Public Perceptions around mHealth Applications during COVID-19 Pandemic: A Network and Sentiment Analysis of Tweets in Saudi Arabia
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Meshari F. Alwashmi, 2020. "The Use of Digital Health in the Detection and Management of COVID-19," IJERPH, MDPI, vol. 17(8), pages 1-7, April.
- Cynthia Chew & Gunther Eysenbach, 2010. "Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-13, November.
- Elena Milani & Emma Weitkamp & Peter Webb, 2020. "The Visual Vaccine Debate on Twitter: A Social Network Analysis," Media and Communication, Cogitatio Press, vol. 8(2), pages 364-375.
- Viju Raghupathi & Jie Ren & Wullianallur Raghupathi, 2020. "Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets," IJERPH, MDPI, vol. 17(10), pages 1-23, May.
- Melissa MacKay & Taylor Colangeli & Daniel Gillis & Jennifer McWhirter & Andrew Papadopoulos, 2021. "Examining Social Media Crisis Communication during Early COVID-19 from Public Health and News Media for Quality, Content, and Corresponding Public Sentiment," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Munshi Muhammad Abdul Kader Jilani & Md. Moniruzzaman & Mouri Dey & Edris Alam & Md. Aftab Uddin, 2022. "Strengthening the Trialability for the Intention to Use of mHealth Apps Amidst Pandemic: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(5), pages 1-16, February.
- Abdennour Boulesnane & Souham Meshoul & Khaoula Aouissi, 2022. "Influenza-like Illness Detection from Arabic Facebook Posts Based on Sentiment Analysis and 1D Convolutional Neural Network," Mathematics, MDPI, vol. 10(21), pages 1-22, November.
- Chi-Jui Tsai & Wen-Jye Shyr, 2022. "Key Factors for Evaluating Visual Perception Responses to Social Media Video Communication," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
- Mashael Alghareeb & Abdulmohsen Saud Albesher & Amna Asif, 2023. "Studying Users’ Perceptions of COVID-19 Mobile Applications in Saudi Arabia," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
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.- Katharina Baum & Annika Baumann & Katharina Batzel, 2024. "Investigating Innovation Diffusion in Gender-Specific Medicine: Insights from Social Network Analysis," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(3), pages 335-355, June.
- Bo Yang & Chao Liu & Xusen Cheng & Xi Ma, 2022. "Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective," Group Decision and Negotiation, Springer, vol. 31(4), pages 819-842, August.
- Faruq Abdulla & Zulkar Nain & Md. Karimuzzaman & Md. Moyazzem Hossain & Azizur Rahman, 2021. "A Non-Linear Biostatistical Graphical Modeling of Preventive Actions and Healthcare Factors in Controlling COVID-19 Pandemic," IJERPH, MDPI, vol. 18(9), pages 1-14, April.
- Wullianallur Raghupathi & Dominik Molitor & Viju Raghupathi & Aditya Saharia, 2023. "Identifying Key Issues in Climate Change Litigation: A Machine Learning Text Analytic Approach," Sustainability, MDPI, vol. 15(23), pages 1-30, December.
- Nisar, Sobia & Shafiq, Muhammad, 2019. "Framework for efficient utilisation of social media in Pakistan's healthcare sector," Technology in Society, Elsevier, vol. 56(C), pages 31-43.
- 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.
- Han, Chunjia & Yang, Mu & Piterou, Athena, 2021. "Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
- Boonyanit Mathayomchan & Viriya Taecharungroj & Walanchalee Wattanacharoensil, 2023. "Evolution of COVID-19 tweets about Southeast Asian Countries: topic modelling and sentiment analyses," Place Branding and Public Diplomacy, Palgrave Macmillan, vol. 19(3), pages 317-334, September.
- Elanor Colleoni & Nuccio Ludovico & Illia Laura & Ravindran Kiron, 2021. "Does Sharing Economy Have a Moral Capital? Comparing Semantic Networks in Social Media and News Media," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 11(2), pages 1-1, December.
- Nanath, Krishnadas & Balasubramanian, Sreejith & Shukla, Vinaya & Islam, Nazrul & Kaitheri, Supriya, 2022. "Developing a mental health index using a machine learning approach: Assessing the impact of mobility and lockdown during the COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
- Cindy Cheng & Joan Barceló & Allison Spencer Hartnett & Robert Kubinec & Luca Messerschmidt, 2020. "COVID-19 Government Response Event Dataset (CoronaNet v.1.0)," Nature Human Behaviour, Nature, vol. 4(7), pages 756-768, July.
- Bruce Forrester, 2020. "Authentic chatter," Computational and Mathematical Organization Theory, Springer, vol. 26(4), pages 382-411, December.
- Greyling, Talita & Rossouw, Stephanie & Adhikari, Tamanna, 2020. "Happiness-lost: Did Governments make the right decisions to combat Covid-19?," GLO Discussion Paper Series 556, Global Labor Organization (GLO).
- Hongzhou Shen & Yue Ju & Zhijing Zhu, 2023. "Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
- Gaspar, Rui & Yan, Zheng & Domingos, Samuel, 2019. "Extreme natural and man-made events and human adaptive responses mediated by information and communication technologies' use: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 125-135.
- Melissa MacKay & Andrea Cimino & Samira Yousefinaghani & Jennifer E. McWhirter & Rozita Dara & Andrew Papadopoulos, 2022. "Canadian COVID-19 Crisis Communication on Twitter: Mixed Methods Research Examining Tweets from Government, Politicians, and Public Health for Crisis Communication Guiding Principles and Tweet Engagem," IJERPH, MDPI, vol. 19(11), pages 1-12, June.
- David A Broniatowski & Michael J Paul & Mark Dredze, 2013. "National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
- Tiziana Russo-Spena & Cristina Mele & Ylenia Cavacece & Sara Ebraico & Carina Dantas & Pedro Roseiro & Willeke van Staalduinen, 2022. "Enabling Value Co-Creation in Healthcare through Blockchain Technology," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
- Jiayin Pei & Guang Yu & Xianyun Tian & Maureen Renee Donnelley, 2017. "A new method for early detection of mass concern about public health issues," Journal of Risk Research, Taylor & Francis Journals, vol. 20(4), pages 516-532, April.
- Zeynep Ertem & Dorrie Raymond & Lauren Ancel Meyers, 2018. "Optimal multi-source forecasting of seasonal influenza," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-16, September.
More about this item
Keywords
COVID-19; coronavirus; social media; Twitter; mHealth applications; public health; sentiment analysis; network analysis; health informatics;All these keywords.
Statistics
Access and download statisticsCorrections
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:gam:jijerp:v:18:y:2021:i:24:p:13388-:d:706241. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.