A MTurk Exploration of Activity Stream Usage
These are some slides from a presentation I gave on some Mechanical Turk data I collected about how people are using Activity Streams (also called News Feeds). Specifically, I was interested in what tools people were using, what they were using them for, how these tools might be improved, and how people had been using these tools to collaborate/coordinate. Here’s what I found:
The data collected and the major points were fairly straightforward:
Participant Demographics:
- Age: Mean = 25.6, SD = 8.0
- Education: Almost all were mid-college or post-college (and about 1/6 post-graduate study).
- Usage: Most (56/78) reported specifically personal usage, and only 2 subjects reported specifically professional usage (14 indicated both, however).
Tools Used:
- Vast majority listed Facebook (61/78) – this was unsurprising (also, Facebook Stream listed as first example of an “activity stream” in survey instructions.)
- Wide Twitter usage (41/78) was surprising, however. Past experiencing with polling for Twitter-related topics on MTurk had resulted in low yield. Perhaps this is due to the crazy upswing in Twitter sign-ups over the past few months?
- Other than MySpace (16/78), tools such as LinkedIn, Yammer, FriendFeed, and others were barely listed, indicating either that these tools are not widely used or that people do not consider some of these to be activity streams.
Functions Served:
- Note: These responses were loosely categorized by me – this was not intended to be a rigorous academic study, but rather a glimpse into usage of these tools.
- Status(33/78), Communication(32/78), and Information(19/78) were listed as the most common functions served.
- Responses also demonstrated a wide variety of usage, however, including some less anticipated uses such as Journaling. Perhaps this speaks somewhat to the flexibility of these tools and the ability that users have to adapt them to their own needs.
Feature Requests / Improvements:
- These are exact quotes from participants (again, loosely grouped into categories by me – no cross-coding was done).
As you can see, the “Summary” was really just a reminder about what people said regarding potential improvements, but I thought this was really the most interesting part. It’s interesting that most of the things that people asked for were things that are either available or which could be easily made available by new activity stream client applications, so there may be a lot of low-hanging fruit out there for application developers.
I’d be curious to see if any of you has done (or seen) similar research regarding Twitter, Facebook, or other activity streams (whether on MTurk or otherwise) and if you found similar or different trends. If you are interested in clarification, more details, or discussion about any of the points brought up here, the comments section awaits.
Very interesting indeed, I got to thank you for sharing this.
Incredible research and this could be very valuable to the right person. I already have ideas streaming through my head, unfortunately those ideas are directly connected to my wallet! Oh, if I only had the money.
Hank
real estate license
I can't help but to agree with you those data are straightforward well this guys are such a genius
I found our blog really useful.. Using a those popular social media you'd list, I'm sure that that this will be successful…
very interesting survey, thanks for sharing! did you publish these results in a scientific journal or conference? i would like to cite it in my phd thesis, for comparing these “casual” usage facts (mostly based on facebook) to the ones from my survey based on real-time microblogging usage (mostly based on twitter).
Hi Adrien,
These results are mentioned briefly in a Workshop Paper “A Torrent of Tweets: Managing Information Overload in Online Social Streams” presented at CHI this year. You can find a copy of that paper on Michael Bernstein’s website here (PDF), and my own at some point soon when I update it.