Social Media Analytics for Health Care

2021 ◽  
pp. 119-138
Author(s):  
K. Aditya Shastry ◽  
H. A. Sanjay ◽  
Manoj Kumar
Keyword(s):  
Health Care ◽  
Social Media ◽  
Social Media Analytics

scholarly journals Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis

10.2196/19276 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e19276 ◽  
Author(s):  
Abdullah Wahbeh ◽  
Tareq Nasralah ◽  
Mohammad Al-Ramahi ◽  
Omar El-Gayar
Keyword(s):  
Health Care ◽  
Social Media ◽  
Mixed Methods ◽  
Qualitative Analysis ◽  
Health Care Systems ◽  
Supervised Machine Learning ◽  
Machine Learning Techniques ◽  
Medical Professionals ◽  
Social Media Analytics ◽  
Care Systems

Background The coronavirus disease (COVID-19) pandemic is considered to be the most daunting public health challenge in decades. With no effective treatments and with time needed to develop a vaccine, alternative approaches are being used to control this pandemic. Objective The objective of this paper was to identify topics, opinions, and recommendations about the COVID-19 pandemic discussed by medical professionals on the Twitter social medial platform. Methods Using a mixed methods approach blending the capabilities of social media analytics and qualitative analysis, we analyzed COVID-19–related tweets posted by medical professionals and examined their content. We used qualitative analysis to explore the collected data to identify relevant tweets and uncover important concepts about the pandemic using qualitative coding. Unsupervised and supervised machine learning techniques and text analysis were used to identify topics and opinions. Results Data were collected from 119 medical professionals on Twitter about the coronavirus pandemic. A total of 10,096 English tweets were collected from the identified medical professionals between December 1, 2019 and April 1, 2020. We identified eight topics, namely actions and recommendations, fighting misinformation, information and knowledge, the health care system, symptoms and illness, immunity, testing, and infection and transmission. The tweets mainly focused on needed actions and recommendations (2827/10,096, 28%) to control the pandemic. Many tweets warned about misleading information (2019/10,096, 20%) that could lead to infection of more people with the virus. Other tweets discussed general knowledge and information (911/10,096, 9%) about the virus as well as concerns about the health care systems and workers (909/10,096, 9%). The remaining tweets discussed information about symptoms associated with COVID-19 (810/10,096, 8%), immunity (707/10,096, 7%), testing (605/10,096, 6%), and virus infection and transmission (503/10,096, 5%). Conclusions Our findings indicate that Twitter and social media platforms can help identify important and useful knowledge shared by medical professionals during a pandemic.

Mining Arabic Twitter conversations on health care: a new approach to analysing Arabic language on social media

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nael Alqtati ◽  
Jonathan A.J. Wilson ◽  
Varuna De Silva
Keyword(s):  
Health Care ◽  
Social Media ◽  
Language Processing ◽  
Data Science ◽  
Arabic Language ◽  
Marketing Communications ◽  
Social Media Analytics ◽  
Data Set ◽  
Content Type ◽  
Social Media Platforms

Purpose This paper aims to equip professionals and researchers in the fields of advertising, branding, public relations, marketing communications, social media analytics and marketing with a simple, effective and dynamic means of evaluating consumer behavioural sentiments and engagement through Arabic language and script, in vivo. Design/methodology/approach Using quantitative and qualitative situational linguistic analyses of Classical Arabic, found in Quranic and religious texts scripts; Modern Standard Arabic, which is commonly used in formal Arabic channels; and dialectical Arabic, which varies hugely from one Arabic country to another: this study analyses rich marketing and consumer messages (tweets) – as a basis for developing an Arabic language social media methodological tool. Findings Despite the popularity of Arabic language communication on social media platforms across geographies, currently, comprehensive language processing toolkits for analysing Arabic social media conversations have limitations and require further development. Furthermore, due to its unique morphology, developing text understanding capabilities specific to the Arabic language poses challenges. Practical implications This study demonstrates the application and effectiveness of the proposed methodology on a random sample of Twitter data from Arabic-speaking regions. Furthermore, as Arabic is the language of Islam, the study is of particular importance to Islamic and Muslim geographies, markets and marketing. Social implications The findings suggest that the proposed methodology has a wider potential beyond the data set and health-care sector analysed, and therefore, can be applied to further markets, social media platforms and consumer segments. Originality/value To remedy these gaps, this study presents a new methodology and analytical approach to investigating Arabic language social media conversations, which brings together a multidisciplinary knowledge of technology, data science and marketing communications.

scholarly journals Social Media Analytics using Qlik Connectors

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3527-3530
Keyword(s):  
Health Care ◽  
Social Media ◽  
Preliminary Analysis ◽  
Digital Age ◽  
Social Media Analytics ◽  
Software Algorithms ◽  
The World

In the digital age high-end computers are used for storing an increased amount of data, which might not be possible a decade ago. These computers run on sophisticated software algorithms producing fast insights needed to make fact-based decisions. By implementing the science of numbers, data and analytical discovery to work together, it has been found that what we think or believe; produce answers to questions we never thought to ask. That’s the power of analytics. Information has been scrutinize as a powerful weapon, and analytics is the forge that creates it. Analytics changes everything, not just in the world of business, but also in science, sports, health care and in few field where enormous data are collected. The combination of analytics and connectors into social media gives an immense accuracy and popularity throughout different forms of business. This paper is the preliminary analysis of few areas considered from social media like Face book, Twitter etc, where data is gathered and analytics is drawn with the help of connectors through Qlik.

scholarly journals Mining Physicians’ Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis (Preprint)

2020 ◽  
Author(s):  
Abdullah Wahbeh ◽  
Tareq Nasralah ◽  
Mohammad Al-Ramahi ◽  
Omar El-Gayar
Keyword(s):  
Health Care ◽  
Social Media ◽  
Mixed Methods ◽  
Qualitative Analysis ◽  
Health Care Systems ◽  
Supervised Machine Learning ◽  
Machine Learning Techniques ◽  
Medical Professionals ◽  
Social Media Analytics ◽  
Care Systems

BACKGROUND The coronavirus disease (COVID-19) pandemic is considered to be the most daunting public health challenge in decades. With no effective treatments and with time needed to develop a vaccine, alternative approaches are being used to control this pandemic. OBJECTIVE The objective of this paper was to identify topics, opinions, and recommendations about the COVID-19 pandemic discussed by medical professionals on the Twitter social medial platform. METHODS Using a mixed methods approach blending the capabilities of social media analytics and qualitative analysis, we analyzed COVID-19–related tweets posted by medical professionals and examined their content. We used qualitative analysis to explore the collected data to identify relevant tweets and uncover important concepts about the pandemic using qualitative coding. Unsupervised and supervised machine learning techniques and text analysis were used to identify topics and opinions. RESULTS Data were collected from 119 medical professionals on Twitter about the coronavirus pandemic. A total of 10,096 English tweets were collected from the identified medical professionals between December 1, 2019 and April 1, 2020. We identified eight topics, namely actions and recommendations, fighting misinformation, information and knowledge, the health care system, symptoms and illness, immunity, testing, and infection and transmission. The tweets mainly focused on needed actions and recommendations (2827/10,096, 28%) to control the pandemic. Many tweets warned about misleading information (2019/10,096, 20%) that could lead to infection of more people with the virus. Other tweets discussed general knowledge and information (911/10,096, 9%) about the virus as well as concerns about the health care systems and workers (909/10,096, 9%). The remaining tweets discussed information about symptoms associated with COVID-19 (810/10,096, 8%), immunity (707/10,096, 7%), testing (605/10,096, 6%), and virus infection and transmission (503/10,096, 5%). CONCLUSIONS Our findings indicate that Twitter and social media platforms can help identify important and useful knowledge shared by medical professionals during a pandemic.

Social Media Analytics in Education: What Is It, How Is It Useful, and What Does It Tell Us About How Schools Are Discussed in Social Media?

2014 ◽  
Vol 35 (1) ◽  
pp. 7-43 ◽  
Author(s):  
Dick M. Carpenter ◽  
Jenifer Walsh Robertson ◽  
Michele E. Johnson ◽  
Scott Blum
Keyword(s):  
Social Media ◽  
Social Media Analytics

Corona Virus (COVID-19) Awareness Assessment - A Survey Study Amongst the Indian Population

2020 ◽  
Author(s):  
Gabriela Fernandes
Keyword(s):  
Health Care ◽  
Social Media ◽  
Health Care Workers ◽  
Indian Population ◽  
Age Groups ◽  
Survey Study ◽  
Social Distancing ◽  
Corona Virus ◽  
Care Workers ◽  
Amount Of Knowledge

Aim: The aim of this survey study was to assess the level of awareness amongst Indian population regarding the COVID-19. Method: A survey was conducted amongst 745 individuals to assess their level of awareness regarding COVID-19 and steps to be taken for its prevention. Result: The results revealed that a considerable percentage of individuals learned about the pandemic through social media and news and were aware of the mode of spread of the virus and also steps to be taken to prevent it from spreading. But considerable percentage of people was also not fully aware regarding the age groups this virus will be affecting. Conclusion: Upon understanding the percentage of people not aware about the age groups this virus will be affecting, keeping in mind good amount of knowledge amongst individuals about maintaining hygiene and social distancing, this survey would help the health care workers to create awareness regarding the effect of this virus on different age groups to help prevent carelessness amongst youth in following the regime.

Winning Combo: Social Media and Health Care

2012 ◽  
Author(s):  
Charu Mathur ◽  
Nidhi Mathur
Keyword(s):  
Health Care ◽  
Social Media
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