Using Social Media for Audience Intelligence & Evaluation

Date:

14/09/2017

Organised by:

Methods For Change

Presenter:

Dr. Eric Jensen, Benjamin K. Smith & Aaron Michael Jensen

Level:

Entry (no or almost no prior knowledge)

Contact:

Fidany events@methodsforchange.org

Map:

View in Google Maps  (SW7 5HD)

Venue:

Dana Research Centre and Library, 165 Queen's Gate, Kensington, London SW7 5HD, United Kingdom

Description:

Social media offer a publicly available (often free) source of information you can use for insights about audience experiences. The potential of social media data for audience intelligence is widely recognized. But the methods of developing useful insights are often hidden from view. So how can you and your organisation take advantage of this resource hiding in plain sight? Attend this workshop to get up to speed about the practical steps to gaining useful (and accurate) results from social media.

This workshop presents innovative methods, tools and practical guidance to help you use this data in audience evaluation. In this practical workshop, you can expect the following:

  1. An introduction to important ‘health warnings’ (limits) about using social media data for evaluation and feedback.
  2. Methods and tools for gathering and analysing social media data.
  3. Discussion about Twitter, Google Reviews, TripAdvisor as sources of data for evaluating outcomes and quality of experience.

Cost:

DISCOUNT IF YOU BOOK BY Friday 11 August 2017

Standard, including businesses £120
Standard, including businesses (Early Bird 10% discount) £108
University Staff £96
University Staff (Early Bird 10% discount) £86
Charities & unaffiliated individuals £78
Charities & unaffiliated individuals (Early Bird 10% discount) £70
Concessionary (student & unemployed) £48

Website and registration:

Region:

Greater London

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Social Networks

Related publications and presentations:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis

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