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Mani Levian Asli edited this page Nov 19, 2019 · 27 revisions

U/C

1. Facepager

Windows- and MacOS-based application (no binary release for Linux), which collects public available data from JSON-based APIs.

Facepager does not require any programming skills and offers good support through a comprehensive Wiki and Facebook group. It is an open-source tool that can easily be installed on a local computer. However, the tool is not very intuitive and an in-depth understanding of the APIs and end points is indispensable. The tool is therefore only recommended for researchers with strong knowledge of Youtube's API structure.

2. vosonSML

VosonSML is an R package that provides a suite of tools for collecting and analyzing public Twitter, YouTube and Reddit data.

The big plus of vosonSML is that it is allows automated/scheduled collection of public posts and that it provides easy-to-use functions as well as a Shiny Dashboard to generate different types of networks and text analyses of the collected data. However, because vosonSML is embedded in R, the automated/scheduled collection of data takes up hardware (i.e. a running R session) and knowledge of the R programming language. In addition, an authenticated app is required to collect data. Hence, vosonSML is only recommended for researchers with basic R knowledge and short-term automated/scheduled collection of data.

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