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Leadership without Leaders? Starters and Followers in Online Collective Action

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  • Helen Z. Margetts
  • Peter John
  • Scott A. Hale
  • Stéphane Reissfelder

Abstract

type="main"> The internet has been ascribed a prominent role in collective action, particularly with widespread use of social media. But most mobilisations fail. We investigate the characteristics of those few mobilisations that succeed and hypothesise that the presence of ‘starters’ with low thresholds for joining will determine whether a mobilisation achieves success, as suggested by threshold models. We use experimental data from public good games to identify personality types associated with willingness to start in collective action. We find a significant association between both extraversion and internal locus of control, and willingness to start, while agreeableness is associated with a tendency to follow. Rounds without at least a minimum level of extraversion among the participants are unlikely to be funded, providing some support for the hypothesis.

Suggested Citation

  • Helen Z. Margetts & Peter John & Scott A. Hale & Stéphane Reissfelder, 2015. "Leadership without Leaders? Starters and Followers in Online Collective Action," Political Studies, Political Studies Association, vol. 63(2), pages 278-299, June.
  • Handle: RePEc:bla:polstu:v:63:y:2015:i:2:p:278-299
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    File URL: http://hdl.handle.net/10.1111/1467-9248.12075
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    Cited by:

    1. Brigitte Huber & Manuel Goyanes & Homero Gil de Zúñiga, 2021. "Linking Extraversion to Collective and Individual Forms of Political Participation: The Mediating Role of Political Discussion," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1289-1310, July.
    2. Lu, Peng, 2016. "Predicting peak of participants in collective action," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 318-330.
    3. Helen Briassoulis, 2021. "Becoming E-Petition: An Assemblage-Based Framework for Analysis and Research," SAGE Open, , vol. 11(1), pages 21582440211, March.
    4. Lu, Peng & Yao, Qi & Lu, Pengfei, 2019. "Two-stage predictions of evolutionary dynamics during the rumor dissemination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 349-369.
    5. Vincent Pasquier & Alex J Wood, 2018. "The power of social media as a labour campaigning tool: lessons from OUR Walmart and the Fight for 15," Post-Print hal-01903758, HAL.
    6. Lu, Peng & Nie, Shizhao, 2019. "The strength distribution and combined duration prediction of online collective actions: Big data analysis and BP neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).

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