Media reform plays an increasingly important role in the struggle for social justice. As battles are fought over the future of investigative journalism, media ownership, spectrum management, speech rights, broadband access, network neutrality, the surveillance apparatus, and digital literacy, what effective strategies can be used in the pursuit of effective media reform? Prepared by thirty-three scholars and activists from more than twenty-five countries, Strategies for Media Reform focuses on theorizing media democratization and evaluating specific projects for media reform. This edited collection of articles offers readers the opportunity to reflect on the prospects for and challenges facing campaigns for media reform and gathers significant examples of theory, advocacy, and activism from multinational perspectives.

The whirlwind of social media, online dating, and mobile apps can make life a dream or a nightmare. For every trustworthy website, there are countless jerks, bullies, and scam artists who want to harvest your personal information for their own purposes. But you can fight back, right now. In The Smart Girl s Guide to Privacy, award-winning author and investigative journalist Violet Blue shows you how women are targeted online and how to keep yourself safe. Blue s practical, user-friendly advice will teach you how to: Delete personal content from websites Use website and browser privacy controls effectively Recover from and prevent identity theft Figure out where the law protects you and where it doesn t Set up safe online profiles Remove yourself from people-finder websites Even if your privacy has already been compromised, don t panic. It s not too late to take control. Let The Smart Girl s Guide to Privacy help you cut through the confusion and start protecting your online life

The problem of privacy-preserving data analysis has a long history spanning multiple disciplines. As electronic data about individuals becomes increasingly detailed, and as technology enables ever more powerful collection and curation of these data, the need increases for a robust, meaningful, and mathematically rigorous definition of privacy, together with a computationally rich class of algorithms that satisfy this definition. Differential Privacy is such a definition. The Algorithmic Foundations of Differential Privacy starts out by motivating and discussing the meaning of differential privacy, and proceeds to explore the fundamental techniques for achieving differential privacy, and the application of these techniques in creative combinations, using the query-release problem as an ongoing example. A key point is that, by rethinking the computational goal, one can often obtain far better results than would be achieved by methodically replacing each step of a non-private computation with a differentially private implementation. Despite some powerful computational results, there are still fundamental limitations. Virtually all the algorithms discussed herein maintain differential privacy against adversaries of arbitrary computational power - certain algorithms are computationally intensive, others are efficient. Computational complexity for the adversary and the algorithm are both discussed. The monograph then turns from fundamentals to applications other than query-release, discussing differentially private methods for mechanism design and machine learning. The vast majority of the literature on differentially private algorithms considers a single, static, database that is subject to many analyses. Differential privacy in other models, including distributed databases and computations on data streams, is discussed. The Algorithmic Foundations of Differential Privacy is meant as a thorough introduction to the problems and techniques of differential privacy, and is an invaluable reference for anyone with an interest in the topic.