Description
Speculation regarding interstate conflict is of great concern to many, if not, all people. As such, forecasting interstate conflict has been an interest to experts, scholars, government officials, and concerned citizens. Presently, there are two approaches to the problem of conflict forecasting with divergent results. The first tends to use a bird’s eye view with big data to forecast actions while missing the intimate details of the groups it is studying. The other opts for more grounded details of cultural meaning and interpretation, yet struggles in the realm of practical application for forecasting. While outlining issues with both approaches, an important question surfaced: are actions causing interpretations and/or are the interpretations driving actions? In response, the Theory of Narrative Conflict (TNC) is proposed to begin answering these questions. To properly address the complexity of forecasting and of culture, TNC draws from a number of different sources, including narrative theory, systems theory, nationalism, and the expression of these in strategic communication.
As a case study, this dissertation examines positions of both the U.S. and China in the South and East China Seas over five years. Methodologically, this dissertation demonstrates the benefit of content analysis to identify local narratives and both stabilizing and destabilizing events contained in thousands of news articles over a five-year period. Additionally, the use of time series and a Markov analysis both demonstrate usefulness in forecasting. Theoretically, TNC displays the usefulness of narrative theory to forecast both actions driven by narrative and common interpretations after events.
Practically, this dissertation demonstrates that current efforts in the U.S. and China have not resulted in an increased understanding of the other country. Neither media giant demonstrates the capacity to be critical of their own national identity and preferred interpretation of world affairs. In short, the battle for the hearts and minds of foreign persons should be challenged.
As a case study, this dissertation examines positions of both the U.S. and China in the South and East China Seas over five years. Methodologically, this dissertation demonstrates the benefit of content analysis to identify local narratives and both stabilizing and destabilizing events contained in thousands of news articles over a five-year period. Additionally, the use of time series and a Markov analysis both demonstrate usefulness in forecasting. Theoretically, TNC displays the usefulness of narrative theory to forecast both actions driven by narrative and common interpretations after events.
Practically, this dissertation demonstrates that current efforts in the U.S. and China have not resulted in an increased understanding of the other country. Neither media giant demonstrates the capacity to be critical of their own national identity and preferred interpretation of world affairs. In short, the battle for the hearts and minds of foreign persons should be challenged.
Details
Title
- The theory of narrative conflict
Contributors
- Nolen, Matthew Scott (Author)
- Corman, Steven R. (Thesis advisor)
- Adame, Bradley (Committee member)
- Simon, Denis (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2017
Subjects
- Communication
- Asian studies
- Political Science
- Conflict
- Content Analysis
- Intercultural communication
- Interstate Conflict
- Rational choice theory
- time series
- Mass media and international relations--United States.
- Mass media and international relations
- Mass media and international relations--China.
- Mass media and international relations
Resource Type
Collections this item is in
Note
- thesisPartial requirement for: Ph.D., Arizona State University, 2017
- bibliographyIncludes bibliographical references (pages 148-155)
- Field of study: Communication studies
Citation and reuse
Statement of Responsibility
by Matthew Scott Nolen