Kris Shaffer, Ph.D. (Yale University, 2011), is an Instructional Technology Specialist and Adjunct Instructor of Computer Science and Digital Studies at the University of Mary Washington. He is also a Contributing Editor for Hybrid Pedagogy and the lead author and editor of Open Music Theory.
Kris is a data scientist with a background in computational musicology, a digital media specialist, a software developer, and a published author. Recently, he has been developing open-source software and analytics tools for education, particularly in the context of critical digital pedagogy, open educational resources (OER), and UMW's Domain of One's Own initiative. He is also studying and writing on the spread of misinformation and disinformation through digital platforms ― both independently and for the volunteer collective, Data for Democracy.
There are bots everywhere, or so it seems. Some of these bots can be fun. But all too often, automated and otherwise high-volume social media accounts exist to deceive. Not only do they try to make readers believe they are real people, but they also participate in the spread of disinformation and malware, as well as coordinated harassment campaigns.
The bad news is that they often succeed in their deceptive ventures. But the good news is that most bots ― and their close cousins, “sockpuppets” and “trolls” ― exhibit some clear tell-tale signs. What follows is a list of those signs, based on our research into bots, sockpuppets, and disinformation on Twitter. With these signs, anyone can spot a bot, and resist the spread of disinformation online.
Read more at Data for Democracy... (Co-authored with Bill Fitzgerald.)