Interjurisdictional Competition and Urban Area Fragmentation

The collective action problem in political science examines the circumstances under which groups can be successfully formed and maintained. While earlier generations of political scientists believed that groups developed in democracies because of the nature of democratic culture and procedures, Mancur Olson (The Logic of Collective Action, 1965) demonstrated that free-riding doomed many attempts at collective action unless selective benefits were granted to members--hence automobile association members receive free travel services, for example. Subsequent theories posited other reasons for successful collective action, such as communication, leadership and anticipated returns from joining. Tests of these hypotheses have taken place primarily in laboratory experiments. This study conducts a real-world natural experiment, examining interjurisdictional competition (IJC)--a government's offer of incentives for businesses to locate within its environs as opposed to the territories of others--in the setting of urbanized areas of various degrees of fragmentation (political organization as one, several or many local governments). If the free-rider hypothesis is true, IJC would increase with higher fragmentation. As the "free-rider" title suggests, IJC has been portrayed in game theory as a prisoners' dilemma. However, more detailed analysis in this study reveals several possible games, each posing a related collective action problem. Methodologically, additive indices from a nationwide survey of economic development practices measure the intensity of IJC effort. Urban area fragmentation is represented by indices using the Hirschman-Herfindahl Index method. The major hypothesis--IJC is a function of fragmentation--is analyzed using OLS regression. The regressions refute the free-rider hypothesis. The statistical analysis then examines the subsequent explanations of collective action. Anticipated returns cannot be substantiated; however, civil society-based indicators show communication and leadership to be causes of successful collective action. Finally, a case study of Hampton Roads (the Virginia Beach-Norfolk-Newport News, Virginia metropolitan area) provides a historical narrative of the efficacy of communication and leadership in successful collective action as well as a possible example of game transition from the prisoners' dilemma to an assurance game

Combating Fake News: A Gravity Well Simulation to Model Echo Chamber Formation In Social Media

Fake news has become a serious concern as distributing misinformation has become easier and more impactful. A solution is critically required. One solution is to ban fake news, but that approach could create more problems than it solves, and would also be problematic from the beginning, as it must first be identified to be banned. We initially propose a method to automatically recognize suspected fake news, and to provide news consumers with more information as to its veracity. We suggest that fake news is comprised of two components: premises and misleading content. Fake news can be condensed down to a collection of premises, which may or may not be true, and to various forms of misleading material, including biased arguments and language, misdirection, and manipulation. Misleading content can then be exposed. While valuable, this framework’s utility may be limited by artificial intelligence, which can be used to alter fake news strategies at a rate exceeding the ability to update the framework. Therefore, we propose a model for identifying echo chambers, which are widely reported to be havens for fake news producers and consumers. We simulate a social media interest group as a gravity well, through which we identify the online groups postured to become echo chambers, and thus a source for fake news consumption and replication. This echo chamber model is supported by three pillars related to the social media group: technology employed, topic explored, and confirmation bias of group members. The model is validated by modeling and analyzing 19 subreddits on the Reddit social media platform. Contributions include a working definition for fake news, a framework for recognizing fake news, a generic model for social media echo chambers including three pillars central to echo chamber formation, and a gravity well simulation for social media groups, implemented for 19 subreddits

Using MapReduce Streaming for Distributed Life Simulation on the Cloud

Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp