Tweeting India’s Nirbhaya protest: a study of emotional dynamics in an online social movement

Abstract

Previous research has recognized the role of emotions in protests and social movements in the offline world. Despite the current scenario of ubiquitous social media and ‘Twitter revolutions,’ our knowledge about the connections between emotions and online protests still remains limited. In this study, we examine whether online protest actions follow the same emotional groundwork for supporting and nurturing a social movement as in the offline world, and how these emotions vary across various stages of the social movement. Through a computer-assisted emotion analysis of 65,613 Twitter posts (tweets), posted during the Nirbhaya social movement (movement against the Delhi gang-rape incident) in India, we identified a strong resemblance between online emotional patterns and offline protest emotions as discussed in literature. Formal statistical testing of a range of emotions (negativity, positivity, anger, sadness, anxiety, certainty, individualism, collectivism, and achievement) demonstrates that they significantly differed across stages of the social movement; as such, they influenced the course of the online protest, resonating parallels with offline events. The findings highlight the importance of anger and anxiety in stirring the collective conscience, and identify that positive emotion was pervasive during the protest event. Implications of these findings are discussed.     

Designing a multiple state repetitive group sampling plan based on the coefficient of variation

A multiple state repetitive group sampling (MSRGS) plan is developed on the basis of the coefficient of variation (CV) of the quality characteristic which follows a normal distribution with unknown mean and variance. The optimal plan parameters of the proposed plan are solved by a nonlinear optimization model, which satisfies the given producer's risk and consumer's risk at the same time and minimizes the average sample number required for inspection. The advantages of the proposed MSRGS plan over the existing sampling plans are discussed. Finally an example is given to illustrate the proposed plan.     

Choices at various levels of uncertainty: An experimental test of the restated diversification theorem

Our “Restated diversification theorem” (Skogh and Wu, 2005) says that risk-averse agents may pool risks efficiently without assignment of subjective probabilities to outcomes, also at genuine uncertainty. It suffices that the agents presume that they face equal risks. Here, the theorem is tested in an experiment where the probability of loss, and the information about this probability, varies. The result supports our theorem. Moreover, it tentatively supports an evolutionary theory of the insurance industry—starting with mutual pooling at uncertainty, turning into insurance priced ex ante when actuarial information is available.     

The Dynamic Relationship Between Technology Innovation and Human Development in Technologically Advanced Countries: Fresh Insights from Quantiles-on-Quantile Approach

Our study investigates the relationship between technology innovation and human development in technologically advanced countries using data from quarterly observations from the last decade of the twentieth century to the first two decades of the twenty-first century. This objective of this study is to implement Quantile-on-Quantile regression (QQ) technique that as formulated by Sim and Zhou (J Bank Finance 55:1–8, 2015) and the renowned Granger-causality in quantiles as proposed by Troster (Econom Rev 37(8):850–866, 2018) examine the basic relationship between the given quantiles of technology innovation and their effects on the quantiles of human development. Therefore, the outcomes of this study explain the overall interdependence of technology innovation and affect the overall human development index. It is enumerated that the empirical results indicate that a significant positive relationship exists between technology innovation and human development in all selected technologically advanced countries, predominantly in both low and high tails. Moreover, the outcomes of Granger causality quantiles indicate a bi-directional fundamental relationship between these two variables in the dataset of all countries. The outcomes of the observations are extended to the recent findings on these two variables’ nexus and imply a differential impact on the technologically advanced countries. This causality guides us to offer some specific policy recommendations to each group of countries.

     

Federalism and the Implementation of Environmental Policy: Changing Trends in Canada and the United States

In a federal system of government, powers are shared by the national and sub-national units in accordance with the provisions of the Constitution. However, the process of policy implementation may differ on the basis of allocation of power and the nature of the system. Canada and the United States of America adopted federal systems of government, and faced similar pressures for implementing policies on environmental issues. Yet, the degree of success and outcome appear to be different due to variations in the strength of the respective federalist systems. An analysis of the various aspects of the federal system in the two countries reveals noticeable differences in institutional configurations, relationship between national and sub-national units, and variances in intra-institutional relations. All these have contributed to a divergence in the past, but there is an emerging trend of convergence as both the Canadian and American governments are gradually moving away from their existing patterns of policy implementation toward a new approach involving private-sector initiatives and self-enforcement with strong inclinations toward voluntarization, corporatization and marketization.     

Merging data from multiple sources: pretest and shrinkage perspectives

In this article, we have developed asymptotic theory for the simultaneous estimation of the k means of arbitrary populations under the common mean hypothesis and further assuming that corresponding population variances are unknown and unequal. The unrestricted estimator, the Graybill-Deal-type restricted estimator, the preliminary test, and the Stein-type shrinkage estimators are suggested. A large sample test statistic is also proposed as a pretest for testing the common mean hypothesis. Under the sequence of local alternatives and squared error loss, we have compared the asymptotic properties of the estimators by means of asymptotic distributional quadratic bias and risk. Comprehensive Monte-Carlo simulation experiments were conducted to study the relative risk performance of the estimators with reference to the unrestricted estimator in finite samples. Two real-data examples are also furnished to illustrate the application of the suggested estimation strategies.     

Constructing Co-governance between Government and Civil Society: An Institutional Approach to Collaboration

The aim of this paper is to analyze how civil society organizations (CSOs) collaborate with both developed and developing governments in Asia through institutional processes. It argues that in developed countries, institutional arrangements have a positive impact on collaboration. Favourable administrative governance can create collaboration between governments and CSOs. This paper reports on 3,944 studies of CSOs from 2004 to 2009 in Tokyo, Seoul, Manila, and Dhaka. CSOs in Tokyo have better combined collaborative and institutional processes than those in the other three cities. Governance in Seoul is more polarized than in the other cities, and in both Manila and Dhaka, despite there being a high degree of institutionalized relations between CSOs and the government, their collaboration is low. This research also finds that intermediary institutions between governments and CSOs play a role in co-governance.     

Environmental Sustainability and Social Work: A Rural Australian Evaluation of Incorporating Eco-Social Work in Field Education

Climate change poses significant threat to the wellbeing of global society. Addressing this change has as yet generated no fixed blueprint for social work practice and education. This paper reports on a formative evaluation of one Australian initiative to address this transformative opening in social work field education. Prompted by service users' and workers' experience of the impact of drought, a rurally located social work course team amended the field education curriculum to include a focus on Environment and Sustainability. This learning goal was added to the existing learning goals derived from the Australian Association of Social Workers (AASW) Practice Standards. Students and field supervisors were surveyed on their experience of meeting this new learning goal. While most expressed confidence in understanding the concepts involved, they clearly lacked assurance in interpreting these in practice encounters. Considering their qualitative input suggests that this topic is making a transition from being on the margins of social work to becoming mainstream. Their open-ended responses indicate that the incorporation of environmental sustainability into practice is at a threshold stage of development. Further enactment of eco-social work at the local level is concluded to be supported by using a transformative learning framework in facilitating critical reflection and collaborative dialogue for effective change.