Benchmarking micro-blog performance: Twitter content classification framework

Stephen Dann*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    15 Citations (Scopus)

    Abstract

    This chapter outlines a content classification framework designed to categorize content from individual and group Twitter activity. Measurement of Twitter at the individual account level can support the analysis of individual use of Twitter, and, guide the use of the platform for commercial operations. Applying a pre-existing content classification framework allows for the consistent coding of Twitter timelines into one of the five categories, with an option to further refine into a series of sub-categories. This coding approach allows for the ongoing longitudinal measurement, benchmark and analysis of how individuals or groups use their social media accounts. This chapter also outlines the potential use of the classification framework as a planning tool for guiding content creation. This approach creates a two-stage process of planned content engagement and consistent content measurement metrics from a single framework.

    Original languageEnglish
    Title of host publicationMaximizing Commerce and Marketing Strategies through Micro-Blogging
    PublisherIGI Global
    Pages313-332
    Number of pages20
    ISBN (Electronic)9781466684096
    ISBN (Print)1466684089, 9781466684089
    DOIs
    Publication statusPublished - 31 May 2015

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