Anne’s Media Diary

From Sunday 2/12/2017 to Saturday 2/18/2017, I tracked my media consumption with RescueTime on my laptop, RescueTime on my phone, and logging time by hand.

This is how RescueTime and my discrete hand-logged records claim I spent my time:

However, my own logs showed the real picture.  With my laptop, a second monitor at home, my phone, and countless apps, I’m constantly multitasking, or at the very least, switching between activities.  

I send my friends excerpts from news articles as I read, providing (unasked for) running commentary.  I run Netflix in the background as I plan out my day in Google Calendar on my second monitor.  I read a case for class, and WhatsApp notifications pop up on my phone, so of course I check them.  

While listening to music on my phone and walking to class, I scroll through Facebook, see an interesting article posted by someone I vaguely remember from summer camp a decade ago, Gchat the link to my friend from college, and start chatting about it, continuing throughout the day.

I originally thought this would be a lesson about distractions and lack of depth in media consumption, but it’s instead about the discussions.  Over the last year, I was oddly proud of myself for actively trying to see other perspectives by actively clicking on Facebook links posted by people with different ideologies.  But that isn’t sufficient — there’s a difference between simply consuming information and being immersed in discussion about that information.

Tyler’s media diary: Using data to break bad habits

I had a suspicion going into this assignment that I’ve developed a few really bad media consumption habits:

  • I spend too much time on Twitter, which is skewing my perception of news coverage.
  • I “graze” way too much, opting for reading headlines instead of reading stories. This means I’m much less informed than I think.
  • My desire to be constantly “in the know” means I almost compulsively check social media first thing in the morning, throughout the day and last thing at night, so it’s more difficult to balance my media diet.

After tracking my media consumption from Feb. 15 through Feb. 20, I can confirm all of these three bad habits are true. The problems may actually be underrepresented, given that this period was a fairly atypical week (as I’ll explain).

Because I wanted to track media consumption across multiple platforms, I opted not to use RescueTime and noted everything manually in a Google Spreadsheet as the week went on. I cross-checked entries with my Google calendar, browsing history and Twitter history to make sure I wasn’t missing anything. I didn’t count reading email, unless there was some specific content there that fit the definition of “media” (a newsletter, for example).

The first big finding is pretty glaring: Social media accounts for nearly a third of the time I spend consuming media. Break that down further, and you can see that within the social media category, Twitter takes a lot of the air out of the room.

Twitter is followed by Reddit, which I mostly consume at night before I go to sleep (I also need to cut down on how long I play video games, an issue I blame solely on Stardew Valley).

I’ve made a concerted effort over the last few weeks to spend less time on Facebook, which is why it appears so small in the chart.

One thing to note about the time period recorded: Over the long weekend, I took an out-of-town trip with friends to a spot without great Internet service. I suspect that if I were to repeat the media diary for the next few weeks, there’d be even more Twitter usage, although this may be offset by more media consumption in general.

If I had to guess before taking a closer look at the numbers, I would have said I spend far more time consuming media by phone than by laptop. That’s clearly untrue.

Also of note: I despise online video. Although I didn’t graph this particular breakout, almost all the video I consume is through the TV (in this case a Roku stick), and not through mobile or laptop. And although I do often listen to podcasts, NPR or other broadcast media, I didn’t really do that over this time period.

So despite some data collection problems, it’s pretty clear I’ve got some media consumption issues I want to address:

  • Spend less time on social media — specifically Twitter.
  • Seek out platforms that use more than just immediacy as the driver for news judgement: Instead of the “happening now” on Twitter, find what news editors think is important on the home pages of local and national news organizations.
  • Change the nighttime routine: Use the evening to read physical media or dive deeper into stories flagged online earlier in the day.

Two tools I think will help are Nuzzel, which alerts you to stories being shared often in your timeline, and Pocket, which allows you to save stories and other content you see through either your mobile device or laptop to read later. I’ve already signed up for these services, but I don’t use them often enough to help me consume more content, instead of just reading headlines.

Mika’s Media Diary

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.

  • In Japan, I used to read a newspaper, magazines and books, watch TV (7 terrestrial and 2 satellite channels), and checked social media feeds in Japanese.
  • In Boston, I’ve subscribed to digital editions of newspapers, cable TV channel RCN (287 channels) + TiVO + TV Japan , Amazon Prime Video, and radio podcasts. The social media feeds I check are in English.

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.

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Arthur’s Media Diary

Image

Source:

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)

Time Period:

  • RescueTime: Feb 8, 2017 – Feb 18, 2017
  • Moment: Feb 14, 2017 – Feb 18, 2017

Mobile Consumption Analysis

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:

  1. When I’m on the go, I browse through FB, and any articles that I find and read are opened within the app
  2. When I am walking, I don’t like to read much, but still like to stay up to date on news, so I typically find YouTube videos from various news networks and watch those. This explains the high YouTube minutes on 2/14, 2/17, and 2/18. On 2/15 and 2/16, during my walks to/from the T, I was on the phone, and so couldn’t consume content those days (This can be seen in the chart above, where the “Communication” category has relatively more minutes those days as compared to others)

Desktop Consumption Analysis

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:

  1. Something good for my sanity is that on weekends (2/11 and 2/12), I spend less time than most weekdays. (It also makes sense that on Tuesday (2/14), I also had relatively low time, since that’s my most class-intensive day)
  2. The split between productive time (in blue) vs neutral (in gray) vs distracting time (in red) doesn’t seem to showcase any interest trends. However, I think that’s because it’s very unclear what falls into each of those categories

Let’s try to explore that further:

As I start looking into the categories, some interesting insights start to appear:

  1. YouTube is CLEARLY my entertainment of choice….. and while I’d like to think most of that time consists of watching various news segments, realistically, I’m sure a solid proportion of that is more in the cat-video-category of content….
  2. Email and messaging (WhatsApp) take up a massive portion of time, and while that may seem surprising to most, I’m not surprised. The reality of most work today is that it is collaborative by nature. This means these tools are critical to that
  3. I’m glad facebook is not in any of these top 3 categories, yet I’d love for this to show me how much of my FaceBook time is spent reading articles

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 🙂

Snoozing differently

By Anne, Jeneé, Michelle and Tyler

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.

 

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Anne Crosby

I’m Anne Crosby, and I am a first year student in Harvard Divinity School’s master of theological studies (MTS) program. I am focusing on Chinese politics, ethics, and religion.

I majored in History and East Asian Studies as an undergraduate and went on to earn a masters degree in information science. After teaching at the post-secondary level in California and earning an Ed.M., I decided to combine my interest in technology with my background in East Asian and pursue yet another masters degree.

I’m certainly not a master programmer, but I have basic coding experience, UI, and web design skills. For me the internet is about culture and human interaction—technology is a means but not an end. This course is exciting because it will be an opportunity to collaborate with some amazing classmates. I have no experience in journalism, but I love putting my info. science background to work sifting through tidbits of information and connecting the dots.

I am a consummate traveler and take every opportunity to explore the world outside of the US, spending most of my time in South and East Asia; however, Antarctica is the most incredible place I have visited. Amazing.

Things I think about sometimes:

• <i>What’s</i> the news that’s fit to print?
• <i>Who</i> the heck printed that anyway?
• Also:
o Soft power, propaganda, transnational trolling
o Networks of trust
o The role of local/localized news in civic engagement
o Net neutrality and censorship
o Internet sovereignty vs. a free and open internet

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Tools and bio: Mapping religion

I am a religion reporter and I feel like we don’t have a great, organic understanding of religion’s role in America today. I’d like to find a way to study social media data that would help me understand where the true power centers/ideas/players are, to map out American Religion in 2017.

Here is a link to my work:

https://www.washingtonpost.com/people/michelle-boorstein/?utm_term=.7171a46bc141

 

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