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Social Media Analysis

29th March 2019 @ 9:00 am - 5:30 pm


This course describes how to use free Windows software Mozdeh to gather tweets and to download comments on YouTube videos. The course will also describe simple methods to gain insights into the meaning of the downloaded texts and to identify patterns within the data.

You will learn to use the free Mozdeh Windows software to:

Gather tweets from a set of named users or tweets matching one or more keyword queries.
Gather comments on one or more YouTube videos.
Analyse the texts with simple big data methods: word association mining, gender, sentiment and time difference detection and association mining, time series graphs and networks of user interactions.
Analyse the texts with content analysis.


Participants should have a basic familiarity with YouTube and Twitter, and be prepared to learn to use new software. Familiarity with Microsoft Windows is important too.
Recommended reading

Thelwall, M. (2018). Social media analytics for YouTube comments: Potential and limitations. International Journal of Social Research Methodology, 21(3), 303-316.
Thelwall, M. & Mas-Bleda, A. (2018). YouTube science channel video presenters and comments: Female friendly or vestiges of sexism? Aslib Journal of Information Management, 70(1), 28-46.
Thelwall, M. & Cugelman, B. (2017). Monitoring Twitter strategies to discover resonating topics: the case of the UNDP. El Profesional de la InformaciĆ³n, 26(4), 649-661.

About the instructor

Mike Thelwall is a professor of Data Science and head of the Statistical Cybermetrics Research Group at the University of Wolverhampton. He researching big data, webometrics, social media metrics, and sentiment analysis; developing quantitative web methods for Twitter, social networks, YouTube, and various types of link and impact metrics; conducting impact assessments for organisations, such as the UNDP.

View Mike Thelwall’s profile page

Details of how to book will be released shortly.


29th March 2019
9:00 am - 5:30 pm
Event Category:


Durham University, Engineering Building END EX1


0191 3341987
NINE DTP - a collaborative partnership funded by the ESRC