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Explaining Policy Adoption: An Empirical Analysis

Explaining Policy Adoption: An Empirical Analysis

Copyright: © 2018 |Pages: 22
ISBN13: 9781522552857|ISBN10: 1522552855|EISBN13: 9781522552864
DOI: 10.4018/978-1-5225-5285-7.ch005
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MLA

Ramona S. McNeal, et al. "Explaining Policy Adoption: An Empirical Analysis." Cyber Harassment and Policy Reform in the Digital Age: Emerging Research and Opportunities, IGI Global, 2018, pp.100-121. https://doi.org/10.4018/978-1-5225-5285-7.ch005

APA

R. McNeal, S. Kunkle, & M. Schmeida (2018). Explaining Policy Adoption: An Empirical Analysis. IGI Global. https://doi.org/10.4018/978-1-5225-5285-7.ch005

Chicago

Ramona S. McNeal, Susan M. Kunkle, and Mary Schmeida. "Explaining Policy Adoption: An Empirical Analysis." In Cyber Harassment and Policy Reform in the Digital Age: Emerging Research and Opportunities. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5285-7.ch005

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Abstract

The response by government officials to heartbreaking events such as the suicides of Ryan Halligan and Phoebe Price has been mixed. At the state level, actions have ranged from attempting to use traditional aggression policies to halt the rise of cyber aggression crimes to passing new laws aimed specifically at cyber aggression. What explains the differences in the state responses? In exploring this question, this chapter examines the influence of state-level variables on policy adoption for four different forms of cyber aggression. For laws addressing cyberbullying, cyber-harassment, and cyberstalking, this chapter explores the level of legislative action concerning the updating and/or passing of new laws for the years 2007 through 2015. Pooled cross-sectional time series data that controls for variation between states and over time is used. Revenge porn laws are examined, but because they are relatively new, a cross-sectional analysis is presented for the year 2016.

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