3 Things to Never Spell Wrong on LinkedIn

Photo credit: Cubosh on Flickr

I've seen several comments over the past few weeks about spelling, grammar and general accuracy in LinkedIn profiles, CVs, and other important professional documents. Some of these comments have contained errors themselves. The irony of it all.

Spell check can help you with this of course, but there's a limit to the number of scrapes it can get you out of. There's no substitute for checking. Having said that, certain parts of your profile will always get more attention than others, so you should give them (even) more attention yourself.

Here are 3 Things to Never get Wrong

Your Job Title

You might think I'm making this up, but a quick trawl through LinkedIn for those working in "apllication" development will show otherwise. Even as I type, the bad spelling has been flagged up, so there's really no excuse here. Another favourite is confusion of "principal" with "principle". Spell check won't help you here, but if this word is in your job title, you're probably quite high up the food chain, and it'll be on your business card, so check it there.

Your Employer

Contain your incredulity, and search LinkedIn for "AXA Insuranec". You're unlikely to get head hunted by a large corporation if you can't spell the name of the one you're currently working for correctly.

Your Mega Client

Last year I saw a LinkedIn status update from someone in my network proudly announcing a major report he had been commissioned to write for his client, "Erst & Young". One has to hope the client was correctly referred to as Ernst & Young in the final version of the report.

Why this Matters

In an increasingly complex world, accuracy is everything. Mistakes such as these will demonstrate that you: either don't know about, or don't use, tools which are there to assist you; don't check your work; don't care about your current job, employer, or client. As employers and potential clients make increased use of LinkedIn, presentation skills (or a lack of them) will be one of the factors used when deciding who should be on the short list.

IT Recruitment Industry Resorts to Sexist Crap?

A colleague received the following email yesterday (February 14th):

Hi Sarah-Jane,

Hope your well.

I hope Valentines Day is not to cringe for you and although you may have that special someone special in your life, my PHP Developer is more special to you and your business.

He is available immediately.

If you are looking or are interested in finding out more please don’t hesitate to contact me.

Regards
Andrew

Wow. Given the poor sentence construction and grammar, this might be unintentional, but it's still crap.

How to Spot Fake Social Media Profiles

Fake profiles on Twitter are nothing new, and in the world of online dating they're quite common as well. You might think LinkedIn has escaped all this, but it hasn't. Help is at hand, however, because some of the tools used for other social networks work just as well on LinkedIn.

Stock Photos

Recently I was intrigued by a profile thrown up by LinkedIn's "people you may know" feature. Something looked a bit off about the photo, which had me looking at the rest:

I've hidden the company names, as they are all apparently legitimate. We'll come back to the photo, but notice the lack of details supplied for the three roles listed under experience, the 500+ connections, and the fact that she's a 2nd level connection - i.e. people I know apparently know her. Or not, based on my checks.

Back to that photo. It looks a bit like a stock photo, and that's because it is. You can click here to see it listed on a stock photo web site. So, if we come across a photo, suspicious or otherwise, and we want to check it out, how can we do this? Google Image Search is a good option, but there's another useful search tool called TinEye which comes in really handy for this. It's a reverse image search, so you give it an image, and it finds instances of it on the web.

Give it a try now, the URL of the stock photo is
http://www1.imagedirekt.com/idIdpremid/000043000/43354.jpg
- just copy this and paste it into the box on the TinEye home page, and you'll get over 600 results.

Magazine Photos

This second LinkedIn profile is a public one, so you don't need to be logged in to LinkedIn to view it, here's the link: http://ca.linkedin.com/pub/bonny-andrew/15/a34/646/

Let's put TinEye to work straight away. The URL for the image is
https://m1-s.licdn.com/media/p/3/000/066/3bf/23ddce7.jpg
and TinEye will find 7 hits for this, and from looking at them you'll discover that this is, in fact, Indian film actress and model Trisha Krishnan. You can view the original cover of Maxim which featured this photo by clicking here.

Summary

I've mentioned before that it's important to use a photo, and to use the right photo, on your LinkedIn profile, so I should add that the "right photo" should NOT be of someone else, as it makes you look suspicious. Equally if you're approached by someone with a dubious looking photo, tools like TinEye are a quick and easy way to check. Incidentally, there are browser plugins available which you can use to cut out the copy and paste effort, and they are well worth adding to your browser.

LinkedIn's Big Data Endorsement Game - Why You Might Want to Play

LinkedIn has received mixed reviews of its Endorsements functionality since it was introduced last year. Many don't like the influx of emails (though these can be turned off); or the fact that they can be endorsed for skills by those in their network who have no direct knowledge of their ability in that area (though these inappropriate endorsements can be hidden albeit with some effort); or that it's too easy to endorse someone which increases the problem. How many endorsements are legitimate? How can LinkedIn judge which ones are "weak" and which are "strong"?

Note that I have no connection with LinkedIn, and no knowledge of how LinkedIn actually processes our data. These are some speculative ideas about what LinkedIn might do, and why.

Weak and Strong

MarginHound's paper last year about the way in which LinkedIn might use the data acquired from members endorsements [1] got me thinking about the ways in which LinkedIn might start to treat endorsement data like Google treats page rank data in searches.

Consider what might happen when you search LinkedIn for a person with a particular skill set. Your search will return a number of people, and LinkedIn can now order these by the number of endorsements, which means that the ones at the top stand a good chance of being the most relevant, and most highly skilled.

The Problem

The "weak endorsements" problem, which has been widely reported [2][3], seems to be in danger of breaking this process.

However, help may be at hand, from endorsements themselves. First of all, you need to be familiar with LinkedIn endorsements and how they work [4]. You also need to know that you can hide endorsements [5] from your profile if you feel they are inappropriate, perhaps you've only met that person once at a networking event so they can't possibly endorse you for widget repairs.

Endorsement hiding allows LinkedIn to do two things:

1. Detect "endorsement managers" who take time to hide inappropriate endorsements.
2. Detect "compulsive endorsers" who endorse others, only for those endorsements to be hidden.

Using in Search

How can this be used during a LinkedIn search to improve the quality of search results? Well, having ranked search results in order of endorsements received, we could look at the endorsers and see how many of them are "compulsive endorsers" - and if they are, remove their endorsements from the ranking calculation.

In addition, we could also look at the endorsers and see which are "endorsement managers". We could make their endorsements "count double" (or use some other weighting) as we know they understand endorsements because they actively take time to manage the ones they receive.

Suppose Alice and Bob are "compulsive endorsers", whilst Andrew and Beverley are "endorsement managers". Claire and Charles both have "Social Media" in their skills on LinkedIn, and have received two endorsements for it as follows:

Claire from Alice and Bob
Charles from Andrew and Beverley

Since LinkedIn knows about the endorsers and their approach to endorsements, Claire's endorsements may be viewed less favourably by LinkedIn because it knows that Alice and Bob endorse pretty much anyone they can. Charles, however, may have his endorsements weighted more heavily because LinkedIn knows Andrew and Beverley manage their own endorsements, and additionally have very few of the endorsements they give out hidden by the recipients.

So, in this example, Charles will rank higher for endorsements for the "Social Media" skill than Claire.

Let's now suppose that Charles receives an endorsement from Diana. Diana herself has 150 endorsements for "Social Media" and LinkedIn analyses those and determines that 90% of them are "strong" endorsements. This allows LinkedIn to add extra weight to the new endorsement from Diana, because she has so many "strong" endorsements herself, indicating she is likely to be an expert in the field.

Remember, LinkedIn "Knows"

LinkedIn knows a lot about your network. All the time you've been on LinkedIn, it's been accumulating information about you. You have access to a lot of it, of course, but there's more that LinkedIn knows. A good example is how long you've been connected to someone on LinkedIn. You can find this out for yourself if you've kept the invitation and connection emails, but it would take a while to piece it together for your entire network.

LinkedIn on the other hand, just knows. It knows when the connection records were created. So one thing LinkedIn can do for assessing "strong" endorsements is look how long you've been connected to your endorser. Length of time isn't enough on it's own of course, you might get a "weak" endorsement from someone you've known for a long time, and a "strong" one from someone you've done some work for last week. It's just one parameter that can be used.

LinkedIn also knows who in your network is a former or current colleague, and what employers you had in common. This can also be used as a guide in determining whether an endorsement is "weak" or "strong".

Summary

As stated, I have no relationship with LinkedIn, and so don't know whether this is what is already going on, or if it's in the pipeline, however this is what I do know:

• Criticism of Endorsements has been widespread and LinkedIn will have seen it
• There are some very clever people working at LinkedIn
• LinkedIn won't reveal the secrets of Endorsements in the same way Google don't reveal the secrets of search
• Such a "socially determined" level of expertise could be used in areas other than search

 Further Reading

• [1] Linkedin Endorsements: How Might They Affect Linkedin’s Search Algorithm? (MarginHound)
• [2] When your squash partner 'endorses' your coding skills on LinkedIn... (The Register)
• [3] LinkedIn's Endorsements Have Become Meaningless (Mashable)
• [4] Introducing Endorsements: Give Kudos with Just One Click (LinkedIn)
• [5] Hiding and Unhiding a Skill Endorsement (LinkedIn)

52 Weeks 52 Photos

Last year I enjoyed spending some "December down time" rummaging through Picasa albums in search of 2011's best bits, so this year I thought I'd do it all over again.

Inevitably London and the Olympics feature strongly, as does Lincoln Cathedral, a place it's difficult to visit without taking lots of photographs. Some places, such as Bletchley Park will be visited again soon, so there's more to come from them I suspect.

Click here to view the Picasaweb album.

Christmas Computers 30 Years Ago

The December 1982 issue of Your Computer featured an attached flexidisc containing games for the ZX-81, Spectrum and Vic. Unfortunately I can't find this forerunner of the cover CD, but from the article in the magazine, using it was an involved process. At the time, the standard input method for restoring your saved programs was via cassette tape, so the procedure for the 33rpm flexidisc was to record it on tape and then load from the tape on to your computer.

Elsewhere the issue included a wide variety of games to keep your fingers busy typing over the festive period, some of which were reproduced in extremely small type. Or perhaps my eyesight was better then. In the letters page there were further complaints from those still waiting for Sinclair to deliver their Spectrum, in some cases after waiting for up to 4 months, all against a backdrop of new machines from the Japanese manufacturers.

Aldwych Tube Station Tour

Last weekend saw another of the occasional re-openings of the now-disused Aldwych tube station for a series of guided tours. Having missed out on the last round of tours, I was looking forward to this one, and was there in plenty of time.

The station was in service until 1994, and I remember it from my first job in London back in 1988, as the station was on the far edge of a lunchtime loop walk I used to do from my office near Farringdon station. However, like many others I didn't use the station because it's location as a spur from Holborn meant that it was often easier to get off the tube network at Holborn, and just walk down Kingsway.

The tour lasts for about an hour, and takes in the upper level lobby before descending down 160 or so steps to the platform levels. Although the lifts are still present, they are no longer in use due to their age, and are bolted in position - you can walk through them, however.


Down on the platforms, there is one train in on the platform which is still open, whilst the other platform is no longer open, and the exit tunnel has been bricked up - indeed this platform was closed only 10 years after the station was opened, as even then very few passengers were using the station. Aldwych is often used for filming, which is why the train is still operational, although there has been a recent trend to use the old Charing Cross Jubilee Line station for filming, as it is more modern.

The guides are very knowledgeable, and there are plenty of opportunities to hear stories, ask questions, and take photographs, before climbing back up the 160 steps. In recent years, the tours have been run at the end of November and start of December, the London Transport Museum events calendar will usually include details, as do many of the London event listings web sites, such as Ian Visits. There are some photographs from the tour here.