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Twitter as a tool for health research: A systematic review

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Cited by:

  1. 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.
  2. Miguel Angel Alvarez-Mon & Cesar I. Fernandez-Lazaro & Maria Llavero-Valero & Melchor Alvarez-Mon & Samia Mora & Miguel A. Martínez-González & Maira Bes-Rastrollo, 2022. "Mediterranean Diet Social Network Impact along 11 Years in the Major US Media Outlets: Thematic and Quantitative Analysis Using Twitter," IJERPH, MDPI, vol. 19(2), pages 1-16, January.
  3. 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.
  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. Marcus Vinicius Santos & Fernando Morgado-Dias & Thiago C. Silva, 2023. "Oil Sector and Sentiment Analysis—A Review," Energies, MDPI, vol. 16(12), pages 1-29, June.
  6. 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.
  7. De Rosis, Sabina & Lopreite, Milena & Puliga, Michelangelo & Vainieri, Milena, 2021. "The early weeks of the Italian Covid-19 outbreak: sentiment insights from a Twitter analysis," Health Policy, Elsevier, vol. 125(8), pages 987-994.
  8. 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.
  9. 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.
  10. 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.
  11. Hajar Sotudeh & Zeinab Saber & Farzin Ghanbari Aloni & Mahdieh Mirzabeigi & Farshad Khunjush, 2022. "A longitudinal study of the evolution of opinions about open access and its main features: a twitter sentiment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5587-5611, October.
  12. Theo Lynn & Pierangelo Rosati & Guto Leoni Santos & Patricia Takako Endo, 2020. "Sorting the Healthy Diet Signal from the Social Media Expert Noise: Preliminary Evidence from the Healthy Diet Discourse on Twitter," IJERPH, MDPI, vol. 17(22), pages 1-28, November.
  13. 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.
  14. 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.
  15. Charalampos Ntompras & George Drosatos & Eleni Kaldoudi, 2022. "A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic," Journal of Computational Social Science, Springer, vol. 5(1), pages 687-729, May.
  16. Vanash M. Patel & Robin Haunschild & Lutz Bornmann & George Garas, 2021. "A call for governments to pause Twitter censorship: using Twitter data as social-spatial sensors of COVID-19/SARS-CoV-2 research diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3193-3207, April.
  17. Sara Moukarzel & Anita Caduff & Martin Rehm & Miguel del Fresno & Rafael Pérez-Escamilla & Alan J. Daly, 2021. "Breastfeeding Communication Strategies, Challenges and Opportunities in the Twitter-Verse: Perspectives of Influencers and Social Network Analysis," IJERPH, MDPI, vol. 18(12), pages 1-13, June.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. Cisternino, Irissa & Jones, Jason J., 2020. "Do LGBTQ-related Events Drive Individual Online Disclosure Decisions?," SocArXiv 8yjcm, Center for Open Science.
  24. 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.
  25. Lopreite, Milena & Puliga, Michelangelo & Riccaboni, Massimo & De Rosis, Sabina, 2021. "A social network analysis of the organizations focusing on tuberculosis, malaria and pneumonia," Social Science & Medicine, Elsevier, vol. 278(C).
  26. 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.
  27. Antonio Arcos & Maria del Mar Rueda & Sara Pasadas-del-Amo, 2020. "Treating Nonresponse in Probability-Based Online Panels through Calibration: Empirical Evidence from a Survey of Political Decision-Making Procedures," Mathematics, MDPI, vol. 8(3), pages 1-16, March.
  28. 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.
  29. 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).
  30. Malik, Aqdas & Berggren, Walter & Al-Busaidi, Adil S., 2022. "Instagram as a research tool for examining tobacco-related content: A methodological review," Technology in Society, Elsevier, vol. 70(C).
  31. 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.
  32. 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).
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