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Comparison of Twitter APIs and tools for analysing Tweets related to the Ebola Virus Disease

Lookup NU author(s): Dr Wasim Ahmed

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

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.


Publication metadata

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

URL: https://conferencepapers.shef.ac.uk/index.php/iFutures/2015/paper/view/83


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