The purpose of this research is to provide a methodology to detect and mitigate destructive patterns that are generated in crowdsourcing systems which result in negative consequence through contributors’ interactions.
Vote manipulation is a form of co-destruction that can result from intentionally biasing a rating.
Our ultimate goal is to provide guidance when setting up crowdsourcing systems that prevents co- destruction or detects it before it becomes problematic.
As a VRES student, you'll assist the research team by investigating real-life data sets.
As a research student (Honours or Masters) you may develop algorithms that provide a detection /mitigation mechanism for a particular co-destruction pattern in crowdsourcing systems. This could include GitHub or Wikipedia.
As a result of finishing this project, you'll need to:
- extract a relevant information from a crowdsourcing platform.
- provide an algorithm for detecting or mitigating a particular co-destruction pattern from occurring in crowdsourcing systems.
Skills and experience
To be considered for this project, you should have a technical background in:
- computer science
- information technology
- data science
- equivalent field of study.
You should also demonstrate excellent programming skills in Python.
Contact the supervisor for more information.