I should be tired of this now – the same diet every day. Before my kids burst into my room, I update my email, browse through twitter, and open the NYT on my phone. None of these works get complete. By the time the kids go out of the door, the loo awaits with the New Yorker, the LRB or the Private Eye. I manage to read half an article because I am always late for class.
On the way to class, a BBC podcast – In Our Time – often tells me about some philosopher or a historical event that I promptly forget.It’s also a great way to fall asleep. On the road, I often check twitter and occasionally facebook. When I get frustrated, I read the headline of NY Times and then give up on news. It’s too depressing. Self control has been a great app. While working, I turn off facebook and twitter and get a solid hour. Otherwise, I flit – between writing and reading some random post on facebook that makes me numb. At night, I read – printed articles – so that I don’t get too tempted to browse aimlessly.
But the weekend was a special one. We were headed to NY on a bus – and that meant books were to be read. I managed to read a story by W Summerset Maugham called ‘Rain’ – an assignment for class, on the bus. Then I read a book that I have been struggling with for a while – ‘An association of small bombs’ by Karan Mahajan – a story of an explosion in New Delhi. The fact that internet was intermittent meant I could really read.
In NY, my phone acted as a map. If you have five and six years olds, you soon realise that the best way to quieten them is to show them a moving blue dot on a complicated subway map. I showed my children films – on Netflix – projected on to a big screen. I watched Disney’s Tarzan and Finding Dory with my children. I used my phone to call and send text messages – and it felt that that’s what phones were made for.
On Monday, as the bus left NY, I held on to my phone and realized that the weekend is over. I went to my weekday mode, browsed twitter once again, read about politics in Nepal and when I got to US politics, I gave up. Twitter is way too obsessive and if I were smart, I’d have quit a long time ago.
I used Rescue Watch to track my media consumption but was not completely satisfied with the detail of reporting I received at the end of the week. I would have liked more in-depth information about the sites I was visiting (rather than the top three per category), as well as how the program chooses what to classify as “news and opinion” vs. “references and learning” etc. Another problem with this program is I have a very dangerous tab habit in which I average about 40 tabs open in a browser at at time and they may stay open for weeks…so I think the time analysis per page was somewhat skewed, Nonetheless, the snapshot view provided by the platform as well as some additional reporting and recording on my part provided me with a few takeaways:
After tracking my computer usage for 6 days, I was interested in three questions:
Tracking all my media usage was not as difficult as it may have been for others in the class. I don’t use a smartphone, so I have no mobile consumption (beyond phone calls!) I occasionally read print sources, such as The Tech, but that contributed to fewer than 30 minutes this past week. Almost all of my media consumption is done through my computer, which I’ve been tracking with an application called Timing.
To answer the first question, I reviewed all the time I spent on my laptop and divided it into two broad buckets: productivity and media usage. This was more of an art than a science. I thought of productivity as any application or website in which I was actively producing something (e.g. writing something in LaTeX, composing emails, reading a pset on the computer while solving it on paper, buying stocks, etc.)
These tasks served as a nice benchmark for the thing I was really interested in: my media usage. I defined this category as anything that wasn’t “productive” as defined above, i.e. consisted almost entirely of consumption. This included reading news or blogs, browsing Facebook, or even reading other posts on this website!
Granted, these categories were separated by a fuzzy boundary at best. Some things like email were hard to classify: when was I consuming emails and newsletters vs. when was I preparing an email? Furthermore, Timing had trouble knowing when I was actively viewing something on my computer, so all the data should be treated as having huge error bars. (Times are probably underestimated.)
I believe the results still yield interesting results, however:
My media consumption is (thankfully) consistently lower than my productive uses of the computer. It is still considerably large, however. What surprised me was that I wasn’t spending a lot of time on any single website, but rather that I was spending a little time on many websites, which added up to significant periods of time in “consumption mode.” (See the chart below for more context.) Consumption in the age of the Internet is incredibly distributed.
My overall usage of the computer was lower on the weekend as expected (see Feb. 18, a Saturday). However, the weekend is also when the highest percentage of my computer time is spent on media consumption.
The chart below sheds light on my second question:
Google Hangouts, which I included in media consumption (although that could be debated), took up 149 minutes because of several videochats I had this past week. (One of these was a conversation with other Americans across the country discussing the recent political events.)
As a subscriber on the NYTimes, I’m happy to see it make it into my top 3, and the time I spent on it is about what I’d expect.
To answer the third and final question, however, requires a more aggregated analysis:
This chart yields the most value for me.
Social websites like Facebook and Twitter are having a large impact on how I see the world, even if I don’t go there for traditional news. That’s because they make up over half the time I spend consuming media on the computer. Just by the nature of scrolling through their newsfeeds and adhering to their algorithms, I am being shaped by them.
I don’t read the mainstream media (like NYTimes, Washington Post, and WSJ) as much as I would expect. When I think about where my opinions form and where I find the facts that I reference in conversation, they usually stem from these mainstream sources. However, given that only a fifth of my media consumption comes from there, I must be weighting these sources substantially higher in my head because of the perceived credibility that comes with them.
I was happy to see that new forms of journalism (like BuzzFeed and MuckRock) are the next largest category. These are sources that can provide alternative perspectives and in new forms. I intentionally try to seek them out, and so it was reassuring to see that I’ve been somewhat successful in keeping up with it.
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To end on a fun note, here are some fascinating tidbits that I picked out from my week’s worth of data:
I moved from my home country to Boston a couple of months ago. My everyday routine has completely changed including the ways I gather information through the media.
This week’s assignment was interesting because I wanted to know a few things about myself. Has my TV watching habit changed in a new country? Am I getting good information? And have I succeeded in escaping the filter bubble, which was an idea that I was determined to work on after the election?
I used RescueTime and time-logging by hand for 7 days between 2/8 to 2/14 and created the below visual based on the data from 2/9, which was the day I spent the longest hours consuming the media. Electronic devices that I checked were 2 smartphones, 1 tablet, 2 computers, a TV set and TiVo. In order to focus on the type of media, I excluded the time for business, research and communication.
This assignment has given me a chance to review my everyday routine and opened my eyes to an important fact. I no longer care if my current habit is different from my past or if it is balanced or not. It has been a cold winter. I often chose to stay at home. But now it’s time for me to stop being a consumer and start being a producer.
This analysis is based upon 2 tracking apps – Moment on my smartphone, and RescueTime on my computer. I did not consume any content through any other devices (no books, newspapers, or TV)
Using the Moment app, I tracked how much time I spent by application for 5 days.
This was not super insightful, so I bucketed the apps into these categories:
Using these categories, the analysis became more clear:
Communication and Content Consumption seemed like the most prevalent categories, but Content Consumption seemed more relevant to the nature of this assignment so I looked more closely into that category.
As this chart shows, Facebook (in gray) and YouTube (in orange) make up the majority of my sources ON MOBILE. This makes total sense:
To analyze my media usage patterns on desktop, I had to rely on RescueTime’s free online dashboard tool.
Looking at the overall productivity summary didn’t really tell me much:
Looking across the dates, a couple things stick out:
Let’s try to explore that further:
As I start looking into the categories, some interesting insights start to appear:
Diving a bit deeper into the categories….
I’m beginning to think that I really don’t read or consume as much content as I thought I did! All of the displayed categories are not content consumption sites (Facebook articles would link out to different tabs so would be counted separately).
Looking at the day by day breakdown, the light gray category (Everything else) is one that I really wish I could learn more about. I’d like to think that this is the collective aggregation of my browsing and read various news sources.
One additional way I tried to check if I could dig deeper was by looking at time breakdowns by Category.
“Reference” is 3rd highest category there, which I thought could indicate consumption, but double-clicking on that, I saw that it was pretty much all OneNote and Adobe Reader (which are the tools I used most for homework and interview prep).
“Uncategorized” was in the middle of the pack, but double-clicking on that just showed me a bunch of sites associated with classes and the companies that I was interviewing for last week.
Finally, I decided to look at how the time split out by day
Looking at these categories, I would say “Communication & Scheduling” (in light blue), “Reference & Learning” (in light green), and “Design & Composition” (in dark green) all reflect time spent being productive for something career or education related, and they take up about half of the time each day. These represent a tight mix of both consumption and creation.
Overall, I’m pretty happy with this analysis highlighting that I tend to spend time pretty effectively and manage to stay on task. However, as noted before, I would really love to further understand the “other” categories and specifically how my YouTube use breaks down between more useful, news-oriented content vs the youtube black hole of cat videos 🙂
Our group discussed a common problem with wake-up apps: How often we hit the snooze button. So we came up with a feature that allows the user to set up two separate playlists — songs you love and songs you hate.
When the alarm clock rings, you can select the “hype” playlist or the “hate” playlist for the next time the alarm sounds to get you out of bed. We also discussed ways to integrate the alarm app with services like Spotify and Pandora and use them to further randomize the hate/hype based on the preferences you’ve already stored.
And here are the original mockups:
From Josh, Aaron, Sruthi and Maddie
Idea by Subina
Design by Drew
Comments by Kyountae
Idea: a simple alarm clock app