Talking smartphone privacy on ABC Radio’s “Life Matters”

ABC logoA few weeks back, I had a conversation on Twitter with Natasha Mitchell, presenter of ABC Radio National’s Life Matters, about smartphones and just how much data they’re handing on to, well, all manner of organisations. This morning we came back to that conversation live on national radio.

Do you know what data you’re really sharing, and with whom, when you download and use smart phone apps? Companies are collecting as much as they can get away with, says Stilgherrian.

We spoke for 20 minutes and covered a lot of territory.

If you want to know more, then you can listen to my guest lecture at University of Technology Sydney (UTS), and then follow the links to more than 30 references.

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The audio is of course ©2014 Australian Broadcasting Corporation, and it’s served here directly from the ABC website.

Algorithms and the Filter Bubble, Take 3

[Update 5 April 2015: There is a more recent version of this lecture, presented in September 2014, but it has not been posted yet.]

Title card for "Algorithms and the Filter Bubble"On Monday 7 April, I delivered an updated version of my guest lecture to media students at the University of Technology Sydney (UTS), “Algorithms and the Filter Bubble”. And here it is.

What’s it about? It’s about what we now call — this year at least — “big data” and how that’s changing how the media works, just like it’s changing every other part of society.

I cruise through what all this data is, where it’s coming from, who’s collecting it and where it’s going; what advertisers and media companies and others can do with this data; and some speculation about how this might unfold in the future.

There’s links to all the references over the fold, and you can follow along with the slides (PDF). The recording picks up immediately after I was introduced by the course coordinator, Dr Belinda Middleweek. A transcript may or may not follow at some point in the future.

Some people mentioned that last time it was difficult to follow some of the slides, as the PDF file didn’t show how the builds happened, so I may add a video slideshow version at some point too.

The audience was primarily first and second year students at the beginning of their media studies degrees.

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[If a transcript ever becomes available, this is where it will appear.]

What was left out at the end

I didn’t keep a close enough eye on the time, which is most unprofessional of me, so I had to drop a couple of things at the end of the lecture. So what did we miss?

My planned closing was to speculate a little more about the implications of all this technology — essentially the material covered in references 26 through 30 below.

When advertisers and newsmakers know all about you, including where you are and what you’re interested in, and when robots become so good that they’re able to tailor news and advertising precisely for your interests and current state of mind — what does that mean for political persuasion, and other kinds of persuasion?

Watch the videos of the robots from the US Naval Research Laboratory responding to everyday human speech. Consider Apple founder Steve Job’s comment that the iTunes Store gives you “freedom from pornography”. Consider than in a world of filter bubbles, some news outlets with a political agenda might want to give you “freedom from confusing thoughts”. After all, Apple has already blocked from their App Store an app that provided information on US military drone strikes.

Just where might this go? As I told the media students at the start of the lecture, they are the ones who will be creating this future for themselves and their descendants, not those of us in the second half of our lives.

Licensing and Re-Use

This work is made available under a Creative Commons BY-NC-SA license. This presentation may be re-used for non-commercial purposes within the terms of the Creative Commons license. The non-commercial and share-alike conditions are required to adhere to the licensing of the imagery used. Please contact me if you require an alternative version. As a minimum, attribution should read: “Source: Stilgherrian.” Online versions must link the word Stilgherrian to the website at stilgherrian.com.

Continue reading “Algorithms and the Filter Bubble, Take 3”

Algorithms and the Filter Bubble, Take 2B

Title slide for Algorithms and the Filter BubbleAnd here’s the second version of my guest lecture at the University of Technology Sydney from Monday afternoon.

Pretty much everything I said about the morning lecture applies to this one, including the link to the slides

All of the references mentioned in this lecture are listed in the previous post.

Play

[When the transcript becomes available, this is where it will appear.]

This work is made available under a Creative Commons BY-NC-SA license. This presentation may be re-used for non-commercial purposes within the terms of the Creative Commons license. The non-commercial and share-alike conditions are required to adhere to the licensing of the imagery used. Please contact me if you require an alternative version. As a minimum, attribution should read: “Source: Stilgherrian.” Online versions must link the word Stilgherrian to the website at stilgherrian.com.

[Update 29 August 2013: Fixed broken link to the slides.]

Algorithms and the Filter Bubble, Take 2A

Title slide for Algorithms and the Filter BubbleAs foreshadowed, on Monday I delivered an updated version of my guest lecture at the University of Technology Sydney, “Algorithms and the Filter Bubble”. And here it is.

There’s quite a few changes from the lecture I gave in March, because I wanted to update some key examples.

In fact there’s two versions of the lecture, because I presented it twice — once at 0900 and once at 1300 — and some of the content was improvised around my moderately detailed notes. So I’ll bring you both versions. This is the first, with full audio and the slides.

The repeat of the lecture later in the day was slightly different.

There’s links to all the references over the fold.

As previously, the recording picks up immediately after I was introduced by lecturer, Dr Belinda Middleweek. A transcript may or may not follow at some point in the future.

The audience was primarily first and second year students at the beginning of their media studies degrees. Again, it seems that almost all of this material was brand new to them.

Play

[If a transcript ever becomes available, this is where it will appear.]

This work is made available under a Creative Commons BY-NC-SA license. This presentation may be re-used for non-commercial purposes within the terms of the Creative Commons license. The non-commercial and share-alike conditions are required to adhere to the licensing of the imagery used. Please contact me if you require an alternative version. As a minimum, attribution should read: “Source: Stilgherrian.” Online versions must link the word Stilgherrian to the website at stilgherrian.com.

Continue reading “Algorithms and the Filter Bubble, Take 2A”

Talking future politics on ABC RN Sunday Extra

ABC logoEarlier this morning I took part in a conversation on ABC Radio National’s Sunday Extra about the future of politics and political campaigning, given new media technologies and suchlike.

Also participating was John McTernan, the British Labour Party political adviser, political strategist and commentator, and latterly the director of communications for Prime Minister Julia Gillard here in Australia. Oddly enough, we seemed to be in furious agreement on many of the issues.

The piece was actually recorded on Friday afternoon. Host Jonathan Green had told us beforehand that he was after a 15-minute chat, but we ended up recording nearly 30 minutes of material. Much editing was done.

Here’s that edited version, as it was broadcast, taken from the full program audio on the item’s web page at the ABC.

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This audio is of course ©2013 Australian Broadcasting Corporation.

They’re letting me lecture to students regularly now

University of Technology Sydney logoApparently I’m not scary enough for the University of Technology Sydney (UTS). My guest lecture earlier this year, Algorithms and the Filter Bubble, is now a regular fixture.

I was rather chuffed to be told a few weeks ago that the students had voted it the best lecture of the semester, and their course feedback said the material had to remain in the course. So I’ll now be delivering a similar lecture once a semester.

Well, twice this semester, because high student numbers mean that I have to give two performances, at 0900 and 1300 on Monday 26 August.