How to spot fraudulent respondents and data bots in your data

As a researcher, one of the things I most look forward to on a project is getting a first look at the data. Don’t get me wrong, I enjoy the set-up phase, but when you’ve done all the hard work designing a programme of research to answer a specific problem or question, you really want to get your hands on the data to see what people are saying and start to think about what that means for the client.