Shocking the Crowd: The Effect of Censorship Shocks on Chinese Wikipedia

Collaborative crowdsourcing has become a popular approach to organizing work across the globe. Being global also means being vulnerable to shocks -- unforeseen events that disrupt crowds -- that originate from any country. In this study, we examine changes in collaborative behavior of editors of Chinese Wikipedia that arise due to the 2005 government censor- ship in mainland China. Using the exogenous variation in the fraction of editors blocked across different articles due to the censorship, we examine the impact of reduction in group size, which we denote as the shock level, on three collaborative behavior measures: volume of activity, centralization, and conflict. We find that activity and conflict drop on articles that face a shock, whereas centralization increases. The impact of a shock on activity increases with shock level, whereas the impact on centralization and conflict is higher for moderate shock levels than for very small or very high shock levels. These findings provide support for threat rigidity theory -- originally introduced in the organizational theory literature -- in the context of large-scale collaborative crowds

Human Computation and Convergence

Humans are the most effective integrators and producers of information, directly and through the use of information-processing inventions. As these inventions become increasingly sophisticated, the substantive role of humans in processing information will tend toward capabilities that derive from our most complex cognitive processes, e.g., abstraction, creativity, and applied world knowledge. Through the advancement of human computation - methods that leverage the respective strengths of humans and machines in distributed information-processing systems - formerly discrete processes will combine synergistically into increasingly integrated and complex information processing systems. These new, collective systems will exhibit an unprecedented degree of predictive accuracy in modeling physical and techno-social processes, and may ultimately coalesce into a single unified predictive organism, with the capacity to address societies most wicked problems and achieve planetary homeostasis.Comment: Pre-publication draft of chapter. 24 pages, 3 figures; added references to page 1 and 3, and corrected typ

"Fiscal Deficit, Capital Formation, and Crowding Out in India: Evidence from an Asymmetric VAR Model"

This paper analyzes the real (direct) and financial crowding out in India between 1970–71 and 2002–03. Using an asymmetric vector autoregressive (VAR) model, the paper finds no real crowding out between public and private investment; rather, complementarity is observed between the two. The dynamics of financial crowding out is captured through the dual transmission mechanism via the real rate of interest—that is, whether private capital formation is interest-rate sensitive and, in turn, whether the rise in the real rate of interest is induced by a fiscal deficit. The study found empirical evidence for the former but not the latter, supporting the conclusion that there is no financial crowding out in India. The differential impacts of public infrastructure and noninfrastruture innovations on the private corporate sector are carried out separately to analyze the nonhomogeneity aspects of public investment. The results of the Impulse Response Function reinforced that no other macrovariables, including cost and quantity of credit and the output gap, have been as significant as public investment—in particular, public infrastructure investment—in determining private corporate investment in the medium and long terms, which has crucial policy implications.