A coding system for dynamic topic analysis: a computer-mediated discourse analysis technique

Ishizaki, Hiromi; Herring, Susan C.; Takishima, Yasuhiro

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https://hdl.handle.net/2142/89360 Copy

Description

Title

A coding system for dynamic topic analysis: a computer-mediated discourse analysis technique

Author(s)

Ishizaki, Hiromi; Herring, Susan C.; Takishima, Yasuhiro

Issue Date

2016-03-15

Keyword(s)

• Computer-mediated discourse analysis
• dynamic topic analysis
• android application

Abstract

We introduce an efficient coding system for dynamic topic analysis (DTA), a computer-mediated discourse analysis technique that codes and visualizes topical development over time in online discussions. Our system provides three main functionalities: intuitive coding with a touch screen interface, automated inter-rater agreement computation, and visualization of the coding results. Using the system, we conducted a preliminary DTA of 28,131 user comments from the popular music distribution sites SoundCloud and Last.fm. The analysis shows that most SoundCloud and Last.FM comments are narrowly on-topic and prompt-focused, as compared to discussions in other social media that exhibit more topical elaboration.

Publisher

iSchools

Series/Report Name or Number

IConference 2016 Proceedings

Type of Resource

text

Language

eng

Permalink

http://hdl.handle.net/2142/89360

DOI

https://doi.org/10.9776/16452

Copyright and License Information

Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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