TY - JOUR
T1 - Introducing fireant
T2 - A freeware, multiplatform social media data-analysis tool
AU - Anthony, Laurence
N1 - Funding Information:
Manuscript received December 23, 2017; revised May 1, 2018; accepted June 17, 2018. Date of publication October 11, 2018; date of current version November 26, 2018. The development of FireAnt was supported by the ESRC Centre for Corpus Approaches to Social Science under Grant ES/K002155/1 and ES/L008874/1. The author is with the Faculty of Science and Engineering, Waseda University, Tokyo 169-8555, Japan (email: anthony@ waseda.jp).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12
Y1 - 2018/12
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- A nd 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- A nd student-centered instruction on the safe, appropriate, and effective use of language on social media platforms.
KW - Data analysis
KW - FireAnt
KW - data visualization
KW - social media
KW - technical writing
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U2 - 10.1109/TPC.2018.2870681
DO - 10.1109/TPC.2018.2870681
M3 - Article
AN - SCOPUS:85055040857
SN - 0361-1434
VL - 61
SP - 428
EP - 442
JO - IEEE Transactions on Professional Communication
JF - IEEE Transactions on Professional Communication
IS - 4
M1 - 8490230
ER -