These short workshops are intended to give quick introductions to major aspects of video-based and internet research methods and to give participants the opportunity to talk with experienced practitioners about their own specific challenges.

The workshops are open to all members of the university community, but require a minimum of 5 people to participate.

To book one of the workshops email thomas.hillman[at]

Video-based research
Internet research
1. Basics of video based observation
  • Camera & microphone placement
  • In-camera analytic decisions
  • Anonymity & informed consent related issues
1. Basic coding-free web and social media data collection
  • Finding data by content, person & place
  • Assembling datasets
  • Ethical concerns
2. Post-processing & storage of video data
  • File formats & compression standards
  • Appropriate technical choices for different research purposes
  • Storage media & ethical requirements
2. Scraping data from websites and forums
  • Understanding data structures
  • Creating scraping tools
  • Cleaning and organising datasets
3. Basic coding, transcription & subtitles
  • Working with Inqscribe for transcription and basic analysis
  • Choosing an effective level of transcription detail
  • Creating subtitles
3. API data collection
  • Very basic introduction to Python programming
  • Accessing social media databases through OAuth tokens & API hooks
  • Formulating API calls to get the data you want
  • Cleaning & organising datasets
4. More advanced qualitative analysis
  • Using CAQDAS tools to work across a corpus of data
  • Starting analysis without transcribing everything first
  • Identifying important episodes for further analysis
  • Detailed multimodal analysis techniques
4. Computational content analysis
  • Describing datasets
  • Identifying trends
  • Selecting instances for qualitative analysis
5. Preparing video data for presentations and articles
  • Dealing with ethical issues associated with displaying video data
  • Choosing & preparing sequences for conference presentations
  • Screenshots, drawings and creating figures for articles
6. Introduction to social network analysis
  • Basic graph theory
  • Preparing data for SNA
  • Generating graphs in Gephi
  • Understanding & calculating centralities

5. Trace-ethnography analysis
  • Following digital traces as a primary method of observation
  • Documentary & interactional approaches
  • Analysis & interpretation strategies
  • Trace-interviewing