Study level

Master of Philosophy


Vacation research experience scheme


Faculty of Science

School of Information Systems

Topic status

We're looking for students to study this topic.


Dr Reihaneh Bidar
Associate Lecturer
Division / Faculty
Faculty of Science


The purpose of this research is to provide a methodology to detect and mitigate destructive patterns that are generated in crowdsourcing systems and result in a negative consequence through contributors’ interactions.

Vote manipulation is a form of co-destruction that can result from intentionally biasing a rating. In Wikipedia, co-destruction can happen for example as a result of blanking pages or inserting unrelated content to the page by a group of people.

Our ultimate goal is to provide guidance when setting up crowdsourcing systems that prevent co- destruction or detect it before it becomes problematic.

Research activities

As a VRES student you will assist the research team by extracting real-life data sets.

As a research student (Honours, Masters) you may develop algorithms that can provide a detection /mitigation mechanism for a particular co-destruction pattern in crowdsourcing systems such as Wikipedia and GitHub.


As a result of finishing this project, you will need to:

  • extract a relevant information from a crowdsourcing platform using API that would help detect co-destruction patterns
  • provide an algorithm for detection/mitigation of a particular co-destruction pattern occurring in crowdsourcing systems.


You may be eligible to apply for a research scholarship.

Explore our research scholarships



Contact the supervisor for more information.