Online data sources: Linking old and new, big and small

Presenter(s): Susan Banducci and Iulia Cioroianu

This online resource provides an example of data linkage across three types of online resources: survey responses, clickstream data (individual web browsing histories) and Twitter data, as well as an application to the case of online information exposure in the 2016 Brexit campaign.

Online data sources - Linking survey, clickstream and Twitter data

An example of data linkage across three types of online resources: survey responses, clickstream data (individual web browsing histories) and Twitter data, as well as an application to the case of online information exposure in the 2016 Brexit campaign.

Supporting materials

About the author

Prof. Susan Banducci is the director of the Exeter Q-Step Centre, a ?19.5m million investment from Nuffield, ESRC and Hefce aimed at advancing quantitative methods in the social sciences. Susan's research interests are in the areas of comparative political behaviour, media and political communication. She is also a member of the Centre for Elections, Media and Participation.



Dr. Iulia Cioroianu is a research fellow in the Q-Step Centre at the University of Exeter, working on the NCRM Methodological Innovation project ?ExpoNET: Measuring Information Exposure in Dynamic and Dependent Networks?, and delivering labs and workshops in programming, statistics, and social media data analysis. She studies electoral competition, social media and political participation, using a variety of quantitative methods such as natural language processing and quantitative text analysis, machine learning algorithms, survey experiments and agent-based modelling.

Primary author profile page

• Published on: 20 December 2017
• Event hosted by: University of Exeter
• Keywords: social media | Brexit | twitter data | clickstream data | media and political communication | web browsing histories | susan banducci | iulia cioroianu |
• To cite this resource:

  Susan Banducci and Iulia Cioroianu. (2017). Online data sources: Linking old and new, big and small. National Centre for Research Methods online learning resource. Available at https://www.ncrm.ac.uk/resources/online/all/?id=20711 [accessed: 22 November 2024]