time to design pages attractively, and taking account of the way people scan pages and spend time on images and headlines in certain ways.

News SEO is a very different beast from, say, e-commerce SEO or SEO for a small business that wants to pick up some leads online. Once you get beyond the basics it does not follow the same rules or require the same strategies. Link building for breaking news articles is worse than pointless, for example; your news piece has a halflife of a day, or an hour, or perhaps a whole week if you’re lucky and it really hits a nerve. Social sharing has a completely different impact for news organisations that want their content read than for, say, a company that wants to sell shoes online. For retailers, optimising for the algorithm might start to make some sense – if the only difference between you and your competitors is your website, then jostling for position in the search results on particular pages gets competitive in a way that news doesn’t. For news, though, optimising for robots always means optimising for humans. It’s just a matter of choosing which ones.