 Depending on the type of Internet research being carried out, recruitment of participants may be done in a number of ways. As with any form of research, the study population or participants are selected for specific purposes (i.e., an ethnographic study of a particular group on online game players), or, can be selected from a range of sampling techniques (i.e., a convenience sample gleaned from the users of Amazon’s Mechanical Turk crowdsourcing  platform[4]).  In the U.S. context, a recruitment plan is considered part of the informed consent process, and as such, any recruitment script or posting must be reviewed and approved by an REB prior to posting or beginning solicitation (if the project is human subjects research). Further, the selection of participants must be impartial and unbiased, and any risks and benefits must be justly distributed. This concept is challenging to apply in Internet contexts, in which populations are often self-selected and can be exclusive, depending on membership and access status, as well as the common disparities of online access based on economic and social variables. Researchers also face recruitment challenges due to online subjects’ potential anonymity, especially as it relates to the frequent use of pseudonyms online, having multiple or alternative identities online, and the general challenges of verifying a subject’s age and demographic information. Moreover, basic ethical principles for approaching and recruiting participants involve protecting their privacy and confidentiality. Internet research can both maximize these protections, as an individual may never be known beyond a screen name or avatar existence; or, conversely, the use of IP addresses, placement of cookies, availability and access to more information than necessary for the research purposes, may minimize the protections of privacy and confidentiality.