Tds prelimconclusions june11

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Presentation of preliminary analysis of the Tahrir Data Sets, a collection of empirical data on digital media use by protesters in the Egyptian uprising, gathered following the ouster of Hosni Mubarak. More information available at http://tahrirdata.info.

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  • “a power law describes data in which the nth position has 1/nth of the first position’s rank. In a pure power law distribution, the gap between the first and second position is larger than the gap between second and third, and so on.”
  • Tds prelimconclusions june11

    1. 1. Tahrir Data Project<br />Preliminary Descriptive Analysis<br />
    2. 2. Discursive Context<br />Pessimism and Utopianismsince Iran and Moldova<br />2011>DeenFreelon’s 4-part taxonomy<br />The Hype and theBlowback<br />Still an anecdotaldebate<br />Still: «Was it a Facebook Revolution?»<br />
    3. 3. The Tahrir Data Sets<br />TDS-a: protester media-use<br />1200 interviews between Feb 24 & March 1<br />In-depth, “superficial” questionnaire<br />TDS-b: coordinator media-use<br />35 individuals, semi-structured, purposive sample<br />TDS-c: Twitter and transnational networks<br />#jan25 tweets between Jan 21 & Feb 11<br />675,715 tweets, 106,000 users, 27 languages<br />
    4. 4. TDS-a: Protester Sample<br />“Hidden population”<br />Predominantly:<br />young, <br />well educated, <br />non-politcally active, <br />wired<br />men<br />
    5. 5. Frequencies:<br />media use<br />
    6. 6.
    7. 7.
    8. 8.
    9. 9.
    10. 10.
    11. 11. Logical Regressions:<br />Out on first day &first time protesting<br />
    12. 12. Protestedon Day 1<br />
    13. 13. Not 1st Protest<br />
    14. 14. Frequencies:<br />Media rankings and protester behaviour<br />
    15. 15. Media Rankings (1)<br />
    16. 16. Media Rankings (2)<br />
    17. 17.
    18. 18.
    19. 19.
    20. 20. Key Protest Metrics<br />Reliability<br />Documentation<br />Relay<br />Blogs (>tw, live, fb, em)<br />Exaggeration for Blogs and TW in content types and motivations<br />Sources: <br />TV, Live, Phone, FB, Print <br />Users<br />FB, live TW, phone, sat<br />Facebook and TV strongest showers<br />Both as info types and activities<br />The strange showing of live communication<br />
    21. 21. Implications of TDS-a<br />Digital distinguishthemselvesthrough:<br />Degreee and characterofmedia use <br />Behaviorof media users<br />User relationships to media<br />
    22. 22. TDS-c: Tweeters<br />Power law distributions <br />for tweeters and retweeters.<br />
    23. 23. TDS-c: Transnational communication flows <br />
    24. 24. TDS b: Coordinator Strategies<br />Traditional media & Hybridity<br />Strong ties and weak ties<br />Transnational Information Flows as<br />Security<br />Motivation<br />Principle<br />
    25. 25. Preliminary Conclusions<br />Digital media are distinct<br />Digital media vs hybrid media<br />Context and contingency<br />Weneedmore sophisticated models<br />Utopianism and pessimism do not suffice<br />Information ecologies<br />Functional network mappings<br />
    26. 26. A Facebook Revolution?<br />Silly Question<br />
    27. 27. Moving Ahead<br />Implications for further research<br />Grounded research<br />Localresearch<br />Open research<br />Comparativeresearch<br />Objects for further research<br />Mapping <br />Relay <br />Duplicationand comparison<br />
    28. 28. http://tahrirdata.info<br />

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