Social Bots: Human-Like by Means of Human Control?
June 23, 2017 Β· Declared Dead Β· π Big Data
"No code URL or promise found in abstract"
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Authors
Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
arXiv ID
1706.07624
Category
cs.SI: Social & Info Networks
Citations
144
Venue
Big Data
Last Checked
4 months ago
Abstract
Social bots are currently regarded an influential but also somewhat mysterious factor in public discourse and opinion making. They are considered to be capable of massively distributing propaganda in social and online media and their application is even suspected to be partly responsible for recent election results. Astonishingly, the term `Social Bot' is not well defined and different scientific disciplines use divergent definitions. This work starts with a balanced definition attempt, before providing an overview of how social bots actually work (taking the example of Twitter) and what their current technical limitations are. Despite recent research progress in Deep Learning and Big Data, there are many activities bots cannot handle well. We then discuss how bot capabilities can be extended and controlled by integrating humans into the process and reason that this is currently the most promising way to go in order to realize effective interactions with other humans.
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