Conducting Online Research on Amazon Mechanical Turk and Beyond, written by Leib Litman and Jonathan Robinson, provides students and researchers alike with essential information and research on the platform for social science research. This new text offers answers to common questions like, “How good is the data quality of these online studies?,” “What is the best way to recruit hard-to-reach samples?” and “How should researchers approach the ethical issues that are unique to the online environment?” Drawing on their experiences founding and developing CloudResearch, an online platform designed specifically to connect applied researchers with Amazon Mechanical Turk (MTurk), the authors hone in on common researcher pitfalls and key information researchers need to know before beginning their studies. This book starts with an overview of the MTurk and then covers the mechanisms of setting a study. Screenshots of the platform walk readers through the research process, from setting up an account to evaluating data quality to working with third-party applications. Further chapters provide a profile of MTurk systems and cultures, drawing from the authors’ own research into the platform and data from CloudResearch. The aggregated data on hundreds of thousands of participants and tens of millions of tasks in this text provides the clearest snapshot to date on participant characteristics in MTurk. Challenging but necessary topics like sampling, data representativeness, and conducting longitudinal research online get full treatment in this text. Final chapters contribute to the dialogue on the development of MTurk, detailing issues of ethics, bias, effectiveness of research, and comparisons to other online methods for research. Rarely-addressed technical issues like APIs, pay rates, and sampling methodologies offer concrete courses of action for researchers. This book is an excellent source of information for researchers wanting to know more about how to best use Amazon Mechanical Turk.