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Going to hell_slideshare

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Are Twitter researchers going to hell? Slides for a talk at the QUT Digital Media Recearch Center on May 29th 2015

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Going to hell_slideshare

  1. 1. Are Twitter researchers going to hell? 29-05-2015 1
  2. 2. Will I go to hell ? 29-05-2015 · 2
  3. 3. 29-05-2015 · 3
  4. 4. 29-05-2015 · 4 }Lust: In the second circle of Hell are those overcome by lust. Dante condemns these "carnal malefactors" for letting their appetites sway their reason.
  5. 5. 29-05-2015 · 5
  6. 6. - Social media users are not a representative sample… - Facebook: 53% (of US population) - LinkedIn: 19% - Twitter: 13% (PEW data 2013 – Hargittai 2015) 29-05-2015 · 6 }Is Twitter a good proxy of social life? U S T w i t t e r
  7. 7. This is where it goes… 29-05-2015 · 7 Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter http://dx.plos.org/10.1371/journal.pone.0026752
  8. 8. - Twitter users are largely unknown - There are no reasons to expect any “trickle down effect” from Twitter to society 29-05-2015 · 8 }Is Twitter a good proxy of social life?
  9. 9. 29-05-2015 · 9 }Heresy: In the sixth circle, Heretics, such as Epicureans ("the soul dies with the body") are trapped in flaming tombs.
  10. 10. - Research questions are defined by the possibilities offered through the API - Data monetization has been a clear strategy behind the evolution of Twitter API 29-05-2015 · 10 }Dealing with privately-own data 1)
  11. 11. - API (stream/rest) based acquisition do not provide representative samples for big events (Morstatter et al. 2013) - Using Twitter data providers can be extremely expensive (for average research budget in social sciences / humanities) [e.g. Rule Text: eurovision Start Date: 05/18/2015 End Date: 05/25/2015 Estimated Activities: 2,042,000 The total cost of accepting this job is $580.00. ] 29-05-2015 · 11 }Dealing with privately-own data 2)
  12. 12. 29-05-2015 · 12 } Fraud: Sorcerers, astrologers, and false prophets here have their heads twisted around on their bodies backward, so that they "found it necessary to walk backward, / because they could not see ahead of them.”.
  13. 13. Hard methods for “soft” data 29-05-2015 · 13
  14. 14. Quantitative methods often assume the stability of the research field. Can we still cite/use Twitter data published in 2007 or 2008 ? 29-05-2015 · 14
  15. 15. “Connect with your friends — and other fascinating people. Get in-the- moment updates on the things that interest you. And watch events unfold, in real time, from every angle.” Practices –> structure 29-05-2015 · 15 “What’s happening?”“What are you doing?”
  16. 16. 29-05-2015 · 16
  17. 17. Are we doing the research we want to do or the research we can do ? And what are the – systemic – forces affectingt this process? One more thing 29-05-2015 · 17
  18. 18. 29-05-2015 · 18 Thank you

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