Suchergebnisse

While the online sphere is believed to expose individuals to a wider array of viewpoints, a worry about self-reinforcing political echo chambers also persists. We join this scholarly debate by focusing on individual motives for political discussion and dyadic- and structural-level mechanisms that can drive one's message-selection decision in online discussion settings. Using unobtrusively logged behavioral data matched with panel survey responses, our temporal exponential random graph model (TERGM) analysis indicates that message selection in online discussion settings is largely driven by the similarity of one's candidate evaluative criteria and various endogenous structural factors, whereas the impact of overt partisan preference in shaping message selection is much more limited than is often assumed.

This study analyzes the political use of Twitter in the run-up to the 2013 Malaysian General Election. It follows a content and social network analysis approach to investigate the interplay of language and political partisanship in social media use, among Twitter users in Malaysia. In the period leading up to the 2013 elections, Twitter posts collected under the hashtag #GE13 reveal that communities that post in English versus the Malay language, differ in how they use Twitter and with whom they interact. As compared to English users, Malay users are more likely to seek political information and express their political opinion. In online discussions, we observe language-based homophily within the English and Malay language communities, but there are some cross-cutting interactions between opposing political communities. We discuss the implications of our findings for the political use of new communication technologies in multi-ethnic and multilingual societies.

In this study, it is theorized that the communicative affordances offered by social media platforms will enable politically under-resourced candidates to contest the marginalization they face in traditional media. Multivariate analyses were conducted of the tweets of 205 political candidates of the 2014 Indian general election. Findings reveal that fringe party candidates received the least media attention and tended to use Twitter more frequently than major party candidates, especially for interaction and mobilization. Minor party candidates also received less media attention, albeit their Twitter usage patterns were not significantly different than major party candidates. The results illustrate that social media platforms can help overcome resource inequality in politics. The larger implications of this study are discussed.

© 2017 Elsevier Ltd. In this study, it is theorized that the communicative affordances offered by social media platforms will enable politically under-resourced candidates to contest the marginalization they face in traditional media. Multivariate analyses were conducted of the tweets of 205 political candidates of the 2014 Indian general election. Findings reveal that fringe party candidates received the least media attention and tended to use Twitter more frequently than major party candidates, especially for interaction and mobilization. Minor party candidates also received less media attention, albeit their Twitter usage patterns were not significantly different than major party candidates. The results illustrate that social media platforms can help overcome resource inequality in politics. The larger implications of this study are discussed.

Recent years have witnessed growing interest in the critical role of local/regional governance structures in shaping physical land development and associated natural resource management processes. This article investigates how political fragmentation in local governance can affect land use patterns through a watershed-level analysis of population and employment density changes in the Interior Plains, the largest physiographic division of the US. Population density change rates are found to be negatively associated with a higher degree of political fragmentation, while employment density does not show such a clear relationship with political fragmentation. This finding shows that political fragmentation may present significant challenges to land and water resource management, a result consistent with the previous empirical research.

© 2015, Springer Science+Business Media New York. Recent years have witnessed growing interest in the critical role of local/regional governance structures in shaping physical land development and associated natural resource management processes. This article investigates how political fragmentation in local governance can affect land use patterns through a watershed-level analysis of population and employment density changes in the Interior Plains, the largest physiographic division of the US. Population density change rates are found to be negatively associated with a higher degree of political fragmentation, while employment density does not show such a clear relationship with political fragmentation. This finding shows that political fragmentation may present significant challenges to land and water resource management, a result consistent with the previous empirical research.

While much scholarly attention has been paid to ways in which metropolitan areas are politically structured and operated to achieve a dual goal, economic growth, and equality, relatively less is known about the complex relationship between metropolitan governance structures and growth–inequality dynamics. This study investigates how and to what extent metropolitan governance structures shape regional economic growth and inequality trajectories using data for 267 US metropolitan areas from 1990 to 2010. Findings from a two-stage least squares regression analysis suggest that economic growth is associated with governance structures in a nonlinear fashion, with relatively more rapid growth rates in both highly centralized and decentralized metropolitan areas. However, these regions are also found to experience a larger increase in income inequality, indicating an important trade-off to be considered carefully in exploring ways to reform existing governance settings. These findings further suggest that the so-called growth–inequality trade-off may exist not only in their direct interactions but through their connections via governance or other variables.

This paper employs an interdisciplinary approach that combines economics with Fuzzy Analytic Hierarchy Process (FAHP) approach to de-codify the anatomy of free trade agreements (FTA) determinants focusing, in particular, on the case of EU-India FTA. The novelty of this paper is the systematic empirical analysis of the FTA determinants using FAHP. More than a hundred businesses and trade practitioners were interviewed in the EU and India to understand the lack of momentum in FTA talks. Our findings indicate that economic and political criteria are predominant FTA determinants, with market access potential (economic) as important factors driving the EU-India FTA talks. Given that results suggest similar perceptions of both the EU and India interview-ees to FTA determinants it is likely that the EU and India could find common ground and resume the languishing FTA negotiations.

Abstract. The tsunamis that have occurred in many places around the world over the past decade have taken a heavy toll on human lives and property. The eastern coast of the Korean Peninsula is not safe from tsunamis, particularly the eastern coastal areas, which have long sustained tsunami damage. The eastern coast had been attacked by 1983 and 1993 tsunami events. The aim of this study was to mitigate the casualties and property damage against unexpected tsunami attacks along the eastern coast of the Korean Peninsula by developing a proper tsunami response system for important ports and harbors with high population densities and high concentrations of key national industries. The system is made based on numerical and physical modelings of 3 historical and 11 virtual tsunamis events, field surveys, and extensive interviews with related people.