Online Collective Action and the Role of Social Media in Mobilizing Opinions: A Case Study on Women’s Right-to-Drive Campaigns in Saudi Arabia

With the advent of advanced information and communication technologies (ICT), especially social media, new forms of collective actions (CAs) have emerged calling for reassessment of some aspects of traditional CA theories. However, regardless of the prominent role of social media platforms in various movements, there is a scarcity of online CA research. Existing computational studies focusing on capturing and mapping social media interactions and issues manage to identify the very manifestations of CA. These studies, unfortunately, rarely go beyond a mere descriptive tendency. We propose a methodology to gain deeper insights into online CA by analyzing issue propagation, influential community members’ roles, and the transcending nature of CA through individual, community, and transnational perspectives. The efficacy of the proposed model is demonstrated by a case study of the Saudi women campaigns on the ban of driving, including data from the 2008 Wajeha al-Huwaider’s driving campaigns and the 2011 ‘Women2Drive’ campaign observed on various social media sites. As conceptualized, utilized, and illustrated in this case study, our proposed methodology highlights several key contributions to the fundamental research on online CAs as well as computational studies on social media in general. We offer: a new framework to understand the evolution and diffusion of issues in online CA networks; a new approach focusing on the formation of issues providing a rigorous model; and, ultimately, a new understanding of the relationship between online CAs and the rapidly changing online environment.

[1]  Timothy W. Finin,et al.  Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies , 2008, WebKDD 2008.

[2]  M. Lynne Markus,et al.  Industry-wide IS Standardization as Collective Action : The Case of the US Residential Mortgage Industry , 2005 .

[3]  Huan Liu,et al.  Synthesis Lectures on Data Mining and Knowledge Discovery , 2009 .

[4]  A. Lupia,et al.  Which Public Goods are Endangered?: How Evolving Communication Technologies Affect The Logic of Collective Action , 2003 .

[5]  H. Cleaver.  The Zapatistas and the Electronic Fabric of Struggle , 1998 .

[6]  Yun Chi,et al.  Identifying opinion leaders in the blogosphere , 2007, CIKM '07.

[7]  Matthew Richardson,et al.  Mining knowledge-sharing sites for viral marketing , 2002, KDD.

[8]  Iraklis Varlamis,et al.  BlogRank: ranking weblogs based on connectivity and similarity features , 2006, AAA-IDEA '06.

[9]  Todd Sandler,et al.  Collective Action: Theory and Applications , 1992 .

[10]  Jacob Goldenberg,et al.  Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth , 2001 .

[11]  Michalis Faloutsos,et al.  On power-law relationships of the Internet topology , 1999, SIGCOMM '99.

[12]  Shahbaz Khan,et al.  The Marketing of Rebellion: Insurgents, Media and International Activism , 2005 .

[13]  M. Olson,et al.  The Logic of Collective Action , 1965 .

[14]  Oren Etzioni,et al.  Face-to-Face and Computer-Mediated Communities, A Comparative Analysis , 1999, Inf. Soc..

[15]  M. Lynne Markus,et al.  Exploring interorganizational systems at the industry level of analysis: evidence from the US home mortgage industry , 2005, J. Inf. Technol..

[16]  T. Parsons,et al.  The Mind and Society , 1916 .

[17]  Stéphane Reissfelder,et al.  Social information and political participation on the internet: an experiment , 2011, European Political Science Review.

[18]  Ramanathan V. Guha,et al.  Information diffusion through blogspace , 2004, WWW '04.

[19]  Nitin Agarwal,et al.  European Conference on Information Systems ( ECIS ) Summer 10-6-2011 FINDING HER MASTER ’ S VOICE : THE POWER OF COLLECTIVE ACTION AMONG FEMALE MUSLIM BLOGGERS , 2017 .

[20]  Nitin Agarwal,et al.  Collective Action Theory Meets the Blogosphere: A New Methodology , 2011, NDT.

[21]  Beibei Li,et al.  Enhancing clustering blog documents by utilizing author/reader comments , 2007, ACM-SE 45.

[22]  M. Lim.  Informational Terrains of Identity and Political Power: The Internet in Indonesia , 2014 .

[23]  Shankara B. Subramanya,et al.  WisColl: Collective wisdom based blog clustering , 2010, Inf. Sci..

[24]  Andrew J. Flanagin,et al.  Reconceptualizing Collective Action in the Contemporary Media Environment , 2005 .

[25]  M. Lynne Markus,et al.  Industry-Wide Information Systems Standardization as Collective Action: The Case of the U.S. Residential Mortgage Industry , 2006, MIS Q..

[26]  M. Lim.  Clicks, Cabs, and Coffee Houses: Social Media and Oppositional Movements in Egypt, 2004–2011 , 2012 .

[27]  R. Armstrong.  The Long Tail: Why the Future of Business Is Selling Less of More , 2008 .

[28]  Andreas Krause,et al.  Cost-effective outbreak detection in networks , 2007, KDD '07.

[29]  John Kelly and Bruce Etling.  Mapping Iran's online public: Politics and culture in the Persian blogosphere , 2008 .

[30]  Laks V. S. Lakshmanan,et al.  Learning influence probabilities in social networks , 2010, WSDM '10.

[31]  Doug McAdam,et al.  Comparative Perspectives on Social Movements: The framing function of movement tactics: Strategic dramaturgy in the American civil rights movement , 1996 .

[32]  Tim Oates,et al.  Modeling the Spread of Influence on the Blogosphere , 2006 .

[33]  Philip S. Yu,et al.  Identifying the influential bloggers in a community , 2008, WSDM '08.

[34]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[35]  Robert Faris,et al.  Mapping the Arabic Blogosphere: Politics, Culture, and Dissent , 2014 .

[36]  Andrea Lancichinetti,et al.  Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.

[37]  T. L. Schwartz.  The Logic of Collective Action , 1986 .