IDEAS home Printed from https://ideas.repec.org/a/mth/ijch88/v11y2024i2p82.html
   My bibliography  Save this article

Reactions on 5G Phone, Cable, and Broadband Internet Preceding X

Author

Listed:
  • Nathan M. Moore

Abstract

Finalizing a report on the findings of my Twitter research study effectively documented how recipients of a poll survey reacted to questions about 5G. Reactions in the form of emoji likes and comments are only a minutia of social media’s reach. The research question I used was- in what ways has 5G service affected your perception of cell phone carriers, cable, and internet providers since its inception? To answer that question accurate data had to be found utilizing a methodology known as sentiment analysis. As in any good academic research proposal, technical communication research methods must evolve to incorporate both machine learning and organic approaches. I hypothesized that by conducting manual Twitter polls to elicit responses it would provide enough organic information to rival the most robust AI-based sentiment analysis on how 5G was being branded in the marketplace for social media users. To fulfill my goal, I wanted to find out several important changes that had occurred since 2017; cell phone manufacturers’ production; cell phone buyers’ habits toward the same products; and the behaviors of customers who bought 5G concerning the older 4Glte band of phones or internet. Triangulation of Twitter data and sampling a general community, including using mixed research methods, would give enough empirical data. Between the strong opinions and lesser ones, seeing where there was parity in the research results codified a ubiquitous classification system needing modification.

Suggested Citation

  • Nathan M. Moore, 2024. "Reactions on 5G Phone, Cable, and Broadband Internet Preceding X," International Journal of Culture and History, Macrothink Institute, vol. 11(2), pages 1-82, December.
  • Handle: RePEc:mth:ijch88:v:11:y:2024:i:2:p:82
    as

    Download full text from publisher

    File URL: https://www.macrothink.org/journal/index.php/ijch/article/download/22223/17070
    Download Restriction: no

    File URL: https://www.macrothink.org/journal/index.php/ijch/article/view/22223
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sinnenberg, L. & Buttenheim, A.M. & Padrez, K. & Mancheno, C. & Ungar, L. & Merchant, R.M., 2017. "Twitter as a tool for health research: A systematic review," American Journal of Public Health, American Public Health Association, vol. 107(1), pages 1-8.
    2. repec:aph:ajpbhl:10.2105/ajph.2016.303512_4 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luis-Millán González & José Devís-Devís & Maite Pellicer-Chenoll & Miquel Pans & Alberto Pardo-Ibañez & Xavier García-Massó & Fernanda Peset & Fernanda Garzón-Farinós & Víctor Pérez-Samaniego, 2021. "The Impact of COVID-19 on Sport in Twitter: A Quantitative and Qualitative Content Analysis," IJERPH, MDPI, vol. 18(9), pages 1-20, April.
    2. Muhammad Imran & Umair Qazi & Ferda Ofli, 2022. "TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels," Data, MDPI, vol. 7(1), pages 1-27, January.
    3. Isaac Chun-Hai Fung & Jingjing Yin & Keisha D. Pressley & Carmen H. Duke & Chen Mo & Hai Liang & King-Wa Fu & Zion Tsz Ho Tse & Su-I Hou, 2019. "Pedagogical Demonstration of Twitter Data Analysis: A Case Study of World AIDS Day, 2014," Data, MDPI, vol. 4(2), pages 1-12, June.
    4. Nason Maani Hessari & May CI van Schalkwyk & Sian Thomas & Mark Petticrew, 2019. "Alcohol Industry CSR Organisations: What Can Their Twitter Activity Tell Us about Their Independence and Their Priorities? A Comparative Analysis," IJERPH, MDPI, vol. 16(5), pages 1-12, March.
    5. Sonja I. Garske & Suzanne Elayan & Martin Sykora & Tamar Edry & Linus B. Grabenhenrich & Sandro Galea & Sarah R. Lowe & Oliver Gruebner, 2021. "Space-Time Dependence of Emotions on Twitter after a Natural Disaster," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    6. Santoveña-Casal, Sonia & Pérez, Ma Dolores Fernández, 2022. "Relevance of E-Participation in the state health campaign in Spain: #EstoNoEsUnJuego / #ThisIsNotAGame," Technology in Society, Elsevier, vol. 68(C).
    7. Diane Ezeh Aruah & Yvonne Henshaw & Kim Walsh-Childers, 2023. "Tweets That Matter: Exploring the Solutions to Maternal Mortality in the United States Discussed by Advocacy Organizations on Twitter," IJERPH, MDPI, vol. 20(9), pages 1-14, April.
    8. Paramveer S. Dhillon & Sinan Aral, 2021. "Modeling Dynamic User Interests: A Neural Matrix Factorization Approach," Marketing Science, INFORMS, vol. 40(6), pages 1059-1080, November.
    9. Meng Hsiu Tsai & Yingfeng Wang, 2021. "Analyzing Twitter Data to Evaluate People’s Attitudes towards Public Health Policies and Events in the Era of COVID-19," IJERPH, MDPI, vol. 18(12), pages 1-14, June.
    10. Gabrielle Turner-McGrievy & Amir Karami & Courtney Monroe & Heather M. Brandt, 2020. "Dietary pattern recognition on Twitter: a case example of before, during, and after four natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1035-1049, August.
    11. Huarng, Kun-Huang & Lee, Cheng-Fang & Yu, Tiffany Hui-Kuang, 2023. "Case study of a healthcare virtual community model," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    12. Jairo León-Quismondo, 2023. "Social Sensing and Individual Brands in Sports: Lessons Learned from English-Language Reactions on Twitter to Pau Gasol’s Retirement Announcement," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    13. Ruth G. Abebe & Schwab Bakombo & Anne T. M. Konkle, 2023. "Understanding the Response of Canadians to the COVID-19 Pandemic Using the Kübler-Ross Model: Twitter Data Analysis," IJERPH, MDPI, vol. 20(4), pages 1-13, February.
    14. Aji Deni, 2021. "Twitter and Muhammadiyah Response in Overcoming Covid-19 Outbreak in Indonesia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(09), pages 639-653, September.
    15. Sebastian Hermes & Tobias Riasanow & Eric K. Clemons & Markus Böhm & Helmut Krcmar, 2020. "The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1033-1069, November.
    16. Amir Haghighati & Kamran Sedig, 2020. "VARTTA: A Visual Analytics System for Making Sense of Real-Time Twitter Data," Data, MDPI, vol. 5(1), pages 1-25, February.
    17. Anni Arumsari Fitriany & Piotr J. Flatau & Khoirunurrofik Khoirunurrofik & Nelly Florida Riama, 2021. "Assessment on the Use of Meteorological and Social Media Information for Forest Fire Detection and Prediction in Riau, Indonesia," Sustainability, MDPI, vol. 13(20), pages 1-13, October.
    18. Guangyu Hu & Xueyan Han & Huixuan Zhou & Yuanli Liu, 2019. "Public Perception on Healthcare Services: Evidence from Social Media Platforms in China," IJERPH, MDPI, vol. 16(7), pages 1-10, April.
    19. Umar Ali Bukar & Fatimah Sidi & Marzanah A. Jabar & Rozi Nor Haizan Nor & Salfarina Abdullah & Iskandar Ishak & Mustafa Alabadla & Ali Alkhalifah, 2022. "How Advanced Technological Approaches Are Reshaping Sustainable Social Media Crisis Management and Communication: A Systematic Review," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
    20. Lutz Bornmann & Robin Haunschild & Vanash M Patel, 2020. "Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mth:ijch88:v:11:y:2024:i:2:p:82. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Technical Support Office (email available below). General contact details of provider: http://ijch.macrothink.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.