£74.99 – £595

Social Media & Digital Humanities: Methods/Approaches For Social Scientists

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Central London

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Description

This event will introduce a mix of methodologies and provide an overview of free-to-use and commercial software for the analysis of social media data. It will be led by an expert in the area, Dr Wasim Ahmed who has taught Undergraduate, Masters, and PhD level courses on social media data analytics.

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The training event will cover both quantitative and qualitative social media analysis techniques.

This topic has grown in importance with the increasing popularity of social networking websites in particular (e.g. Twitter, YouTube, Facebook, LinkedIn, and Instagram etc.) and social computing in general. As people increasingly participate in online communities for social, commercial, and civic interaction, new methods are needed to study these phenomena.

The event will different research methods that have been utilised by academic researchers, such as machine learning, sentiment analysis, social network network analysis, content analysis, and thematic analysis which can be utilised to be applied to the domains of commercial data analytics as well as academic research. The event will also touch on the diverse potentials of social data for organisations from forecasting, detecting crisis events, and as an early warning system for organisational threats.

This talk provides an overview of a number of emerging social listening and digital engagement tools such as Visibrain, Audiense, Echosec, Social Elephants, NodeXL, among others. It will provide an overview of a number of tools that are freely available to academic researchers such as Mozdeh, Chorus, TAGS, COSMOS, Gephi, and Netlytic among others.

We will also provide insight into the emerging area of image analytics.

The event will also touch on mining social media data with Python and R as well as strengths and limitations for social scientists

Delegates will be emailed a certificate of attendance and the skills that have been gained. LinkedIn recommendations are also available.

The workshop will be held in central London and the venue will be confirmed at least 4 weeks before the event. Online participation via Skype at a discounted rate is also possible.

Learning Outcomes:

Upon completion of this course, participants will:

· Understand basics of social media research and the many methodologies to analyse social network data

· Understand the key readings and authors in the area and gain knolwedge of key methodologies to analyse social media research.

· Be able to transform communication data (e.g. Facebook, YouTube, Twitter etc.) into network data.

· Be familiar with the use of standard tools and software for the analysis of social media data

· Be able to devise and conduct social media research for industry and/or academia.

Who will benefit from this course?

This event will benefit a wide range of people including, but not exhaustive to:

  • Academics/ Researchers,
  • Masters and PhD students,
  • Research Support Staff and Managers,
  • Library and Information Professionals,
  • Communications and Marketing Professionals,
  • Finance/Banking Professionals,
  • Entrepreneurs


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Central London

London

United Kingdom

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