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Gathering and analysing social media data from Twitter and YouTube

Date - Wednesday, 14th June 2017 (All Day)

Course Code MAN-07-16/17-P-R
Organised by The University of Manchester
Presenter Prof Mike Thewall
Date 14/06/2017
Venue Cathie Marsh Institute
Humanities Bridgeford street
University of Manchester
Map View in Google Maps  (M13 9PL)
Contact Claire Spencer, 0161 275 4579, claire.spencer@manchester.ac.uk
Description 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.

Recommended Reading

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

Level Intermediate (some prior knowledge)
Cost Fees
For UK registered postgraduate students £30 per day
For staff at UK academic institutions, ESRC funded researchers and registered charity organisations £60 per a day
For all other participants
Region North West
Keywords Digital Social Research, Analysis of social media, Big data analytics, Online Data Collection , Big data, Social media data, Social Network Analysis
Related publications and presentations Digital Social Research
Analysis of social media
Big data analytics
Online Data Collection
Big data
Social media data
Social Network Analysis