Training and Events
Gathering and analysing social media data from Twitter and YouTube (bookings closed)
|The University of Manchester|
Prof Mike Thewall
Cathie Marsh Institute
View in Google Maps (M13 9PL)
Claire Spencer, 0161 275 4579, email@example.com
Due to very high demand this is a repeat of the same course that was held in Manchester on 11th January 2017.
This course introduces free Windows-based software for collecting tweets and for downloading the sets of comments on YouTube videos. It also describes a range of keyword, network and graphical methods to analyse the data for social science research purposes, as supported by the software. This is a small scale style of big data research. The course includes a brief discussion of ethical and practical issues associated with social media data analysis. The practical sessions give an introduction to the free program, with supporting documentation for those wishing to become advanced users.
Introduce methods to gather and analyse social media data, with a focus on Twitter and YouTube comments.
Learn how to use the free Windows-based social media data analysis and gathering software Webometric Analyst.
Participants should have at least basic knowledge of social media sites, including both Twitter and YouTube, and basic familiarity with Windows.
The course is designed for social science and humanities researchers that would like to learn new methods to gather and analyse social media data, or that need to create corpora of social media data to research.
Wilkinson, D. & Thelwall, M. (2012). Trending Twitter topics in English: An international comparison. Journal of the American Society for Information Science and Technology, 63(8), 1631-1646.
Thelwall, M., Sud, P., & Vis, F. (2012). Commenting on YouTube videos: From Guatemalan rock to El Big Bang. Journal of the American Society for Information Science and Technology, 63(3), 616–629.
9.45 – 10:00 Registration
10:00– 11:00 Lecture 1
11:00 – 11:30 Coffee/tea
11:30 – 13:15 Practical 1
13:15 – 14:15 Lunch
14:15 – 15:15 Lecture 2
15:15 – 15:45 Coffee/tea
15:45 – 17:30 Practical 2
Intermediate (some prior knowledge)
Digital Social Research, Analysis of social media, Big data analytics, Online Data Collection , Big data, Social media data, Social Network Analysis
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