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2013 Reviews of the Year

December 30, 2013 By Dan Thornton

As 2013 draws to an end, almost everyone is busy either compiling their reviews of the past 12 months, or publishing predictions and trends for 2014.

Predicting the future is always difficult, even when you spend your life watching an industry closely – it’s easy to get caught up in enthusiasm and shorten the timeline that you might have logically thought, and there are always external factors and events which we don’t know about yet which could mix things up a bit more…

Annual reviews can also lead to an overwhelming amount of information and data, but there’s often inspiration to be found, so we’ve compiled some of the 2013 reviews from the big internet names to share:

Tumblr 2013 Year in Review:

Tumblr2013YearinReview

Tumblr has released a big categorised review, including everything from New and Top blogs, to the most popular in Movies, Music, and even Sponsored Posts. Plenty of inspiration and enjoyment to be had, particularly if you’re a fan on animated Gifs.

Pinterest: Top Pins of 2013:

Pinterest2013TopPins

Staying with categorised imagery, Pinterest has also released a ‘top pins’ for 2013, separated in categories such as Home Decor, Art, Design and by country ( UK, France, Italy, Sweden, Norway, Denmark and Finland).

Google: Zeitgeist 2013:

GoogleYearinReview2013

As always, Google has produced a range of videos and data to cover the top searches in 2013. Exploring the data via Google Trends is a bit more useful from a business perspective.

Bing: Review of the Year 2013:

BingReviewoftheyear

Bing has released the 2013 top searches etc in a more traditional article style via MSN news. Strangely they released the url bingtrends.com which redirects to MSN news for the UK. Either way, the information is there.

Facebook: Stories 2013

FacebookStories

Facebook Stories 2013 includes video and the Most Talked About Topics etc near you, as well as personal Year in Review features. Also available in text format for global and US information.

Reddit Top Posts and Stats of 2013:

redditlogo

When you start a look back at 2013 with 56 billion pageviews, 731 million unique visitors and 404,603,286 comments, it’s not been a bad 2013 for Reddit. Also includes top countries, top posts, and highlights from the End of Year awards.

Slideshare Zeitgeist:

SlideShare Zeitgeist 2013 from SlideShare

Instagram has released blog posts covering 2013 Top Moments, and 2013 Top Locations.

And with a day to go, the most popular articles on TheWayoftheWeb.net in 2013 were:

  • Is Feedburner About to be Closed by Google?
  • Top social networks: Guide to images for company pages
  • How to import Posterous to self-hosted WordPress
  • The 3 big marketing fallacies for 2013 (ironic at this time of year!)

Data, Sharing and Over-Sharing

July 2, 2012 By Dan Thornton

Data is one of the biggest trends at the moment – it’s interesting to see the amount of coverage given to the recently announced integration between Nike’s Fuelband and the Path social network, for example.

What’s interesting to me about this is that the Nike Fuelband is essentially a very cool fitness tracking bracelet, which continues the Nike+ tracking and sharing trend. If you’ve tracked your run etc 5 or more times, it’s extremely likely to now be a habit you’ll continue, and the more social you are, the more likely you’ll keep it going to pass that early barrier.

That’s one side to it, the other struck me as I was distracted by the stats on my Last.fm profile.

Will social networks be defined by how much is shared?

Obviously there have already been attempts to create new social networks around the selling point of user privacy, and so far none have really achieved the kind of meteoric success of the big social sites.

What I’m thinking about is something slightly different in the way the networks are perceived and gain users, and it struck me as I posted on Facebook about how I don’t automatically feed every Spotify track into Facebook, but they’re all available as scrobbled by Last.fm (In 5 years I’ve scrobbled 14,524 songs to Last.fm which if you took an average of 4 minutes per track would be 58096 minutes, 968.26 hours, or 40 days worth).

What I’m thinking of is something like the following split:

  • Least shared data: Twitter. No requirement for real names, or details. Big asynchronous groups.
  • Average: Facebook. Suggests using real data (although you can get around it). Slightly smaller groups and closer to ‘real’ friends.
  • Most shared data:  Path. Integrate and share absolutely everything with a smaller, closer group of friends.

Will data sharing and data services start to shape our attraction to certain networks in an equal fashion to who we know is actually using them? Does the social aspect of sharing fitness data with other people in training equal the social aspect of connecting with my family whose interests on Facebook may rarely intersect with my own?

If we take Facebook as the standard sharing benchmark due to the massive user numbers, there’s definitely a skew towards much more sharing than ever before (Obviously some will have a locked down FB profile with a fair bit of effort required). Will we see a world of people addicted to data sharing looking to go beyond what FB can offer, or a greater number of people looking for more privacy and less automatic sharing?

These aren’t absolutes, and there will always be people heading in both directions, but I’m intrigued to see on which side the see-saw starts leaning.

Seesaw

Do you think many people will continue to silo the data in the most appropriate communities (e.g music on last.fm, books on Goodreads, fitness on a running forum etc), or will they look for one central data hub social network to rule them all?

Great videos to watch from the Dachis Social Business Summit

June 24, 2011 By Dan Thornton

Just spotted that the Dachis Group have just released all the videos and presentation slides from their Social Business Summit, which took place in March.

All of them are worth watching, but I figured I’d pull out the talk by JP Rangaswami in particular, considering it was only a couple of hours ago I included his site as one of the blogs I always make time to read.

Others include Ton Hsieh Shiv Singh, Phillip Kaplan, Lee Bryant etc. Definitely worth making some time on a Friday afternoon to browse through and watch when you can.

 

Promoting an API – Etsy offering basic programming classes…

February 14, 2011 By Dan Thornton

A lot of people have spent time talking about the value you can get by providing an API (Application Programming Interface) for other people to use and build with. Basically it provides a managed route for people to utilise your data in their own creations, and can have big implications – such as the success of 3rd party applications in helping Twitter to grow, as an example.

A nice example of going further than simply creating and releasing an API has been announced by Etsy, the community of makers and sellers of all sorts of items. They’re offering a free four-week class on basic web programming, which doesn’t require any experience, and handily will use the Etsy API to demonstrate topics such as displaying Etsy listings on your site, searching listings via the API and adding special effects to a web page. The lessons and homework are available at codelessons.com, and the first class begins tonight.

Benefits for everybody:

It’s a nice bit of work which I hope succeeds, as it has benefits for everyone involved. Etsy obviously benefits if more people use better ways to share great purchases, website owners benefit from not only being able to better integrate and display items – but also get knowledge which can help them with APIs from other sources, and the general web user benefits from a better experience from a number of websites.

And knowing how to utilise and implement feeds from APIs is an increasingly important skill for a huge number of professions. Data feeds of all formats are more important than ever for journalists, marketeers, bloggers, etc as much as for developers and programmers, as more and more large data sets are becoming available to be used to create great content and applications.

Pipework

One of the things which you could post-rationalise as a characteristic of a successful digital company is how they use data – Google, facebook, Demand Media, OKCupid etc, etc. All supply examples of how data can be used in a marketing, advertising or promotional context.

Or from a journalistic point of view, look at Wikileaks, Ushahidi, Police.uk, etc.

Understanding and Acceptance:

I’m not suggesting that we should all sign up to free classes like those using the Etsy API and within weeks we’ll be coding ideas to rival Google and Facebook.

But I’m suggesting that those with even a passing interest in digital should sign up to these types of classes to force themselves into understanding more about what is possible, and what opportunities they might have…

(On a similar note, meetups like Hacks/Hackers London are going on all the time for little or no cost. Or indeed Digital People in Peterborough)

Can you handle the data?

January 25, 2011 By Dan Thornton

Two of the biggest recent trends for sharing and marketing content have been infographics and data visualisations. Not a day goes by without an infographic being shared which shows social networking stats, mobile stats, stats about stats and other stats in a graphical form. They’re useful for raising awareness, driving some direct traffic, and have also been used to create backlinks to sites by including the details in any embed code which is being used.

The other side of the graphical data coin is data visualisations, whether they’re being produced as bespoke creations by someone like David McCandless, or as entirely automated processes, such as LinkedIn Labs new InMaps, which visualises all the professional networks you’ve created by connecting with other people on LinkedIn. Allow them access to your account and you get a lovely spirograph type affair.

Now, it’s definitely very pretty, but it’s hard to define how to use it effectively to achieve anything. While I may just be a grumpy writer, data visualisations theoretically allow anyone with the some programming ability to produce them, and there are increasing ways to get hold of interesting data and repurpose it.

In the case of infographics, my annoyance is usually if I’m on a slow connection and waiting ages to see a collection of numbers which could have also been put into text, and would then allow me to quote (as fair use and with links back) without having to retype it all in. With data visualisation tools, my annoyance is that sometimes they’re worth doing just to make something you could hang on a wall but often they don’t go beyond that. And I’m not knocking data as art, but take the LinkedIn example.

I’ve got a shedload of contacts on LinkedIn, and I can now see areas where there could be some mutual benefits in introducing people from one apparently siloed area to another. That’s quite useful, although the sheer number of people on that graph makes it still difficult to see who I should be introducing to other people.

So why not make it so I can drag and drop people to create the introductions, rather than going back into LinkedIn, finding person A, and then finding person B?

There’s a handy sidebar if you click on a name, which brings up their mini-profile, but that’s just giving me more information, not ways to do anything with it.

And it appears that aside from the light green and purple extrusions, which represent networks predominantly from Bauer Media and Absolute Radio, everyone else I know is in a big jumble of social media/marketing/PR/mobile – which partly makes sense because of the ultimately quite small world of digital technology in the UK, but is also a real pain to navigate and to be unable to recategorise.

There are two battles here:

1. The battle to make more and more data available in an open way for people to be able to use – even data which traditionally may have seemed highly secretive. I’m not suggesting you share absolutely everything to anyone, but there’s bound to be masses of information you’re currently hoarding and not using which could result in important business insights if someone externally started to play around with it and discover meaning from it.

2. The battle to utilise that data in more meaningful ways. Mapping and graphing are useful, and the interconnectedness of a lot of data provides a massive challenge, but unless you’re purely doing it as an artistic endeavour, then try to let me at least do something with it? It doesn’t have to be rocket science, but if you’ve produced something like InMaps, just pause and imagine the first response people are going to have when they see it, and the first thing that will spring into their mind to try and do with it.

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