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A Social Bot Success Model

December 14th, 2021

Social Bots (software robots) are computer algorithms that automatically produce content and interact with humans on social media. The goal of this study is to discover success factors that make the use of a (chat)bot successful.

Thesis Type Bachelor
Status Running
Proposal on 01/02/2022 2:00 pm
Proposal room Zoom
Supervisor(s) Ralf Klamma
Stefan Decker
Advisor(s) Alexander Neumann

In our efforts to support heterogeneous communities with the tools and structures they need, we created our flagship peer-to-peer community platform las2peer. In our latest research efforts, we developed a social bot framework, which allows for a model-driven collaborative construction and utilization of social bots in the domain of technology enhanced learning (TEL). With the latest enhancements, it is possible to query aggregated usage data and visualizations via chat or to conduct surveys via chat.

 

The goal of this thesis is to discover success factors for (chat)bots and create a success model by utilizing the MobSOS Evaluation Center. The social bot framework should give its bot creators live statistics on their usage and performance by visualizing them on the dashboard, but also via chat.

If you are interested in this thesis, please do not hesitate to send a message to  neumann@dbis.rwth-aachen.de.