Introducing Fireant

A Freeware, Multiplatform Social Media Data-Analysis Tool

    Research output: Contribution to journalArticle

    Abstract

    This paper introduces a new social media data-analysis tool called FireAnt that allows technical and professional communication researchers, instructors, and students to easily collect, analyze, and visualize social media communication. Problem: Currently, most social media analysis is carried out using custom computer scripts written in programming languages such as Python and R. Although these custom scripts can be very powerful, they create an enormous barrier to those without a strong computational background or the resources to hire a software engineer or data scientist. Key concepts: FireAnt is a freeware, stand-alone, multiplatform social media data-analysis tool designed for both novice and expert computer users. It can be used to collect, analyze, and subsequently visualize social media data as time-series plots, geopositional maps, and network graphs. It can also export results for further processing using traditional corpus tools, statistical packages, and custom scripts. Key lessons: This paper will show how FireAnt can be used to collect social media data related to specific companies, analyze those data, and visualize the data in a variety of ways. Implications for practice: FireAnt has applications in various technical and professional communication settings—for example, as part of a strategy to develop a social media presence and in the analysis of company-customer interactions and user perceptions of goods and services. It can also be used in the technical writing classroom as part of instructor- and student-centered instruction on the safe, appropriate, and effective use of language on social media platforms.

    Original languageEnglish
    JournalIEEE Transactions on Professional Communication
    DOIs
    Publication statusAccepted/In press - 2018 Jan 1

    Fingerprint

    Communication
    Technical writing
    Students
    Computer programming languages
    Time series
    Industry
    Engineers
    Processing
    Social media
    Professional communication
    Language
    Technical communication

    Keywords

    • Data analysis
    • Data visualization
    • data visualization
    • FireAnt
    • Python
    • social media
    • technical writing
    • Tools
    • Twitter

    ASJC Scopus subject areas

    • Industrial relations
    • Electrical and Electronic Engineering

    Cite this

    @article{ba5bd0e7a8c143d6b99796714228948e,
    title = "Introducing Fireant: A Freeware, Multiplatform Social Media Data-Analysis Tool",
    abstract = "This paper introduces a new social media data-analysis tool called FireAnt that allows technical and professional communication researchers, instructors, and students to easily collect, analyze, and visualize social media communication. Problem: Currently, most social media analysis is carried out using custom computer scripts written in programming languages such as Python and R. Although these custom scripts can be very powerful, they create an enormous barrier to those without a strong computational background or the resources to hire a software engineer or data scientist. Key concepts: FireAnt is a freeware, stand-alone, multiplatform social media data-analysis tool designed for both novice and expert computer users. It can be used to collect, analyze, and subsequently visualize social media data as time-series plots, geopositional maps, and network graphs. It can also export results for further processing using traditional corpus tools, statistical packages, and custom scripts. Key lessons: This paper will show how FireAnt can be used to collect social media data related to specific companies, analyze those data, and visualize the data in a variety of ways. Implications for practice: FireAnt has applications in various technical and professional communication settings—for example, as part of a strategy to develop a social media presence and in the analysis of company-customer interactions and user perceptions of goods and services. It can also be used in the technical writing classroom as part of instructor- and student-centered instruction on the safe, appropriate, and effective use of language on social media platforms.",
    keywords = "Data analysis, Data visualization, data visualization, FireAnt, Python, social media, technical writing, Tools, Twitter",
    author = "Laurence Anthony",
    year = "2018",
    month = "1",
    day = "1",
    doi = "10.1109/TPC.2018.2870681",
    language = "English",
    journal = "IEEE Transactions on Professional Communication",
    issn = "0099-9474",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",

    }

    TY - JOUR

    T1 - Introducing Fireant

    T2 - A Freeware, Multiplatform Social Media Data-Analysis Tool

    AU - Anthony, Laurence

    PY - 2018/1/1

    Y1 - 2018/1/1

    N2 - This paper introduces a new social media data-analysis tool called FireAnt that allows technical and professional communication researchers, instructors, and students to easily collect, analyze, and visualize social media communication. Problem: Currently, most social media analysis is carried out using custom computer scripts written in programming languages such as Python and R. Although these custom scripts can be very powerful, they create an enormous barrier to those without a strong computational background or the resources to hire a software engineer or data scientist. Key concepts: FireAnt is a freeware, stand-alone, multiplatform social media data-analysis tool designed for both novice and expert computer users. It can be used to collect, analyze, and subsequently visualize social media data as time-series plots, geopositional maps, and network graphs. It can also export results for further processing using traditional corpus tools, statistical packages, and custom scripts. Key lessons: This paper will show how FireAnt can be used to collect social media data related to specific companies, analyze those data, and visualize the data in a variety of ways. Implications for practice: FireAnt has applications in various technical and professional communication settings—for example, as part of a strategy to develop a social media presence and in the analysis of company-customer interactions and user perceptions of goods and services. It can also be used in the technical writing classroom as part of instructor- and student-centered instruction on the safe, appropriate, and effective use of language on social media platforms.

    AB - This paper introduces a new social media data-analysis tool called FireAnt that allows technical and professional communication researchers, instructors, and students to easily collect, analyze, and visualize social media communication. Problem: Currently, most social media analysis is carried out using custom computer scripts written in programming languages such as Python and R. Although these custom scripts can be very powerful, they create an enormous barrier to those without a strong computational background or the resources to hire a software engineer or data scientist. Key concepts: FireAnt is a freeware, stand-alone, multiplatform social media data-analysis tool designed for both novice and expert computer users. It can be used to collect, analyze, and subsequently visualize social media data as time-series plots, geopositional maps, and network graphs. It can also export results for further processing using traditional corpus tools, statistical packages, and custom scripts. Key lessons: This paper will show how FireAnt can be used to collect social media data related to specific companies, analyze those data, and visualize the data in a variety of ways. Implications for practice: FireAnt has applications in various technical and professional communication settings—for example, as part of a strategy to develop a social media presence and in the analysis of company-customer interactions and user perceptions of goods and services. It can also be used in the technical writing classroom as part of instructor- and student-centered instruction on the safe, appropriate, and effective use of language on social media platforms.

    KW - Data analysis

    KW - Data visualization

    KW - data visualization

    KW - FireAnt

    KW - Python

    KW - social media

    KW - technical writing

    KW - Tools

    KW - Twitter

    UR - http://www.scopus.com/inward/record.url?scp=85055040857&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85055040857&partnerID=8YFLogxK

    U2 - 10.1109/TPC.2018.2870681

    DO - 10.1109/TPC.2018.2870681

    M3 - Article

    JO - IEEE Transactions on Professional Communication

    JF - IEEE Transactions on Professional Communication

    SN - 0099-9474

    ER -