scholarly journals Coronavirus Pandemic (COVID-19): A Survey of Analysis, Modeling and Recommendations

2020 ◽  
Author(s):  
Tehmina Amjad ◽  
Ali Daud ◽  
Malik Khizar Hayat ◽  
Muhammad Tanvir Afzal ◽  
Hussain Dawood
Keyword(s):  
Image Processing ◽  
Social Media ◽  
Social Media Analytics ◽  
Government Agencies ◽  
Health Organizations ◽  
Future Directions ◽  
Computing Technologies ◽  
The World ◽  
Single Industry ◽  
Prediction And Forecasting

COVID-19 has created anxiety not only in individuals but also in health organizations, and countries worldwide. Not a single industry is left un-influenced and loss is being estimated in billions of dollars. The widespread of this pandemic disease has challenged researchers all over the world. Some of the researchers are working to invent its cure while, others are applying computing technologies to stop its spread, by analyzing and identifying patterns for prediction and forecasting. This is by no doubt the hottest area of research for the last 100 years. This survey has targeted the research published in computing sub-domains to combat the pandemic. The survey has clustered the scientific efforts into logical groups: surveillance, metrological effects, social media analytics, image processing and business and economy, analysis and modeling. It will serve as a leading source for the followings: researchers who want to identify what has been achieved in different computing sub-domains, those who need fresh authenticated datasets openly accessible for different research contexts and what are future directions in this area of research. The findings of analysis and modeling can be also useful for government agencies who want to set priorities and formulate policies.

Social Media Analytics for Maintaining Financial Stability

2019 ◽  
pp. 219-242
Author(s):  
Sebin B. Nidhiri ◽  
Sakshi Saxena
Keyword(s):  
Social Media ◽  
Risk Management ◽  
Economic Activity ◽  
Financial Stability ◽  
World Wide ◽  
Social Media Analytics ◽  
Risk And Uncertainty ◽  
Dynamic Data ◽  
The World ◽  
Recent Developments

Risk and uncertainty are disliked but inevitable. The nature of these has changed and new sources of risk have risen. To mitigate risk and maintain financial stability, the firms need to adapt. The world wide web and, within it, social media have had tremendous growth and wide coverage lately, making them determining forces in any economic activity. This has led to generation of large amount of data on myriad concerns. Recent developments in computing technology has thrown open the possibility of mining useful information from the enormous and dynamic data. The chapter outlines the growth of social media and social media analytics and its financial implications to businesses, consumers, and governments. It details how risk management and social media, two domains earlier considered more diverged than chalk and cheese are now inextricably linked and explains using various cases how social media analytics is used to manage risk and uncertainty. The authors also look at the emerging challenges with these developments.

scholarly journals The Structure of Tweets about Vaccine Safety Between Health Organizations, Experts and the Public: Analyzing Risk Communication Conversations

2020 ◽  
pp. 1-25
Author(s):  
David Manheim ◽  
Anat Gesser-Edelsburg
Keyword(s):  
Social Media ◽  
Best Practices ◽  
Risk Communication ◽  
Vaccine Safety ◽  
World Health ◽  
Structure Theory ◽  
Health Organizations ◽  
The Public ◽  
The World ◽  
Conversational Structure

Abstract This paper considers how health education organizations in the World Health Organization's Vaccine Safety Network (VSN) use Twitter to communicate about vaccines with the public, and whether they answer questions and engage in conversations. Almost no research in public health, to our knowledge, has explored conversational structure on social media among posts sent by different accounts. Starting with 1,017,176 tweets by relevant users, we constructed two corpuses of multi-tweet conversations. The first was 1,814 conversations that included VSN members directly, while the second was 2,283 conversations mentioning vaccines or vaccine denialism. The tweets and user metadata was then analyzed using an adaptation of Rhetorical Structure Theory. In the studied data, VSN members tweeted 12,677 times within conversations, compared to their 37,587 lone tweets. Their conversations were shorter than those in the comparison corpus (P < 0.0001), and they were involved in fewer multilogues (P < 0.0001). We also see that while there is diversity among organizations, most were tied to the pre-social-media broadcast model. In the future, they should try to converse more, rather than tweet more, and embrace best-practices in risk-communication.

Social Media Analytics for Maintaining Financial Stability

2021 ◽  
pp. 850-873
Author(s):  
Sebin B. Nidhiri ◽  
Sakshi Saxena
Keyword(s):  
Social Media ◽  
Risk Management ◽  
Economic Activity ◽  
Financial Stability ◽  
World Wide ◽  
Social Media Analytics ◽  
Risk And Uncertainty ◽  
Dynamic Data ◽  
The World ◽  
Recent Developments

Risk and uncertainty are disliked but inevitable. The nature of these has changed and new sources of risk have risen. To mitigate risk and maintain financial stability, the firms need to adapt. The world wide web and, within it, social media have had tremendous growth and wide coverage lately, making them determining forces in any economic activity. This has led to generation of large amount of data on myriad concerns. Recent developments in computing technology has thrown open the possibility of mining useful information from the enormous and dynamic data. The chapter outlines the growth of social media and social media analytics and its financial implications to businesses, consumers, and governments. It details how risk management and social media, two domains earlier considered more diverged than chalk and cheese are now inextricably linked and explains using various cases how social media analytics is used to manage risk and uncertainty. The authors also look at the emerging challenges with these developments.

Social Media Analytics to Predict Depression Level in the Users

2019 ◽  
pp. 199-215
Author(s):  
Mohammad Shahid Husain
Keyword(s):  
Social Media ◽  
Mental State ◽  
Mental Disease ◽  
Self Report ◽  
Health Concern ◽  
Social Media Analytics ◽  
Health And Wellbeing ◽  
The World ◽  
Web Forums ◽  
Depression Level

As people around the world are spending increasing amounts of time online, the question of how online experiences are linked to health and wellbeing is essential. Depression has become a public health concern around the world. Traditional methods for detecting depression rely on self-report techniques, which suffer from inefficient data collection and processing. Research shows that symptoms linked to mental illness are detectable on social media like Twitter, Facebook, and web forums, and automatic methods are more and more able to locate inactivity and other mental disease. The pattern of social media usage can be very helpful to predict the mental state of a user. This chapter also presents how activities on Facebook are associated with the depressive states of users. Based on online logs, we can predict the mental state of users.

Researching microcelebrity: Methods, access and labour

First Monday ◽  
2016 ◽  
Author(s):  
Jonathan Mavroudis ◽  
Esther Milne
Keyword(s):  
Social Media ◽  
Los Angeles ◽  
Social Relations ◽  
Future Research ◽  
Social Media Analytics ◽  
Public Performance ◽  
Cultural Impact ◽  
Future Directions ◽  
Primary Focus ◽  
High Level

The term “microcelebrity” describes a broad range of practices, platforms and social relations that includes but is not limited to the increasing significance of public performance in everyday life, the monetisation of social media and the widening scope of what constitutes celebrity culture. While contemporary research on microcelebrity has introduced important ways of discussing the cultural impact of these new forms of visibility, the methodological focus has generally been on discourse analysis and social media analytics. In response, this paper reports on the early stages of a research project which involves interviewing microcelebrities living in Los Angeles about their profile creation on Instagram and YouTube. We argue there are significant issues at play in relation to gaining access to the interview subjects. The paper outlines the methods used and explores how the issue of access is negotiated by the interview subjects and the researcher. Since one of the authors, Jonathan Mavroudis, himself identifies as a microcelebrity with over 25,000 followers on Instagram he is in a unique position to interview these people. This high level of access to a specific cohort of microcelebrities has not been easy to gain for many academic researchers. Jonathan’s microcelebrity status opens up the possibility of conducting autoethnographic research and this is framed as a discussion of relational ethics. Although the primary focus of the paper is on method we also want to discuss early suggestive themes arising from the data including the obligations felt by these microcelebrities to enact a particular mode of identity and how this is experienced as labour. We highlight these initial topics in order to bring context to the discussion of method. Access enables and constrains certain forms of research to occur and in so doing raises questions of trust and friendship. With only 3 interviews conducted to date this is not, of course, representative of all microcelebrities. However it can function as a snapshot of early findings that we hope will inform future research methods and conceptual debates. The paper concludes with some suggestions for future directions of the field more generally.

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 Capturing Emerging Realities in Citizen Engagement in Science in Social Media: A Social Media Analytics Protocol for the Allinteract Study

2021 ◽  
Vol 20 ◽  
pp. 160940692110501
Author(s):  
Cristina M. Pulido Rodriguez ◽  
Pavel Ovseiko ◽  
Marta Font Palomar ◽  
Kristiina Kumpulainen ◽  
Mimar Ramis
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Social Impact ◽  
Social Media Analytics ◽  
Citizen Engagement ◽  
The Novel ◽  
Horizon 2020 ◽  
Digital Era ◽  
The Social ◽  
The World

In the digital era, social media has become a space for the socialization and interaction of citizens, who are using social networks to express themselves and to discuss scientific advances with citizens from all over the world. Researchers are aware of this reality and are increasingly using social media as a source of data to explore citizens’ voices. In this context, the methods followed by researchers are mainly based on the content analysis using manual, automated or combined tools. The aim of this article is to share a protocol for Social Media Analytics that includes a Communicative Content Analysis (CCA). This protocol has been designed for the Horizon 2020 project Allinteract, and it includes the social impact in social media methodology. The novel contribution of this protocol is the detailed elaboration of methods and procedures to capture emerging realities in citizen engagement in science in social media using a Communicative Content Analysis (CCA) based on the contributions of Communicative Methodology (CM).

A basic introduction to image processing using NIH-Image as a model

1994 ◽  
Vol 52 ◽  
pp. 392-393
Author(s):  
John Mansfield
Keyword(s):  
Image Processing ◽  
Digital Image ◽  
Image Acquisition ◽  
Digital Instrument ◽  
Novice User ◽  
Nih Image ◽  
The Past ◽  
Digital World ◽  
The World ◽  
Instrument Control

Advances in camera technology and digital instrument control have meant that in modern microscopy, the image that was, in the past, typically recorded on a piece of film is now recorded directly into a computer. The transfer of the analog image seen in the microscope to the digitized picture in the computer does not mean, however, that the problems associated with recording images, analyzing them, and preparing them for publication, have all miraculously been solved. The steps involved in the recording an image to film remain largely intact in the digital world. The image is recorded, prepared for measurement in some way, analyzed, and then prepared for presentation.Digital image acquisition schemes are largely the realm of the microscope manufacturers, however, there are also a multitude of “homemade” acquisition systems in microscope laboratories around the world. It is not the mission of this tutorial to deal with the various acquisition systems, but rather to introduce the novice user to rudimentary image processing and measurement.

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