Homework #9: Content curation, reading & blogging

The point is that new tools in general, and Twitter in particular, greatly challenge the binary dichotomy of attention as something that is either given or taken away, distracted. Instead, these tools allow us to direct attention to destinations where it can be sustained with more concentration and immersion.”

I found this particular quote from the article interesting because it discusses how new forms of media do not fit in strictly cut categories, just like how “content” and “curation” are morphing and changing to follow those new forms of media. Platforms like Twitter and Tumblr are often used not only to show and discuss different topics of interest, but also to move attention to different ideas that may not be readily available immediately on the aforementioned media platforms. The second part of my selected quote summarizes that in a much neater fashion. For those of us who use social media as a way to get information and news, we don’t read the headline of an article written in a tweet and go, “Well, I guess that’s it!”. If it is genuinely alarming or intriguing, one would click on the linked article or web page to read further in depth of what was summarized or introduced in the tweet or post. Of course, curating certain content together could produce a certain response, such as an environmentalist consistently posting articles about climate change and endangered species and peoples. Someone who is exploring that individual’s page would see the patterns of the content they have collected together and see that they are concerned with the state of our planet. Maybe after noticing that pattern, they might look into the issues themselves and create their own curated lists of content that other people might become interested in as well. This fits well into the space of “directing attention” as opposed to “[giving] or [taking] away”, and it’s interesting to see how more and more posts and tweets fall under that category.

Homework #8: Anonymous Data, Reading & Blogging

When I think about my personal web browsing habits, the first things that come to mind are the social media sites I use most and what I tend to gravitate towards when online shopping/browsing. I use Facebook Messenger, Tumblr, and Snapchat the most, so those three websites alone can easily identify me as either millennial or Gen Z. I also read a lot of web comics, all of which are rated PG-13 and over, so I can be identified as at least a teenager. As a kicker, I’ve been doing a lot of research into college life, like what things I should buy for my dorm, what kind of classes I should take/avoid for my major, etc., so that lands me right in the college student category. I also do a lot of online shopping and browsing for succulents, stationery items, and typically “feminine-branded” things, so all of those combined can be used to identify me as someone who enjoys gardening, crafts, and is female. In fact, I have already seen this in action. Ever since I started looking up cute stationery items like decorative paper or stickers or washi tape, I would get ads on Amazon and Google that would recommend those to me. When I began to have an interest in raising succulents, Instagram showed me more and more ads about accounts with succulents and various stores that sold them. That’s when the reality of my data not really being privately really hit me, and I looked into more data privacy methods, but that’s probably out there now, too.

Homework #6: Data Viz Blogging

Who Old Are You?

This data visualization from informationisbeautiful.net takes in your date of birth and compares you to many, many other people and events in life using a dotplot. Each of the colors represents a type of event, usually corresponding to a certain person, while the black dot represents where you are on the visualization. For example, my age is 18, and right behind my dot is Frida Kahlo’s beginning of painting. The dots are placed along a vertical and horizontal axis, where the vertical represents the amount of people at that approximate age while the horizontal represents that age at which a certain event or associate person is placed. What I can see here is that I am right at the cusp of where many famous individuals had their start. What I find most interesting about this data visualization is that I can really see that most people had their start at an older age at me, which is somewhat reassuring as my peers and friends, along with myself, feel that they need to “catch up” with others at various competitive values, such as academics, career, sport, etc. I also like that despite the large amount of dots, it’s still very readable and shows a clear pattern.

Hot Days

This data visualization from flowingdata.com takes your hometown and birth year to output a series of line graphs that show the number of days on average per year where the temperature exceeded 90 degrees Fahrenheit. There are two axis: the vertical represents the numbers of days on average per year that were hot, and the horizontal represents each year that has passed (and to be passed). For example, I used my birth year (2000) and my birth town (Duluth, GA) and found that it was relatively hot that year, which made sense seeing as it’s Georgia. Then, the data visualization showed me that today, it would be an average of 42 hot days a year, which is an 8 day increase from the previous graph. The final graph shows a prediction for the next 60 years, which shows a significant increase in hot days per year and includes an approximate range since the statistics are predictions that cannot be pinpoint accurate. This data visualizations purpose is to show the trend of increasingly warmer and warmer summers due to climate change. I find it interesting that they used data like birth year and hometown because it’s more personal, so it’ll have more of an impact to those who are viewing the graphs.