In this presentation Reips will provide an overview of guidelines and techniques, methods, and tools for Internet-based experimenting and research with Social Media, including solutions to many of the methodological challenges in data collection via the Internet. The challenges discussed here include issues in design, security, selection of and access to social media platforms, recruitment, multiple submissions, measurement scales (e.g. visual analogue scales), response time measurement, dropout, and data quality. Some widely used tools and practices like Amazon Mechanical Turk, the cognitive reflection test, and forced responding are critically reviewed. Among other methods that have been developed in Web methodology and Internet science, Reips will explain the one-item-one-screen (OIOS) design, the seriousness check, option bars, and the multiple site entry technique. Among other tools available from the iScience Server at Reips will demonstrate a new version of our Web experiment generator WEXTOR ( as a tool that automatically implements optimal solutions. Another example is Social Lab, a "Open Source Facebook" available at that can be played with in learning about privacy at The presentation will conclude with evolving and future scenarios of using social media and online data in scientific work.

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