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We looked inside some of the posts by lwong15-blog and here's what we found interesting.
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13
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Fun Fact
Tumblr has been banned in Indonesia for providing people with access to pornographic content.
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Rebecca Solnit “World in a Cup”
It was interesting to read how a cup of coffee can hold so much meaning and “life” in such a small object that we hold in the palms of our hands. One sentence that really resonated with me is, “Maybe home can be found at the bottom of a cup of coffee.” Although I am someone who doesn’t really drink coffee, I can resonate with this in application to something else, such as a cup of tea. Like the ingredients that makes up a cup of coffee, a cup of tea also originates from many places before it lands in our own hands. So in a way it is like having the world in the palms of our hands. Each ingredient in the tea or the coffee, has its own story - from the hard work of harvesting the bean/leaves to the person who grinds the coffee beans or bags the tea leaves, etc. Furthermore, straying away from just the story that the ingredients bring, but the space that we acquire these drinks. I have always found cafes such a comforting nook in such a vast world. In such a bustling world today, walking into a cafe really helps slow down our world. It is also a spot where strangers with different backgrounds, culture, career fields and so on come together. So not only is the cup comprising all the stories around the world, but the place we acquire it also brings a lot of people and things together.
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Scott McCloud “Time Frames”
This excerpt from McCloud’s graphic novel was an interesting read because I’ve never really thought about time in graphic novels. Each frames in a graphic novel had always seem to be a point in time to me rather than multiple moments boxed into one frame. However, the way McCloud had explained it makes a lot of sense, “Our eyes have been well-trained by the photography and by representational art to see any single continuous image as a single instant in time. But the actions that we see occurring seemingly at the same time obviously can’t be!” The reason for this is because for example, when an image in a frame is trying to capture a picture being taken, the action of taking the picture happens in multiple steps but in minuscule time (ex. Pressing down the button to take the actual picture is already more than just a single instant in time). It’s honestly interesting how our human brain is unconsciously wired to think a certain way naturally and think that it’s truth when in fact it isn’t.
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Schimik “Scales of Experience”
From reading this article, I unconsciously linked it to our final assignment that got introduced in class today (03/26). We were also shown a video, “Powers of Ten”. The reading was broken down into narratives of description of perspectives into 8 parts. In doing so, as I read each parts, it made me feel like I was breaking down each layer and going more in depth, just like we were as we watched “Powers of Ten” - from going broad to minuscule specificity.
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Ravi Parikh “How to Lie with Data Visualization”
Data visualization is an important tool to have to analyze data. However it is also one of the easiest system to mislead and hide truths from viewers. One of the easiest way to skew data is through the x- and y-axis of a chart. Instead of starting at the same starting point in both axis, one axis can be starting at a different number to purposely show a bigger gap than it really is between the factors shown. Hence making the graph, data, and message skewed.
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Mushon Zer-Aviv “Disinformation Visualization”
We tend to skew data when we present it without intentionally knowing that we did. For example, as stated in the article, one tree icon on a map often represents more than just one tree. However, the readability of it is a big reason as to why we “misrepresent” something. We also take into consideration that rather than the truth, it is a representation of what one’s trying to convey. So going back to the tree example, although we do see just one tree on the map, we know that that’s only a representation that there’s nature there and not just actually one tree.
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Tom Simonite “Machines Taught by Photos Learn a Sexist View of Women”
Image-Recognition softwares are injecting biases into their systems. In other words it is injecting the stereotypes and schemas that we see in today’s society into technological data bases and systems. Therefore this could be a big issue in skewing big data and the information we receive. This is especially prominent in gender biases - “Images of shopping and washing are linked to women, while coaching and shooting are tied to men.” Hence this is an issue in machine-learning softwares that are trained on the dataset. It doesn’t just mirror those biases but it furthers amplifies and creates an even stronger association. In my perspective, the reason why machines taught by photos learns a sexist view of women is because we only really have databases that dates back to the past that are more of a “valid” data. However, the mindset from the past has a bigger gender bias gap than we do nowadays. Therefore the information that’s projected from a machine that’s taught through data will produce misleading facts like sexist views on women.
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Paglen “Seeing-Machines”
As the technology around us revolutionizes, the meaning behind terms that we once knew are also changing in its representation and what it stands for. In this case, photography has undergone a transition, where to fully understand what it encompasses, we have to develop an expanded definition of what we mean when we talk about “photography.” Here, Paglen views “photography” as “Seeing-Machines.” It encompasses not only how human uses this technology to see the world but the way these machines sees the world for other machines. Nowadays, “Seeing-Machines” aren’t just the typical and traditional cameras that we think of - the ones with viewfinders, photosensitive films, and so on. It includes everything from iPhones to Polaroid Cameras to QR code readers to surveillance cameras and so on. All in all, the big idea of these seeing machines is that there isn’t a confinement of definition and representation to these imaging devices and systems.
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Algorithmic Image Assignment
Start in the second floor of the Art and Design building
Go to the end of the hall and you’ll see a transparent glass
Look out this this transparent glass and peer through these repetitive long rectangular horizontal strips until you see the other side of the glass
Look far out into the horizon, there’s a long tall cylinder-shape and within that a ladder-esque silhouette.
Please capture a photo of what this is!
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Errol Morris “What’s in a Name”
In this article, it really posed questions that I’ve never thought about before. I have never thought pass the time where we didn’t have passport. For some reason, I’ve taken passports for granted and thought that they’ve been here as long as we had our own identities. Nowadays, we can’t go anywhere without an identification. As Morris have stated: why does a small booklet have such a strong power over our identity. If the description of our height and other appearances does not hold as much weight and/or importance, then why do we have that on our passports? If what’s important in a passport is our fingerprints then what’s the need of this booklet besides it being a symbolism of our own identity? From reading this article, my thoughts went off into tangents of what defines our identity in society and if an identity is that easily fraud, then what does that say about our “uniqueness”?
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