Structural effects of participation propensity in online collective actions: : Based on big data and Delphi methods
Author: 
Peng LuAuthors Info & Claims
References
[1]
Ostrom E., Analyzing collective action, Agricult. Econ. 41 (1) (2010) 155–166.
[2]
Fu D., Disguised collective action in china, Comp. Polit. Stud. 50 (4) (2017) 499–527.
[3]
Bruns A., Highfield T., Burgess J., The Arab spring and social media audiences: English and Arabic twitter users and their networks, Amer. Behav. Sci. 57 (7) (2013) 871–898.
[4]
Aday S., Farrell H., Freelon D., Lynch M., Sides J., Dewar M., Watching from afar: Media consumption patterns around the arab spring, Amer. Behav. Sci. 57 (7) (2013) 899–919.
[5]
Steinert-Threlkeld Z.C., Mocanu D., Vespignani A., Fowler J., Online social networks and offline protest, EPJ Data Sci. 4 (1) (2015) 1–9.
[6]
Calhoun C., Occupy wall street in perspective, British J. Sociol. 64 (1) (2013) 26–38.
[7]
Conover M., Ferrara E., Menczer F., Flammini A., The digital evolution of occupy wall street, PLoS One 8 (5) (2013).
[8]
Gleason B., Occupy wall street: Exploring informal learning about a social movement on twitter, Amer. Behav. Sci. 57 (7) (2013) 966–982.
[9]
Margetts H.Z., John P., Hale S.A., Reissfelder S., Leadership without leaders? starters and followers in online collective action, Polit. Stud. 63 (2) (2015) 278–299.
[10]
Agarwal N., Lim M., Wigand R., Raising and rising voices in social media: A novel methodological approach in studying cyber-collective movements, Bus. Inf. Syst. Eng. 4 (3) (2012) 113–126.
[11]
Fu J., Shumate M., Hyperlinks as institutionalized connective public goods for collective action online, J. Comput.-Mediat. Commun. 21 (4) (2016) 298–311.
[12]
Lee F., Internet, citizen self-mobilisation, and social movement organisations in environmental collective action campaigns: Two hong kong cases, Environ. Polit. 24 (2) (2015) 308–325.
[13]
Schumann S., Klein O., Substitute or stepping stone? assessing the impact of low-threshold online collective actions on offline participation: Substitute or stepping stone?, European J. Soc. Psychol. 45 (3) (2015) 308–322.
[14]
Brunsting S., Postmes T., Social movement participation in the digital age: Predicting offline and online collective action, Small Group Res. 33 (5) (2002) 525–554.
[15]
Harlow S., Social media and social movements: Facebook and an online guatemalan justice movement that moved offline, New Media Soc. 14 (2) (2012) 225–243.
[16]
Takahashi B., Edwards G., Roberts J., Duan R., Exploring the use of online platforms for climate change policy and public engagement by NGOs in latin america, Environ. Commun. J. Nat. Cult. 9 (2) (2015) 228–247.
[17]
Pu Q., Scanlan S., Communicating injustice? Framing and online protest against Chinese government land expropriation, Inf. Commun. Soc. 15 (4) (2012) 572–590.
[18]
Velasquez A., LaRose R., Youth collective activism through social media: The role of collective efficacy, New Media Soc. 17 (6) (2015) 899–918.
[19]
Biao T., Mosher S., Rights defence (weiquan), microblogs (weibo), and the surrounding gaze (weiguan): The rights defence movement online and offline, China Perspect. 3 (91) (2012) 29–41.
[20]
Lu P., Predicting peak of participants in collective action, Appl. Math. Comput. 274 (676) (2016) 318–330.
[21]
Lu P., Individual vision and peak distribution in collective actions, Commun. Nonlinear Sci. Numer. Simul. 47 (2017) 238–252.
[22]
Gao L., The emergence of the human flesh search engine and political protest in china: Exploring the Internet and online collective action, Media Culture Soc. 38 (3) (2016) 349–364.
[23]
Qiu L., Lin H., Chiu C., Liu P., Online collective behaviors in china: Dimensions and motivations, Anal. Soc. Issues Public Policy 15 (1) (2015) 44–68.
[24]
Rydin Yvonne, Pennington Mark, Public Participation and Local Environmental Planning: The collective action problem and the potential of social capital, Int. J. Justice and Sustainability 5 (2) (2010) 153–169.
[25]
Greene J., Managing poverty, managing dissent: Homeless politics and collective action in London, Policy and Politics 42 (3) (2014) 315–331.
[26]
Adhikari B., Poverty, property rights and collective action: Understanding the distributive aspects of common property resource management, Environ. Dev. Econ. 10 (1) (2005) 7–31.
[27]
Saunders T., Taylor A., Atkinson Q., No evidence that a range of artificial monitoring cues influence online donations to charity in an MTurk sample, Royal Soc. Open Sci. 3 (10) (2016),.
[28]
Freeman T., Jadva V., Tranfield E., Golombok S., Online sperm donation: A survey of the demographic characteristics, motivations, preferences and experiences of sperm donors on a connection website, Hum. Reprod. 31 (9) (2016) 2082–2089.
[29]
Owens M.D., Playing the good game: The use of gaming in online charity and social advocacy, Gaming Law Review and Economics 17 (2) (2013) 117–120.
[30]
Kodrich K., Laituri M., The formation of a disaster community in cyberspace: The role of online news media after the 2001 gujarat earthquake, Convergence 11 (3) (2005) 40–56.
[31]
Hargrave T.J., Moral imagination, collective action, and the achievement of moral outcomes, Business Ethics Quarterly 19 (1) (2009) 87–104.
[32]
Abdullah D.V., Askari H., Mirakhor A., The moral foundation of collective action against economic crimes, PSL Quarterly Review 68 (272) (2015) 9–39.
[33]
Landeta J., Current validity of the Delphi method in social sciences, Technol. Forecast. Soc. Change 73 (5) (2006) 467–482.
[34]
Rodriguez-Manas L., Feart C., Mann G., Vina J., Chatterji S., Chodzko-Zajko W., …., on behalf of the FOD-CC group (Appendix 1). Searching for an operational definition of frailty: A delphi method based consensus statement. the frailty operative definition-consensus conference project, J. Gerontol. Ser. A-Bio. Sci. Med. Sci. 68 (1) (2013) 62–67.
[35]
Tong J., The formation of an agonistic public sphere: Emotions, the Internet and news media in china, China Inform. 29 (3) (2015) 333–351.
[36]
Papacharissi Z., The virtual sphere: The Internet as a public sphere, New Media Soc. 4 (1) (2002) 9–27.
[37]
Rasmussen T., Internet-based media, europe and the political public sphere, Media Culture Soc. 35 (1) (2013) 97–104.
[38]
Iqbal S., Pipon-Young L., The delphi method, Psychologist 22 (7) (2009) 598–600.
[39]
Lu Peng, Learn good from bad: Effects of good and bad neighbors in spatial Prisoners’ Dilemma games, Physica A 436 (2015) 351–358.
[40]
Chen M., Wang L., Wang J., Sun S., Xia C., Impact of individual response strategy on the spatial public goods game within mobile agents, Appl. Math. Comput. 251 (2015) 192–202.
[41]
Lu P., Individual choice and reputation distribution of cooperative behaviors among heterogeneous groups, Chaos Solitons Fractals 77 (2015) 39–46.
[42]
Wang J., Lu W., Liu L., Li L., Xia C., Utility evaluation based on one-to-N mapping in the Prisoner’s dilemma game for interdependent networks, PLoS One 11 (12) (2016) e0167083.
[43]
Lu P., Imitating winner or sympathizing loser? quadratic effects on cooperative behavior in Prisoners’ Dilemma games, Physica A 436 (2015) 327–337.
[44]
Dai Yu., Lu Peng., When does inferring reputation probability countervail temptation in cooperative behaviors for the Prisoners’ Dilemma game?, Chaos Solitons Fractals 78 (2015) 238–244.
[45]
Lu P., Wang F., Heterogeneity of inferring reputation of cooperative behaviors for the Prisoners’ Dilemma game, Physica A 433 (2015) 367–378.
[46]
Theocharis Y., Lowe W., van Deth J., Garcia-Albacete G., Using twitter to mobilize protest action: Online mobilization patterns and action repertoires in the occupy wall street, indignados, and aganaktismenoi movements, Inf. Commun. Soc. 18 (2) (2015) 202–220.
[47]
Zheng Y., Yu A., Affordances of social media in collective action: The case of free lunch for children in china, Inf. Syst. J. 26 (3) (2016) 289–313.
[48]
Huang R., Sun X., Weibo network, information diffusion and implications for collective action in china, Inf. Commun. Soc. 17 (1) (2014) 86–104.
[49]
Xiong X., Zhou G., Huang Y., Chen H., Xu K., Dynamic evolution of collective emotions in social networks: A case study of sina weibo, Sci. China Inf. Sci. 56 (7) (2013) 1–18.
[50]
Huang R., Sun X., Dynamic preference revelation and expression of personal frames: How weibo is used in an anti-nuclear protest in china, Chin. J. Commun. 9 (4) (2016) 385–402.
[51]
Gleiss M., Speaking up for the suffering (br)other: Weibo activism, discursive struggles, and minimal politics in china, Media Culture Soc. 37 (4) (2015) 513–529.
[52]
Goh D., Pang N., Protesting the Singapore government: The role of collective action frames in social media mobilization, Telemat. Inform. 33 (2) (2016) 525–533.
[53]
Granovetter M., Threshold models of collective behavior, Am. J. Sociol. 83 (6) (1978) 1420–1443.
[54]
Granovetter M., Threshold models of interpersonal effects in consumer demand, J. Econ. Behav. Organ. 7 (1986) 83–99.
[55]
Wang Z., Wang L., Szolnoki A., Perc M., Evolutionary games on multilayer networks: A colloquium, Eur. Phys. J. B 88 (2015) 124.
[56]
Wang Z., Wang L., Perc M., Degree mixing in multilayer networks impedes the evolution of cooperation, Phys. Rev. E 89 (2014).
[57]
Jin Q., Wang L., Xia C., Wang Z., Spontaneous symmetry breaking in interdependent networked game, Sci. Rep. 4 (2014) 4095.
[58]
Wang L., Wang Z., Zhang Y., Li X., How human location-specific contact patterns impact spatial transmission between populations?, Sci. Rep. 3 (2013) 1468.
[59]
Ichinose G., Sayama H., Invasion of cooperation in scale-free networks: accumulated versus average payoffs, Artif. Life 23 (1) (2017) 25–33.
[60]
Alberici A., Milesi P., Online discussion, politicized identity, and collective action, Group Process. Intergroup Relat. 19 (1) (2016) 43–59.
[61]
Margetts H., John P., Escher T., Reissfelder S., Social information and political participation on the Internet: An experiment, Eur. Polit. Sci. Rev. 3 (3) (2011) 321–344.
[62]
Chu Y., Tang J., The Internet and civil society: Environmental and labour organizations in Hong Kong, Int. J. Urban Reg. Res. 29 (4) (2005) 849–866.
Index Terms
- Structural effects of participation propensity in online collective actions: Based on big data and Delphi methods
Index terms have been assigned to the content through auto-classification.
Recommendations
A longitudinal study of the bidirectional causal relationships between online political participation and offline collective action
AbstractThe longitudinal causal relationships between individuals’ online and offline forms of civic participation requires further understanding. We provide a robust test of four competing theoretical perspectives to establish the direction ...
Highlights- The bidirectional causal longitudinal link between online political participation and offline collective action was explored.
Collective action in the age of the internet: mass communication and online mobilization
Special issue: Psychology and the internetThis article examines how the Internet transforms collective action. Current practices on the web bear witness to thriving collective action ranging from persuasive to confrontational, individual to collective, undertakings. Even more influential than ...
Collective attention and active consumer participation in community energy systems
Highlights- A (preliminary) definition of collective attention, as distinct from mutual knowledge.
AbstractCommunity energy systems, which rely on demand-side self-organisation of energy distribution, can encounter situations in which demand exceeds supply, and unless the community members schedule energy usage by and between themselves, ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Elsevier B.V.
Publisher
Elsevier Science Publishers B. V.
Netherlands
Publication History
Published: 15 December 2018
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 01 Jan 2025