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Tweets are Not Created Equal. Intersecting Devices in the 1% Sample

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Presentation by Carolin Gerlitz and Bernhard Rieder at the AoIR conference in Daegu, South Korea on October 23, 2014

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Tweets are Not Created Equal. Intersecting Devices in the 1% Sample

  1. 1. Tweets are Not Created Equal Intersecting Devices in the 1% Sample Carolin Gerlitz & Bernhard Rieder IR15 - Boundaries & Intersections October 23, 2014
  2. 2. Digging deeper into Twitter devices The Twitter API's 1% random sample can be used to explore, baseline, contextualize, verify, etc. (Gerlitz & Rieder 2013, Morstatter et al. 2014). How can we qualify individual elements in relation to a larger platform ecology? The presentation inquires more deeply into the role devices play on Twitter. We used a week-long random sample of tweets to further explore this aspect. (14.6.2014 - 20.6.2014, n = 31.707.162)
  3. 3. Devices intersect use practices There has been a proliferation of very different devices (mobile, desktop, web, buttons, bots, etc.) from which people send their tweets. It's full of devices! Thinking Twitter as ecology of connected devices, we ask (1) how we can qualify devices and (2) how devices can enable us to unpack metrics for studying use cultures. Frequency based metrics suggest that the units they count are equivalent (e.g. tweets per time for a certain hashtag). Do we need to conceptualize devices as intervening variables?
  4. 4. iPhone Tweetdeck Web client Tweetadder Instagram Tribez
  5. 5. iPhone Instagram Tweetadder Tweetadder
  6. 6. Hashtag qualification #iraq
  7. 7. Hashtag qualification #CallMeCam
  8. 8. Hashtag qualification #gameinsight
  9. 9. Hashtag qualification #love
  10. 10. Devices & use practices Desktop clients (Web, Tweetdeck, etc.) are overrepresented in news conversations; Tweetdeck also points towards professional social media practices. The iPhone is the preferred microphone of the American teenager. Custom autopost clients (platforms, games, etc.) are engaged in activity loops. Automation clients (dlvr.it, IFTT, or Tweetadder) empower promotion, spam, hijacking, and syndication practices. Different devices have different capacities and enable different ways of engaging with the Twitter platform (posting, observing, responding, etc.).
  11. 11. Domain qualification nytimes.com
  12. 12. Domain qualification youtube.com
  13. 13. Domain qualification etsy.com
  14. 14. Devices intersect practices Tweets are not created equal. Devices imply different regimes of "being on Twitter" that are caught up in different perspectives, purposes, and politics. Twitter takes part in complex platform ecologies that mediate tweeting in different ways and are thus co-constitutive of practices. Devices intersect practices. For Internet researchers, this creates problems and opportunities. Devices as intervening variables can both skew and explain. Frequency counts that do not take into account devices are problematic: do 100K tweets from Tweetadder "mean" or "indicate" the same thing as 100K sent from the iPhone? They refer to different populations, practices, purposes, and politics.
  15. 15. Conclusion Frequency counts are not comparable from the outset, but need to be made comparable by including devices in the interpretation. Devices need to be taken into account when sampling, cleaning, analyzing, and interpreting Twitter data. This kind of unpacking and repacking of components in the platform ecologies can be performed for various other elements. (cf. Bruns & Stieglitz 2013)
  16. 16. Thank you. Carolin Gerlitz, c.gerlitz@uva.nl, @cgrltz Bernhard Rieder, rieder@uva.nl, @riederb DMI-TCAT (Borra & Rieder 2014), open source, available at: https://github.com/digitalmethodsinitiative/dmi-tcat

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