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Activity Number: 390 - Accessing Resources from the Web in Data Analysis
Type: Invited
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract #326654 Presentation
Title: What You Can, Can't, and Shouldn't Do with Social Media Data
Author(s): Rachael Tatman*
Companies: --
Keywords: social media; statistical computing; data collection

Accessing social media via a public API (application public interface) allows researchers to quickly gather large amounts of data. This allows much larger scale data collection than was previously practical, especially for language and social network structure data. However, data collection from social media comes with a unique set of challenges and considerations. This talk will use the Twitter API as an example and showcase some of the strengths and weaknesses of Twitter as a data collection platform. It will also discuss the rights and responsibilities of researchers towards the social media data they collect, with a focus on ethical considerations.

Authors who are presenting talks have a * after their name.

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