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Twitter as a Global Collective Sense-
making System under a Political
Crisis: Improvisation, Verification,
and Solidification during the Jan 25th
Egypt Demonstration
Knight Foundation Event, Jan 17th
, 2013, Cronkite School of
Journalism, ASU
Hazel Kwon, PhD, School of Social and
Behavioral Sciences
• This study explores Twitter as a collective awareness system
during a social crisis. We trace how Twitter
communications develop over time during the political
crisis of the 2011 Egypt revolution, particularly January 25th
demonstration. Refining the “milling” and “keynoting”
concepts of the Emergent Norm Theory to the social
media context, we suggest a sequential crisis
communication model of IVS (Improvisation, Verification,
and Solidification). An ad-hoc comparative analysis of the
IVS model reveals that, while the ‘Improvised’
communication was salient among tweets originated from
Egypt, communications purposed for the ‘Verification’ of
situational information were especially noticeable in
tweets originated from Non-Arab nations. In contrast,
communications intended for the ‘Solidification’ of
collective identity were evenly distributed across different
regions of the globe. The IVS process was led primarily by
personalized, spontaneous participation of politically
active individuals.
“the Egyptian Revolution was a
spontaneous movement led by
nothing other than the wisdom
of the [online] crowd”
Wael Ghonim (2012), the founder of the We Are
All Khaled Saed Facebook page
part I: The Jan 25th
Demonstration,
Egypt 2011
25th25th
One monumental day during
Arab Spring: Jan 25th
, 2011
Clear Goal:
resignation
of Mubarak
Rapid
communic
ation & the
regime’s
reaction
The role
of the
Internet
A long-term
protest
started off
• Three day tweets (Jan 23-25)
• Hashtag #egypt
• A total of 4,431 tweets; Only English
(81.6%) and Arabic (11.7%) considered
• 2, 925 tweets included geographical
information
• Tweets were collected real time, i.e. 8 times a day
• 246 tweets from 23rd, 316 from 24th, and 3,869 from 25th.
• Tweets were collected real time, i.e. 8 times a day
• 246 tweets from 23rd, 316 from 24th, and 3,869 from 25th.
Part 2: Characterizing
Crisis Communication
in Twitter
Personalization & Immediateness
: self-organized, self-connective participation
During Jan 25Demonstration…
Diffused Crowd CommunicationDiffused Crowd Communication
:: A global sequential ProcessingA global sequential Processing
Geographical Distribution
of Communication
    Communication Type
Location   Improvisation Verification Solidification
Egypt
Obs 391 209 160
Exp 317.5 297.8 144.7
SD. R. 4.1*** -5.1*** 1.3
Arab 
Country
Obs 246 196 88
Exp 221.4 207.7 100.9
SD. R. 1.7 -.8 -1.3
Non-Arab 
Country
Obs 585 741 309
Exp 683.1 640.6 311.3
SD. R. -3.8*** 4.0*** -.1
Note: ***
p < .001
A short time
window of a
long-term event
Limitation of
geographic
information
Limitation &
Future directions
Design implications for
mobile and social
media?
Mechanism of info
verification
Thank you!Thank you!
Ghonim, W. (2012). Revolution 2.0: The Power of the People Is Greater Than the People in Power. Boston, NY
Houghton Mifflin Harcourt.
Hermida, 2010 Twittering the news. Journalism Practice, 4(3), 297–308. 
Oh, O., Eom, C., & Rao, H. R. (2012). Collective sense-making through the Twitter service during the 2011 Egy
Revolution. Proceedings of Thirty Third Interantional Conference on Information Systems, Orland, FL, 2012.
Papacharizi, Z., & de Fatima Oliveira, M. (2012). Affective news and networked publics: The rhythms of news
storytelling on #Egypt. Journal of Communication, 62, 255-282.
Turner, R. H., & Killian, L. M. (1987). Collective Behavior (3rd
Ed.). Englewood Cliffs, NJ: Prentice-Hall.

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Twitter and Jan 25 Egyptian Protest

  • 1. Twitter as a Global Collective Sense- making System under a Political Crisis: Improvisation, Verification, and Solidification during the Jan 25th Egypt Demonstration Knight Foundation Event, Jan 17th , 2013, Cronkite School of Journalism, ASU Hazel Kwon, PhD, School of Social and Behavioral Sciences
  • 2. • This study explores Twitter as a collective awareness system during a social crisis. We trace how Twitter communications develop over time during the political crisis of the 2011 Egypt revolution, particularly January 25th demonstration. Refining the “milling” and “keynoting” concepts of the Emergent Norm Theory to the social media context, we suggest a sequential crisis communication model of IVS (Improvisation, Verification, and Solidification). An ad-hoc comparative analysis of the IVS model reveals that, while the ‘Improvised’ communication was salient among tweets originated from Egypt, communications purposed for the ‘Verification’ of situational information were especially noticeable in tweets originated from Non-Arab nations. In contrast, communications intended for the ‘Solidification’ of collective identity were evenly distributed across different regions of the globe. The IVS process was led primarily by personalized, spontaneous participation of politically active individuals.
  • 3. “the Egyptian Revolution was a spontaneous movement led by nothing other than the wisdom of the [online] crowd” Wael Ghonim (2012), the founder of the We Are All Khaled Saed Facebook page
  • 4.
  • 5. part I: The Jan 25th Demonstration, Egypt 2011
  • 7. One monumental day during Arab Spring: Jan 25th , 2011 Clear Goal: resignation of Mubarak Rapid communic ation & the regime’s reaction The role of the Internet A long-term protest started off
  • 8. • Three day tweets (Jan 23-25) • Hashtag #egypt • A total of 4,431 tweets; Only English (81.6%) and Arabic (11.7%) considered • 2, 925 tweets included geographical information • Tweets were collected real time, i.e. 8 times a day • 246 tweets from 23rd, 316 from 24th, and 3,869 from 25th. • Tweets were collected real time, i.e. 8 times a day • 246 tweets from 23rd, 316 from 24th, and 3,869 from 25th.
  • 9. Part 2: Characterizing Crisis Communication in Twitter
  • 10. Personalization & Immediateness : self-organized, self-connective participation
  • 12.
  • 13.
  • 14.
  • 15. Diffused Crowd CommunicationDiffused Crowd Communication :: A global sequential ProcessingA global sequential Processing
  • 16.
  • 17.
  • 18.
  • 19. Geographical Distribution of Communication     Communication Type Location   Improvisation Verification Solidification Egypt Obs 391 209 160 Exp 317.5 297.8 144.7 SD. R. 4.1*** -5.1*** 1.3 Arab  Country Obs 246 196 88 Exp 221.4 207.7 100.9 SD. R. 1.7 -.8 -1.3 Non-Arab  Country Obs 585 741 309 Exp 683.1 640.6 311.3 SD. R. -3.8*** 4.0*** -.1 Note: *** p < .001
  • 20. A short time window of a long-term event Limitation of geographic information Limitation & Future directions Design implications for mobile and social media? Mechanism of info verification
  • 21. Thank you!Thank you! Ghonim, W. (2012). Revolution 2.0: The Power of the People Is Greater Than the People in Power. Boston, NY Houghton Mifflin Harcourt. Hermida, 2010 Twittering the news. Journalism Practice, 4(3), 297–308.  Oh, O., Eom, C., & Rao, H. R. (2012). Collective sense-making through the Twitter service during the 2011 Egy Revolution. Proceedings of Thirty Third Interantional Conference on Information Systems, Orland, FL, 2012. Papacharizi, Z., & de Fatima Oliveira, M. (2012). Affective news and networked publics: The rhythms of news storytelling on #Egypt. Journal of Communication, 62, 255-282. Turner, R. H., & Killian, L. M. (1987). Collective Behavior (3rd Ed.). Englewood Cliffs, NJ: Prentice-Hall.

Editor's Notes

  1. This timeline is from guardian newspaper. Egypt is one country that involved in the massive political movement across Arab region, so called Arab Spring. As you see the timeline, january 25 th is the kick-off demonstration day that is followed by many political moves for about a month, including notorious Internet shutdown the following day Jan 26 th , by the government and the end of Mubarak in mid Feburary.
  2. Los indignados (aka 15M) : successful to keep the traditional SMOs away from the movement.
  3. Out degree: Black Personal users; Blue: media, advocacy, governmental, industrial organization Red: outsource
  4. In-Degree: Red: Outsource, Black:Personal, Blue: Org.