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The impact of media access on democracy. Matt Bodnar & Flemming Schneider Rhode. Hypothesis. H0: There is no relationship between media access and levels of democracy H1: There is a relationship between media access and democracy
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The impact of media access on democracy Matt Bodnar & Flemming Schneider Rhode
Hypothesis • H0: There is no relationship between media access and levels of democracy • H1: There is a relationship between media access and democracy We predict a moderate positive relationship between media access and democracy.
Hypothesis II • H0: There is no relationship between media access and democracy in China • H1: There is a relationship between media access and democracy in China We predict a moderate negative relationship between media access and democracy in China
Importance to Policy Analysis • Democracy promotion key part of U.S. Foreign Policy • Conclusive findings could suggest alternative foreign policy strategies
Literature Review • Best & Wade - The Internet and Democracy: Global Catalyst or Democratic Dud? • McChesney – Rich Media, Poor Democracy • Kalathil, Shanthi – Dot.Com for Dictators • Chase, Mulvenon - You’ve Got Dissent! • Franda, Marcus – Launching into Cyberspace • Lynch, David – After the Propaganda State
Defining Our Variables • Democracy: We created a variable to represent democracy by taking the raw data scores from Freedom House for a states Political and Civil Liberties. • Each state was given between 1 and 60 points (60 being the most free) for Civil Liberties • Each state was given between 1 and 40 points (40 being the most free) for Political Liberties • Our Data for democracy therefore ranges from 1 (being the absolute least free) to 100 (being the most free possible) • Internet Access: We used the World Bank’s World Development Indicators to create a variable measuring Internet Users per 1000 people. • Media Access: We attempted to gather data regarding Newspapers per capita and the percentage of Televisions per household from the World Development Indicators, but the data was sparse and lacking in several areas. • Censorship: We used the Freedom House Freedom of the Press indicators to create a censorship scale ranging from 1(no censorship at all) to 100 (complete censorship). • GDP Per Capita: We used World Bank Data to compile a list of GDP per capita for each nation using base year 2000.
Datasets • WDI datasets • Newspapers per capita • % of households with TV • Internet users pr. 1000 capita • Freedom House raw data scores for • Freedom of the press • Democracy (CL and PR) • World.sav • CIA World Factbook
Methodology • Unit of Analysis: Nations • Research Design: Cross Sectional • Multiple Regression Analysis • Control variables: Censorship & GDP Per Capita • Qualitative research on China, with small quantitative comparison • N = 110
Case Study – Qualitative Analysis • Has the Internet fostered Democracy in China? • Chinese Government Tactics • Censorship – Great Firewall of China • Corporate Help – Google, Yahoo, Wikipedia • Dissidents • Short timeframe • Ambiguous Results
Problems with data • Countries with 100 can’t improve democratically within FH rankings • Internet Disproportionately weighted • No data for newspapers or cell phones • Small N for TV access • Censorship a very ambiguous and biased concept. No measurement for self censorship
Conclusions • Accept H0: No relationship on a global level • Previous studies disguised the type of information provided • Very Complex Issue – intervening variables, simultaneity • Short term vs. long term effect • Accept H0: No clear uniform relationship • Taiwan and Hong Kong has and will benefit more than mainland China • Government has been very efficient in blocking damaging information to the general public while dissidents use media internally