Selected by Spotify "Recommended Songs" algorithm. Based on tracks shared with this lifestream.
Says
By Nils Frahm
From the album Spaces
Michael Wolfindale's EDC lifestream
Education and Digital Cultures 2020 lifestream-blog
Selected by Spotify "Recommended Songs" algorithm. Based on tracks shared with this lifestream.
Says
By Nils Frahm
From the album Spaces
Selected by Spotify "Recommended Songs" algorithm. Based on tracks shared with this lifestream.
Looped
By Kiasmos
From the album Kiasmos
Recommended by "Artists You Should Know" through SoundCloud's "Discover" algorithm.
Recommended by "Artists You Should Know" through SoundCloud's "Discover" algorithm.
Recommended by "Artists You Should Know" through SoundCloud's "Discover" algorithm.
Recommended by Pocket's "Discover" algorithm.
Jordan wanted to build an unpredictable trap. An 11-year-old in dark horn-rimmed glasses, Jordan is a devotee of Minecraft, the computer game in which you make things out of virtual blocks, from dizzying towers to entire cities.
Selected by Spotify "Recommended Songs" algorithm. Based on tracks shared with this lifestream.
Luminous Beings
By Jon Hopkins
From the album Singularity
Recommended by Pocket's "Discover" algorithm.
In March 2018, Donald Trump, addressing a crowd of donors at his Florida estate, told what sounded like a joke. He was talking about the recent amendment of China’s constitution to remove presidential term limits, allowing Xi Jinping to serve in that office indefinitely.
During my studies on this course, I bought a few ebooks from Google Play Books, such as Unthought: the power of the cognitive nonconscious (Hayles 2017). This appears to have influenced my recommendations, and there are others related to topics I’ve looked at in previous courses on this programme. However, there are also some other potentially unrelated books thrown in (maybe randomised, based on popularity or something else Google knows about me)?
Here are a few screenshots on Twitter users recommended to me, based on a tweet I liked. I sense here that, should I follow all these users, I may be entering an ‘echo chamber’ or getting into a ‘you loop‘…
NB: I did follow a number of these users, and noted that later tweets did tend to broadly have similar viewpoints or at least regularly discuss similar issues.
Below is another different kind of recommendations feed on Twitter – ‘you may be interested in…’. Many (but not all) of these felt less ‘relevant’ to me – either being based in a different geographic location or not being an area I was interested in. I assume these are users that may of those I follow have liked or follow themselves – a slightly more distant connection. If I was to follow these users, I suspect it would be more likely that my feed would become closer to those I follow, again with the potential of creating an ‘echo chamber’.
The “echo chamber” is an issue that has been widely written about, but appears prevalent here. While I am aware of it, I still find myself unwittingly engaging in it, perhaps keen to be “up to date” with the latest from those I agree with. However, I am increasingly finding this limiting and would prefer more engagement with those I do not broadly agree with. I am aware Twitter are experimenting with exposing people to opposing views although it has been met with skepticism by some.
For me, the timeline still appears to be presented in such a way that you are receiving a wide range of views/news/updates, despite this not being the case. Furthermore, I cannot see any evidence that Twitter have our “best interests” at heart, since they are ultimately a company seeking profit.