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Communication Technologies Are Influencing The Term Paper

0 technologies in ensuring a higher level of voter participation and voting over time (Laslier, Van der Straeten, 2008). From the PEPS metric and the traceability of Web 2.0-based participation as shown on techpresident.com, a scorecard can be created that predicts the level of voter participation based on the effectiveness of campaign strategies candidates create to capitalize on Web 2.0-based technologies. The use of stratification techniques and Web analytics also make it possible to predict on a location-by-location basis the level of voter participation as well (Cebula, Toma, 2006). What is beginning to occur is the integration of business intelligence based on the data available through Web-based data capture and measurement techniques being analyzed through metrics that have been empirically derived and proven to support the measurement of voter participation (Moon, Birdsall, Ciesluk, Garlett, 2006).

Further adding insight and intelligence to the analysis of voter participation and segmentation into audiences, presidential candidates and their staffs are highly skilled in defining perceptual maps based on psychographic data, creating a graphical portrait of each audience within a given constituent base. The use of psychographics or...

The development of a pipeline analysis to define both the qualitative and quantitative aspects of voter participation based on Web 2.0-based technologies needs further research. The variations of the PEPS measurement model need to compensate for those factors, many unquantifiable, if a reliable and scalable model of voter participation based on the benefits of Web 2.0-based technologies is to be defined. Further, the development of entirely new approaches to defining the causal factors in how voters choose to commit and participate in elections based on the communication, collaboration and interactivity to candidates based on this new platform of technologies needs to be completed to further understand the dynamics inherent in these factors.
References

Richard J. Cebula, Michael Toma. (2006). Determinants of Geographic Differentials in the Voter Participation Rate. Atlantic Economic Journal, 34(1), 33. Retrieved May 6, 2008, from ABI/INFORM Global database. (Document ID: 1013181121).

Jean-Francois Laslier, Karine Van der Straeten. (2008). A live experiment on approval voting. Experimental Economics, 11(1), 97-105. Retrieved May 6, 2008, from ABI/INFORM Global database. (Document ID: 1434528501).

Bruce E. Moon, Jennifer Harvey Birdsall, Sylvia Ciesluk, Lauren M. Garlett, et al. (2006). Voting Counts: Participation in the Measurement of…

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References

Richard J. Cebula, Michael Toma. (2006). Determinants of Geographic Differentials in the Voter Participation Rate. Atlantic Economic Journal, 34(1), 33. Retrieved May 6, 2008, from ABI/INFORM Global database. (Document ID: 1013181121).

Jean-Francois Laslier, Karine Van der Straeten. (2008). A live experiment on approval voting. Experimental Economics, 11(1), 97-105. Retrieved May 6, 2008, from ABI/INFORM Global database. (Document ID: 1434528501).

Bruce E. Moon, Jennifer Harvey Birdsall, Sylvia Ciesluk, Lauren M. Garlett, et al. (2006). Voting Counts: Participation in the Measurement of Democracy. Studies in Comparative International Development, 41(2), 3-32. Retrieved May 6, 2008, from ABI/INFORM Global database. (Document ID: 1139343651).
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