Tag Archives: google

The Real Bias Built in at Facebook <- another bad I.T. story in the New York Times (and my criticism of it)

There is so much wrong in this article, The Real Bias Built In at Facebook – The New York Times, that I decided to take it apart in this blog post. (I’ve read  so many bad  IT stories in the Times that I stopped critiquing them after a while, but this one in particular bugged me enough to write something).

To illustrate what I mean by what is wrong with this piece, here’s some excerpts in italics followed by my thoughts in non-italics.

  • First off, there is the use of the word “algorithm” everywhere. That alone is a problem. For an example of why that is bad, see section 2.4 of Paul Ford’s great piece on software,What is Code? As Ford explains: ““Algorithm” is a word writers invoke to sound smart about technology. Journalists tend to talk about “Facebook’s algorithm” or a “Google algorithm,” which is usually inaccurate. They mean “software.” Now part of the problem is that Google and Facebook talk about their algorithms, but really they are talking about their software, which will incorporate many algorithms. For example, Google does it here: https://webmasters.googleblog.com/2011/05/more-guidance-on-building-high-quality.html At least Google talks about algorithms, not algorithm. Either way, talking about algorithms is bad. It’s software, not algorithms, and if you can’t see the difference, that is a good indication you should not be writing think pieces about I.T.
  • Then there is this quote: “Algorithms in human affairs are generally complex computer programs that crunch data and perform computations to optimize outcomes chosen by programmers. Such an algorithm isn’t some pure sifting mechanism, spitting out objective answers in response to scientific calculations. Nor is it a mere reflection of the desires of the programmers. We use these algorithms to explore questions that have no right answer to begin with, so we don’t even have a straightforward way to calibrate or correct them.” What does that even mean? To me, I think it implies any software that is socially oriented (as opposed to say banking software or airline travel software) is imprecise or unpredictable. But at best, that is only slightly true and mainly false. Facebook and Google both want to give you relevant answers. If you start typing in “restaurants” or some other facilities in Google search box, Google will start suggesting answers to you. These answers will very likely to be relevant to you. It is important for Google that this happens, because this is how they make money from advertisers. They have a way of calibrating and correcting this. In fact I am certain they spend a lot of resources making sure you have the correct answer or close to the correct answer. Facebook is the same way. The results you get back are not random. They are designed, built and tested to be relevant to you. The more relevant they are, the more successful these companies are. The responses are generally right ones.
  • If Google shows you these 11 results instead of those 11, or if a hiring algorithm puts this person’s résumé at the top of a file and not that one, who is to definitively say what is correct, and what is wrong?” Actually, Google can say, they just don’t. It’s not in their business interest to explain in detail how their software works. They do explain generally, in order to help people insure their sites stay relevant. (See the link I provided above). But if they provide too much detail, bad sites game their sites and make Google search results worse for everyone. As well, if they provide too much detail, they can make it easier for other search engine sites – yes, they still exist – to compete with them.
  • Without laws of nature to anchor them, algorithms used in such subjective decision making can never be truly neutral, objective or scientific.” This is simply nonsense.
  • Programmers do not, and often cannot, predict what their complex programs will do. “ Also untrue. If this was true, then IBM could not improve Watson to be more accurate. Google could not have their sales reps convince ad buyers that it is worth their money to pay Google to show their ads. Same for Facebook, Twitter, and any web site that is dependent on advertising as a revenue stream.
  • Google’s Internet services are billions of lines of code.” So what? And how is this a measure of complexity?  I’ve seen small amounts of code that was poorly maintained be very hard to understand, and large amounts of code that was well maintained be very simple to understand.
  • Once these algorithms with an enormous number of moving parts are set loose, they then interact with the world, and learn and react. The consequences aren’t easily predictable. Our computational methods are also getting more enigmatic. Machine learning is a rapidly spreading technique that allows computers to independently learn to learn — almost as we do as humans — by churning through the copious disorganized data, including data we generate in digital environments. However, while we now know how to make machines learn, we don’t really know what exact knowledge they have gained. If we did, we wouldn’t need them to learn things themselves: We’d just program the method directly.” This is just a cluster of ideas slammed together, a word sandwich with layers of phrases without saying anything. It makes it sound like AI has been unleashed upon the world and we are helpless to do anything about it. That’s ridiculous. As well, it’s vague enough that it is hard to dispute without talking in detail about how A.I. and machine learning works, but it seems knowledgeable enough that many people think it has greater meaning.
  • With algorithms, we don’t have an engineering breakthrough that’s making life more precise, but billions of semi-savant mini-Frankensteins, often with narrow but deep expertise that we no longer understand, spitting out answers here and there to questions we can’t judge just by numbers, all under the cloak of objectivity and science.” This is just scaremongering.
  • If these algorithms are not scientifically computing answers to questions with objective right answers, what are they doing? Mostly, they “optimize” output to parameters the company chooses, crucially, under conditions also shaped by the company. On Facebook the goal is to maximize the amount of engagement you have with the site and keep the site ad-friendly.You can easily click on “like,” for example, but there is not yet a “this was a challenging but important story” button. This setup, rather than the hidden personal beliefs of programmers, is where the thorny biases creep into algorithms, and that’s why it’s perfectly plausible for Facebook’s work force to be liberal, and yet for the site to be a powerful conduit for conservative ideas as well as conspiracy theories and hoaxes — along with upbeat stories and weighty debates. Indeed, on Facebook, Donald J. Trump fares better than any other candidate, and anti-vaccination theories like those peddled by Mr. Beck easily go viral. The newsfeed algorithm also values comments and sharing. All this suits content designed to generate either a sense of oversize delight or righteous outrage and go viral, hoaxes and conspiracies as well as baby pictures, happy announcements (that can be liked) and important news and discussions.” This is the one thing in the piece that I agreed with, and it points to the real challenge with Facebook’s software. I think the software IS neutral, in that it is not interested in the content per se as it is how the user is responding or not responding to it. What is NOT neutral is the data it is working off of. Facebook’s software is as susceptible to GIGO (garbage in, garbage out) as any other software. So if you have a lot of people on Facebook sending around cat pictures and stupid things some politicians are saying, people are going to respond to it and Facebook’s software is going to respond to that response.
  • Facebook’s own research shows that the choices its algorithm makes can influence people’s mood and even affect elections by shaping turnout. For example, in August 2014, my analysis found that Facebook’s newsfeed algorithm largely buried news of protests over the killing of Michael Brown by a police officer in Ferguson, Mo., probably because the story was certainly not “like”-able and even hard to comment on. Without likes or comments, the algorithm showed Ferguson posts to fewer people, generating even fewer likes in a spiral of algorithmic silence. The story seemed to break through only after many people expressed outrage on the algorithmically unfiltered Twitter platform, finally forcing the news to national prominence.” Also true. Additionally, Facebook got into trouble for the research they did showing their software can manipulate people by….manipulating people in experiments on them! It was dumb, unethical, and possibly illegal.
  • Software giants would like us to believe their algorithms are objective and neutral, so they can avoid responsibility for their enormous power as gatekeepers while maintaining as large an audience as possible.” Well, not exactly. It’s true that Facebook and Twitter are flirting with the notion of becoming more news organizations, but I don’t think they have decided whether or not they should make the leap or not. Mostly what they are focused on are channels that allow them to gain greater audiences for their ads with few if any restrictions.

In short, like many of the IT think pieces I have seen the Times, it is filled with wrong headed generalities and overstatements, in addition to some concrete examples buried somewhere in the piece that likely was thing that generated the idea to write the piece in the first place. Terrible.

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Forget Google Glass: here is where wearable technology is going

As digital technology gets more and more compact, expect to start seeing it combined with new and unexpected things. Wearables will not just be watches and sports-bands, but clothing and jewellery. For example: Meet Ear-o-Smart The World’s First Smart Earring.

Anything you wear, anything you touch, anything you own: all of it will soon have sensors and digital technology in it to talk to your computer and your phone. This is just starting.

Google Glass is dead

And the BBC has a good story on it here: BBC News – Google Glass sales halted but firm says kit is not dead, including this comment that sums things up in a nutshell:

Google has tried to present this announcement as just another step in the evolution of an amazing innovation. But make no mistake – Google Glass is dead, at least in its present form.

I would say it’s been dead for sometime, and while wearable technology is alive and well, this piece of it is long overdue to be written off.

Read the BBC story: it has a good review of the history of Glass, what will happen next, and why Glass never had traction.

How to prevent sites from tracking you – five good links

Do you find it weird when you search for something, then go to other sites, and it seems like the product is following you around? Do you worry that sites are tracking information about you and you want to stop it?

I’d like to say there is an easy way to put an end to such tracking, but it doesn’t seem to be so. If anything, companies like Facebook, Google and others have a big financial interest in tracking you, regardless of what you think, and they are going to make it hard for you to put an end to it all.

That said,  if you still want to take action, I recommend these links. They highlight tools you can use and steps you can take to limit tracking. You don’t have to be technical to read them, but you have to be comfortable making changes to your system.

  1. How to prevent Google from tracking you – CNET – this may be the best article that I read. Mostly focused on Google. There are useful links to tools in here and plugins you can use, like Disconnect and Ghostery. Somewhat technical.
  2. Facebook Is Tracking Your Every Move on the Web; Here’s How to Stop It – This Lifehacker article has more on how to deal with Facebook tracking you than Google, but it is also good.
  3. How to Stop Google, Facebook and Twitter From Tracking You – this piece from ReadWrite talks mostly about the Disconnect tool, but it does it in conjunction with discussion of some other tools. Seems less technical than the first two, if you found the first two links too hard to follow.
  4. How to Stop Google From Tracking You on the Web on NDTV Gadgets has tips that are more manual in nature, if you don’t want to download tools. Also some good information on how to deal with mobile phone tracking.
  5. Delete searches & browsing activity – Accounts Help via Google comes straight from the source of the tracking.

Some thoughts of my own:

  • Consider using two browsers: one for your Google use (e.g. Chrome) and one for other uses (e.g. Firefox or Safari). The non-Google browser you can lock down with blockers and other tools, while the Google oriented browser could be limited to just what you need to integrate with Google.
  • Avoid sites that track you, like Facebook.I know, it isn’t easy. If you have to go on Facebook — you get a call from a sibling asking why you haven’t commented on the new baby pictures there — limit yourself to a few thumbs up and leave it at that. (Knowing Facebook, they will still find a way to do something with even that data.)
  • If you are really concerned, avoid Google altogether and use other search engines, like DuckDuckGo, and other email services, such as Outlook.com. There can still be tracking, but in theory this should make it harder.
  • If you use any of tools, get into a habit of using them and keeping them up to date.
  • Don’t forget to do the same thing on your mobile devices. Facebook can track your activity on your mobile phone, regardless of what you may be doing on the web. You can be tracked via apps just as easily as you can be tracked from your browser.
  • If you do anything else, install the Disconnect plug in and then activate it and go to a newspaper site. You will be amazed just how much tracking is going on. (Also, you do NOT have to sign up for the premium version to get it working.)

Smart Watches: not just Apple

Apple won’t be the only one driving people to use smart watches: Google and other manufacturers are getting in on the action too. For more details, see the Official Google Blog and this post:  Android Wear, moving forward like clockwork.

Teach your kids (and parents…and yourself) how to download software

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Why? Because they are going to do it regardless of whether or not you teach them, and if you don’t teach them properly, there is a good chance they will download malware or at least the wrong software.

To back up, my son was complaining last night he could not download some software for his computer. He had gone onto Google, entered “download software XYZ” and clicked on the first thing at the top of the page. Now often times the first thing is NOT what you want: it is some company that purchased the right to show up first. I told him to instead look at the URLs that are displayed, and look for the company name in the URL. I told him to be careful about what you click on. (The software he wanted was on the first page of the search results, but about 3 or 4 entries down.)

The safest thing is to always have them talk to you before they download something. Or you email them a safe link instead of them clicking on what shows up in Google.

Who will be the big losers in the recent price drops in cloud computing?

Over at The Motley Fool, there is this article, The Big Losers in the Cloud Pricing Wars, that talks about recent price drops for services at Amazon and Google and how these price drops will affect the cloud computing business. (The Cloud Pricing Wars is very dramatic – I am not sure it is an all out battle at this point: we need more time to see if that becomes the case)

Anyone interested in cloud computing should check it out.