Author List: Oh, Onook; Eom, Chanyoung; Rao, H. R.;
Information Systems Research, 2015, Volume 26, Issue 1, Page 210-223.
This study explores the role of social media in social change by analyzing Twitter data collected during the 2011 Egypt Revolution. Particular attention is paid to the notion of collective sense making, which is considered a critical aspect for the emergence of collective action for social change. We suggest that collective sense making through social media can be conceptualized as human-machine collaborative information processing that involves an interplay of signs, Twitter grammar, humans, and social technologies. We focus on the occurrences of hashtags among a high volume of tweets to study the collective sense-making phenomena of milling and keynoting. A quantitative Markov switching analysis is performed to understand how the hashtag frequencies vary over time, suggesting structural changes that depict the two phenomena. We further explore different hashtags through a qualitative content analysis and find that, although many hashtags were used as symbolic anchors to funnel online users' attention to the Egypt Revolution, other hashtags were used as part of tweet sentences to share changing situational information. We suggest that hashtags functioned as a means to collect information and maintain situational awareness during the unstable political situation of the Egypt Revolution.
Keywords: social media ; social change ; 2011 Egypt Revolution ; Twitter ; hashtag ; sociomateriality ; collective sense making ; human-machine collaborative information process
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#111 0.291 e-government collective sociomaterial material institutions actors practice particular organizational routines practices relations mindfulness different analysis ways draw agencies drawing ideas
#131 0.264 media social content user-generated ugc blogs study online traditional popularity suggest different discourse news making anonymity marketing videos choices page
#128 0.087 dynamic time dynamics model change study data process different changes using longitudinal understanding decisions develop temporal reveal associated state identifies
#104 0.085 action research engagement principles model literature actions focus provides developed process emerging establish field build guidance known project elements insights
#6 0.066 data used develop multiple approaches collection based research classes aspect single literature profiles means crowd collected trend accuracy databases accurate
#170 0.058 information processing needs based lead make exchange situation examined ownership analytical improved situations changes informational examine developed receive perceptions facilitates