What's there to worry about?
Whether you are a client-facing researcher, or dealing with research suppliers on the client side, we are all anxious about data quality to varying extents. Is the data correct? Did we control for bias? How do we know? It might not keep everyone up at night, but at least a few of us stare up at the ceiling when the lights are off, hoping we made the right data-driven business decision. So, let's talk about how to spot "bots", which can be algorithms or humans, going through the motions to get paid and/or points. As...