Big Data, Social Media Research Methods And Analytics For Social Science Research

Description:

The course will involve four sessions:

1. Introductory material will explain the growing significance of big data related to the capture of (real-time) social media data; importance of research methods; sampling; differences between APIs and platforms; data reliability, ethical challenges of data capture and use; the representativeness of data; reproducibility and data sharing practices (covering platform’s terms of service); wider policy debates.
2. The current status and key developments in the social media research landscape will be reviewed, both internationally and within the UK (ESRC investments) to discuss the emergence of specific methods, approaches and techniques. This will offer an opportunity for wider discussion.
3. The course will include an overview of current tools on offer, both free off the shelf and commercial ones for different aspects of social media analytics (covering both quantitative and qualitative perspectives). This will offer participants a more hands-on session, to explore potential relevance and interest for individual research projects.
4. The course will use a series of practical case studies that will be used to illustrate and discuss methodological approaches and challenges. Participants will be given access to a number of training datasets during the course that will further aid with highlighting and informing discussion of challenges.

Cost:

Free to Social Sciences PhD students

Website and registration:

http://www.wrdtc.ac.uk/events/big-data2-social-media-research-methods-and-analytics-for-social-science-research/

Region:

Yorkshire and Humberside

Keywords:

Data Collection, Data Quality and Data Management

Related publications and presentations:

Data Collection
Data Quality and Data Management

Back to archive...