Webinar: When and how to use social media for data collection

When and how to use social media for data collection

Introduction

There continues to be an increasing interest in conducting research using social media data. Whilst social media data can illuminate consumer sentiment, the webinar reviews the conditions on which this data source can be relied on for making conclusions?

Objectives

  1. When to use social media content to either supplement or substitute survey data
  2. Techniques for determining sentiment using traditional research methods, and then contrasting the validity of newer machine learning-based tools (such as those developed for Twitter-like texts) against more traditional methods.

Learning Outcomes

At the conclusion of this webinar, you will be able to:

  1. Discern when to include social media data in your research studies
  2. Determine the context in which social media data can be used.
  3. Conduct sentiment analysis using both traditional research

Speaker:

Frederick Conrad – Professor, University of Michigan, USA

Frederick Conrad is a Research Professor in the Survey Research Centre at the University of Michigan and in the Joint Program in Survey Methodology (JPSM) at the University of Maryland. He is the director of the graduate programs at Michigan (MPSM) and Maryland (JPSM) His current research includes adaptive user interfaces in web surveys, interviewer-respondent interaction, and data collection with mobile, multimodal devices

Event information

Date: 12th May 20

Start Time:
NSW | ACT | VIC | TAS: 10:00am - 11:00am
QLD: 10:00am - 11:00am
SA: 09:30am - 10:30am
NT: 09:30am - 10:30am
WA: 08:00am - 09:00am

Arrival Time:
5 mins before start time - please make sure you have downloaded the program and be ready to start.

Location:
your device online

QPR Points: 10

Member Price: AU $ 88.00

Non-member Price: AU $ 120

Your Price: AU $ 120.00

Registration

  • Event date has passed
  • Registrations are closed

Registrations Open: 22nd Apr 19 12:00 AM

Registrations Close: 13th May 20 5:00 PM

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