Amazon's Mechanical Turk for Academics is a handy, inexpensive guide for researchers wishing to make the most out of MTurk. Kim Sheehan and Matthew Pittman walk readers through the basics of setting up a study -- from choosing a survey platform, to obtaining IRB approvals, to recruiting and paying respondents.

Conducting Online Research on Amazon Mechanical Turk® and Beyond, written by Leib Litman and Jonathan Robinson, provides both students and experienced researchers with essential information about the online platforms most often used for social science research. This insightful and accessible text answers common questions like, "How do I maintain data quality in online studies?," "What is the best way to recruit hard-to-reach samples?" and "How can researchers navigate the ethical issues that are unique to online research?" Drawing on their experiences as the founders of CloudResearch (formerly TurkPrime), the authors provide information that guides new users planning their first online studies and engages even the most experienced researchers with detailed discussions about the challenges of online research. The book begins with an overview of Amazon’s Mechanical Turk and its rapid rise within academic research. Then, the authors describe how to set up an MTurk study with screenshots that walk readers through the steps of creating an account, designing a study, collecting data, and using third-party applications to enhance MTurk’s functionality. Later chapters provide readers with a detailed understanding of the MTurk environment and use data from hundreds of thousands of participants and tens of millions of completed tasks to dive into issues like participant demographics, sources of sampling bias, and the generalizability of findings from MTurk. Finally, the book explores the benefits of using other online platforms as a complement to MTurk and the ethical issues that are unique to conducting research with online participant platforms. Throughout the book, the authors share hands-on advice and best practices, such as those for conducting longitudinal studies or carrying out complex studies. Altogether the mix of data, insight, and advice make this book an essential resource for researchers who want to understand the online environment and the most effective ways to conduct research online.

Conducting Online Research on Amazon Mechanical Turk® and Beyond, written by Leib Litman and Jonathan Robinson, provides both students and experienced researchers with essential information about the online platforms most often used for social science research. This insightful and accessible text answers common questions like, "How do I maintain data quality in online studies?," "What is the best way to recruit hard-to-reach samples?" and "How can researchers navigate the ethical issues that are unique to online research?" Drawing on their experiences as the founders of CloudResearch (formerly TurkPrime), the authors provide information that guides new users planning their first online studies and engages even the most experienced researchers with detailed discussions about the challenges of online research. The book begins with an overview of Amazon's Mechanical Turk and its rapid rise within academic research. Then, the authors describe how to set up an MTurk study with screenshots that walk readers through the steps of creating an account, designing a study, collecting data, and using third-party applications to enhance MTurk's functionality. Later chapters provide readers with a detailed understanding of the MTurk environment and use data from hundreds of thousands of participants and tens of millions of completed tasks to dive into issues like participant demographics, sources of sampling bias, and the generalizability of findings from MTurk. Finally, the book explores the benefits of using other online platforms as a complement to MTurk and the ethical issues that are unique to conducting research with online participant platforms. Throughout the book, the authors share hands-on advice and best practices, such as those for conducting longitudinal studies or carrying out complex studies. Altogether the mix of data, insight, and advice make this book an essential resource for researchers who want to understand the online environment and the most effective ways to conduct research online.

Conducting Online Research on Amazon Mechanical Turk® and Beyond, written by Leib Litman and Jonathan Robinson, provides both students and experienced researchers with essential information about the online platforms most often used for social science research. This insightful and accessible text answers common questions like, "How do I maintain data quality in online studies?," "What is the best way to recruit hard-to-reach samples?" and "How can researchers navigate the ethical issues that are unique to online research?" Drawing on their experiences as the founders of CloudResearch (formerly TurkPrime), the authors provide information that guides new users planning their first online studies and engages even the most experienced researchers with detailed discussions about the challenges of online research. The book begins with an overview of Amazon’s Mechanical Turk and its rapid rise within academic research. Then, the authors describe how to set up an MTurk study with screenshots that walk readers through the steps of creating an account, designing a study, collecting data, and using third-party applications to enhance MTurk’s functionality. Later chapters provide readers with a detailed understanding of the MTurk environment and use data from hundreds of thousands of participants and tens of millions of completed tasks to dive into issues like participant demographics, sources of sampling bias, and the generalizability of findings from MTurk. Finally, the book explores the benefits of using other online platforms as a complement to MTurk and the ethical issues that are unique to conducting research with online participant platforms. Throughout the book, the authors share hands-on advice and best practices, such as those for conducting longitudinal studies or carrying out complex studies. Altogether the mix of data, insight, and advice make this book an essential resource for researchers who want to understand the online environment and the most effective ways to conduct research online.

Widely accepted as a low-cost, fast-turnaround solution with acceptable validity, Amazon's Mechanical Turk (MTurk) is increasingly being used to source participants for academic studies. Yet two commonly raised concerns remain: the presence of quasi-professional respondents, or “Super-Turkers”, and the presence of “Spammers”, those that compromise quality while optimising their pay rate. We isolate the influence on research results of experienced subjects (Super-Turkers), and of unreliable subjects (Spammers), jointly and separately. Jointly including these subjects produces very similar results to jointly excluding them, yet effect sizes decrease disproportionately to their sample representation. Furthermore, separately including experienced subjects in research results is shown to be as problematic as inclusion of unreliable subjects, although the noise introduced by these subjects is divergent and measure dependent. Hence removing only one of these types of respondents can be even more damaging to the reliability of results, than including both.

This volume constitutes selected papers presented at the Second International Symposium on Emerging Information Security and Applications, EISA 2021, held in Copenhagen, Denmark, in November 2021.* The 10 full papers and 1 short paper presented in this volume were thoroughly reviewed and selected from the 36 submissions. They present a discussion on the emerging techniques, theories and applications to enhance information and application security in practice. *Due to the COVID-19 pandemic the conference was held online.

This book is a guide for workers on how to make money online through the Amazon Mechanical Turk (MTurk). The book begins by taking you through a short section to help you learn what Amazon Mechanical Turk is. Of course, it is good for you to learn what it is so as to begin earning from it. The next step is a guide for you on how to get started by setting up your Mechanical Turk account. You will be briefly introduced to how to use the Mechanical Turk in this chapter. Next, the book guides you on how to use scripts, and you will learn their importance in Mechanical Turk. The most common scripts for MTurk are discussed. You are guided on how to install them and how to use them. The HIT Scrapper is a good tool and makes it easy and faster for you find HITs (Human Intelligent Tasks) on the Mechanical Turk. This book guides you on how to use this tool so as to make your work easier. It guides you on how to install the tool and use it to find the HITs. The mturk PandA is also a good tool for MTurk workers. It helps them grab HITs more easily, meaning that they will have more work to do and hence more earnings. The book guides you on how to use this tool. In MTurk, repetitive tasks forms majority of the HITs. It calls for you to come up with a way which will help you automate the repetitive tasks. This book guides you on how to do this by use of the AutoHotKey. The following topics are discussed in this book: - What is Mechanical Turk? - Account Setup - The Scripts - The HIT Scrapper - MTurk PandA - AutoHotKey for Turking - Turkmaster - The SearchHITs Operation