We're delighted to announce our next round of free NSMNSS network activities.
If you would like to attend the seminar please email: email@example.com confirming your contact details (email and phone number). We would hope attendees are able to share personal experiences using quantitative methods in social media. Although the Seminar is free, space is limited; if you do not attend after reserving a place we will make an administrative charge to cover the costs of catering and administration. Please only reserve a space if you intend to attend.
Tell us about your experiences by providing a descriptive case study– a short 2-3 minute description of your experience using quantitative methods in social media research. Please identify which of the suggested themes in the programme you think your example would fit under and we will ask you to share this during the relevant session.
If you would like to contribute to the event on 26th September please reply to
firstname.lastname@example.org by 19th September giving details of what you would like to contribute.A video of the introductions to each theme will be available shortly afterwards, if you are unable to join us please share your thoughts and insights with tweets and comments on our Methodspace forum. You can join in network activities there at any time: http://www.natcen.ac.uk/nsmnss/
We will also be hosting a virtual Blackboard session for international participants later in September. More details to follow.
12.30pm Arrival and lunch – networking
1.00pm - Session 1 Visualisation:Social media data can often be analysed using visual methods. How can we visualise data collected by social media? How does visualisation relate to statistical analysis? What are the payoffs from using visualisations?
1.50pm - Session 2Populations and Sampling: What is the “population” on social media platforms? How do platforms differ in population characteristics? How can we select cases or sample on social media?
3.00pm - Session 3 Big Data:Social media research can involve very large datasets. What do we gain and lose with big data? How is big data changing the way we do research?
3.50pm Session 4 Drawing together key messages for quantitative research:Exploring existing frameworks, identifying gaps and additions.