Lead Supervisor: Mark Elliot, University of Manchester
Contact Email: email@example.com
Partners: University of Manchester
External Partners: YouGov
Start Date: October 2017
The project would aim to use the linked Twitter accounts within the YouGov panel to build prediction models of tweet content. Understanding why people tweet certain content is a complex issue. Key research questions are:
Are tweets predicted attitudinal data, demographics, education and so on?
- Do changes in any of this structured data produce changes in tweet content?
- Is it possible to produce segments of the population which are correlated with particular types of sentiment.
- Similarly is segment membership predicted by tweet content.
This project will aim to address a selection of these questions, possible honed down to focus on a particular type of tweet sentiment, or a particular topic domain.
Reference number MN03
Deadline for applications – 30th April 2017