Lookup NU author(s): Dr Wasim Ahmed
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
In order to obtain data via Twitter, researchers may use a variety of software or they may ask for a custom tool to be created by software developers. However, different software may use different Application Programming Interfaces that may provide varying levels of Twitter data. In this study we compare data on Tweets about the Ebola virus obtained via the Firehose, and Search APIs respectively over a 3-day period in January 2015. We found that searchers with the keyword ‘Ebola’ were gathering up to 79% of all tweets using Mozdeh, and 74% of all tweets via Chorus which both use the Search API. The complete set of tweets was 195,713 Tweets (100%) obtained via Texifter and subsequently stored in DiscoverText.
Author(s): Ahmed W, Bath PA
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Sheffield iSchool Conferences
Year of Conference: 2015
Online publication date: 07/07/2015
Acceptance date: 01/06/2015