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Recently, Facebook came under fire after former workers claimed that they routinely suppressed conservative news stories from the company's "trending" section.
While the company disputed the claims, the implications were so serious that Facebook CEO Mark Zuckerberg met with conservative leaders.
The rise of native apps is one of the biggest threats to Google's dominance, but the search giant isn't sitting idly by.
In fact, slowly and sometimes quietly, it's increasingly working to extend its influence into the apps Googlebot can't reach.
Earlier this year, Google revealed that prominent interstitials encouraging users to install mobile apps drove users away by the boatload on its Google+ social network.
A lot of attention has been paid to the effects of Google’s latest updates to its search algorithm.
And rightly so, as the latest changes give long overdue improved ranking to sites that have been optimised for mobile.
Earlier this year, Google announced that it would expand its use of 'mobile-friendliness' as a ranking signal on 21 April 2015.
They can make or break a site, and many website operators and search marketers await their arrival with a certain level of anxiety.
I'm referring, of course, to Google algorithm updates.
But is it possible that the major Google algorithm updates that captivate us are largely a thing of the past?
Over the weekend Google released its latest Penguin update, the first in more than a year.
This follows a recent update to Panda, which took aim at thin content and aggregator sites.
I asked Stephen Kenwright, head of search at Branded3, about the aims and impact of this latest update...
Panda 4.1, as it has been dubbed, was released by Google last week with the aim of identifying low quality content more easily.
According to Google, it affects between 3% and 5% of search queries and will result 'in a greater diversity of high-quality small- and medium-sized sites ranking higher'.
I asked Marcus Tober, CTO and co-founder of SearchMetrics, about the new update.
Machine learning sounds like something that computer nerds do, but not marketers.
Well, here's a dip-your-toe-in introduction to how anyone can use machine learning to improve their digital ad campaigns.
Machine learning is an intriguing topic. Whether you've read about US retailer Target discovering a young woman was pregnant before she told her parents or you have seen it in action with Amazon recommendations, it's exciting to think that computers can do things which seem almost magical.
When Google announced at the end of September that Hummingbird had been live for a month or so, many questioned how such a significant change could have happened without it having been detected earlier.
Amit Singhal, Head of Google’s ranking team, talked about Hummingbird being the first time a completely new algorithm had been implemented since 2001 and that it impacted 90% of search queries.
However, the visible impact of this algorithm change has been less significant than many recent algorithm updates, such as the May 2012 Penguin update.
A few weeks have passed since Google’s long awaited and much speculated Penguin 2.0 update, and with the dust beginning to settle, we took a look at its impact in the UK.
There’s been no shortage of hype in the run-up to Penguin 2.0, with everybody’s favourite Google spokesperson and distinguished engineer Matt Cutts describing the forthcoming update as ‘a big one’ back in March.
But, so far at least, has it lived up to its billing as Google’s most advanced piece of spam-fighting technology to date?