Critically engaging with social media research tools

critically-engaging-with-social-media-research-tools powerpoint slides for the presentation at
#NSMNSS / SRA event: An introduction to tools for social media research


TAGS – available here – by Martin Hawksey. Contains useful instructions and videos to help setting it up.

I have also created a step by step set-up guide for TAGS V6 –!ApdJKDPeE0fSmgo6z6yDln43Kb7X

The only concern is that Twitter now requires you to not only have a Twitter account but also have installed their app on your phone and provide them with your phone number and verify it. So it’s “Free”!

Just provide us with your entire identity and all the data that goes with it.

YOURTWAPPERKEEPER – available here –

It has been seriously undermined by changes to Twitters rules and regulations and its creator John O’Brien III seems to have sold it to Hootsuite and left it at that. It may now be in contravention of Twitter’s Terms of Services.

DMI-TCAT available here –

The Digital Methods Initiative Twitter Capture and Analysis Toolset (DMI-TCAT) allows the  retrieval and collection of  tweets from Twitter and to analyze them in various ways.

Please check for further information and installation instructions.

This software is highly recommended – it also has a version that can access Youtube –

GEPHIavailable here –

It can now be used to collect Twitter data – and operates on Windows and Apple operating systems – just be very careful with java updates and incompatible versions of iOS.

TROPES – available here –

Designed for Information Science, Market Research, Sociological Analysis and Scientific studies, Tropes is a Natural Language Processing and Semantic Classification software that guarantees pertinence and quality in Text Analysis.

LEXIMANCER – available here

Leximancer is computer software that conducts quantitative content analysis using a machine learning technique. It learns what the main concepts are in a text and how they relate to each other. It conducts a thematic analysis and a relational (or semantic) analysis of the textual data.


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