Personal data in the online world as become a commodity. Coveted by criminals, demanded by governments, and used for unsavory purposes by marketers and advertisers, your private information is at risk everywhere. For libraries and librarians, this poses a professional threat as well as a personal one. How can we protect the privacy of library patrons and users who browse our online catalogs, borrow sensitive materials, and use our public computers and networks? User Privacy: A Practical Guide for Librarians answers that question. Through simple explanations and detailed, step-by-step guides, library professionals will learn how to strengthen privacy protections for: Library policies Wired and wireless networks Public computers Web browsers Mobile devices Apps Cloud computing Each chapter begins with a "threat assessment" that provides an overview of the biggest security risks – and the steps that can be taken to deal with them. Also covered are techniques for preserving online anonymity, protecting activists and at-risk groups, and the current state of data encryption.

Online user privacy is a delicate issue that has been unfortunately overlooked by technology corporations and especially the public since the birth of the internet. Many online businesses and services such as web search engines, retailers, and social network sites exploit user data for profit. There is a misconception among people about the term “privacy.” Usually, people think that privacy is the ability of an individual to isolate themselves or that it is a person’s right to control access to their personal information. However, privacy is not just about revealing secret information; it also includes exploiting user personal data, as the exploitation of personal data may lead to disastrous consequences. Protecting User Privacy in Web Search Utilization presents both multidisciplinary and interdisciplinary works on questions related to experiences and phenomena that can or could be covered by concepts regarding the protection and privacy of web service users. It further highlights the importance of web search privacy to the readers and educates them about recent developments in the field. Covering topics such as AI-based intrusion detection, desktop search engines, and privacy risks, this premier reference source is an essential resource for students and educators of higher education, data experts, privacy professionals and engineers, IT managers, software developers, government officials, archivists and librarians, privacy rights activists, researchers, and academicians.

Surveys the rich and diverse landscape of privacy in HCI and CSCW, describing some of the legal foundations and historical aspects of privacy, sketching out an overview of the body of knowledge with respect to designing, implementing, and evaluating privacy-affecting systems, and charting many directions for future work.

User-adaptive (or "personalized") systems take individual character istics of their current users into account and adapt their behavior ac cordingly. Several empirical studies demonstrate their benefits in areas like education and training, online help for complex software, dynamic information delivery, provision of computer access to people with dis abilities, and to some extent information retrieval. Recently, personal ized systems have also started to appear on the World Wide Web where they are primarily used for customer relationship management. The aim hereby is to provide value to customers by serving them as individuals and by offering them a unique personal relationship with the business. Studies show that web visitors indeed spend considerably more time at personalized than at regular portals and view considerably more web pages. Personalized sites in general also draw more visitors and turn more visitors into buyers. Personalization therefore would look like a win-win technology for both consumers and online businesses. However, it has a major down side: in order to be able to exhibit personalized behavior, user-adaptive systems have to collect considerable amounts of personal data and "lay them in stock" for possible future usage. Moreover, the collection of information about the user is often performed in a relatively inconspic uous manner (such as by monitoring users' web navigation behavior), in order not to distract users from their tasks.

This book constitutes the refereed proceedings of the 6th International Symposium on End-User Development, IS-EUD 2017, held in Eindhoven, The Netherlands, in June 2017. The 10 full papers and 3 short papers presented were carefully reviewed and selected from 26 submissions. According to the theme of the conference "that was business, this is personal" the papers address the personal involvement and engagement of end-users, the application of end-user programming beyond the professional environment looking also at discretionary use of technologies. They also deal with topics covered by the broader area of end-user development such as domain specific tools, spreadsheets, and end user aspects.

This book constitutes the refereed proceedings of the 11th International Conference on User Modeling, UM 2007, held in Corfu, Greece in July 2007. Coverage includes evaluating user/student modeling techniques, data mining and machine learning for user modeling, user adaptation and usability, modeling affect and meta-cognition, as well as intelligent information retrieval, information filtering and content personalization.

How we can evade, protest, and sabotage today's pervasive digital surveillance by deploying more data, not less—and why we should. With Obfuscation, Finn Brunton and Helen Nissenbaum mean to start a revolution. They are calling us not to the barricades but to our computers, offering us ways to fight today's pervasive digital surveillance—the collection of our data by governments, corporations, advertisers, and hackers. To the toolkit of privacy protecting techniques and projects, they propose adding obfuscation: the deliberate use of ambiguous, confusing, or misleading information to interfere with surveillance and data collection projects. Brunton and Nissenbaum provide tools and a rationale for evasion, noncompliance, refusal, even sabotage—especially for average users, those of us not in a position to opt out or exert control over data about ourselves. Obfuscation will teach users to push back, software developers to keep their user data safe, and policy makers to gather data without misusing it. Brunton and Nissenbaum present a guide to the forms and formats that obfuscation has taken and explain how to craft its implementation to suit the goal and the adversary. They describe a series of historical and contemporary examples, including radar chaff deployed by World War II pilots, Twitter bots that hobbled the social media strategy of popular protest movements, and software that can camouflage users' search queries and stymie online advertising. They go on to consider obfuscation in more general terms, discussing why obfuscation is necessary, whether it is justified, how it works, and how it can be integrated with other privacy practices and technologies.