scholarly journals COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis (Preprint)

2021 ◽  
Author(s):  
Joanne Chen Lyu ◽  
Eileen Le Han ◽  
Garving K Luli
Keyword(s):  
Social Media ◽  
Topic Modeling ◽  
Large Scale ◽  
National Research Council ◽  
Global Perspective ◽  
World Health ◽  
Data Set ◽  
Emotion Analysis ◽  
The Public ◽  
The World

BACKGROUND Vaccination is a cornerstone of the prevention of communicable infectious diseases; however, vaccines have traditionally met with public fear and hesitancy, and COVID-19 vaccines are no exception. Social media use has been demonstrated to play a role in the low acceptance of vaccines. OBJECTIVE The aim of this study is to identify the topics and sentiments in the public COVID-19 vaccine–related discussion on social media and discern the salient changes in topics and sentiments over time to better understand the public perceptions, concerns, and emotions that may influence the achievement of herd immunity goals. METHODS Tweets were downloaded from a large-scale COVID-19 Twitter chatter data set from March 11, 2020, the day the World Health Organization declared COVID-19 a pandemic, to January 31, 2021. We used R software to clean the tweets and retain tweets that contained the keywords <i>vaccination</i>, <i>vaccinations</i>, <i>vaccine</i>, <i>vaccines</i>, <i>immunization</i>, <i>vaccinate</i>, and <i>vaccinated</i>. The final data set included in the analysis consisted of 1,499,421 unique tweets from 583,499 different users. We used R to perform latent Dirichlet allocation for topic modeling as well as sentiment and emotion analysis using the National Research Council of Canada Emotion Lexicon. RESULTS Topic modeling of tweets related to COVID-19 vaccines yielded 16 topics, which were grouped into 5 overarching themes. Opinions about vaccination (227,840/1,499,421 tweets, 15.2%) was the most tweeted topic and remained a highly discussed topic during the majority of the period of our examination. Vaccine progress around the world became the most discussed topic around August 11, 2020, when Russia approved the world’s first COVID-19 vaccine. With the advancement of vaccine administration, the topic of instruction on getting vaccines gradually became more salient and became the most discussed topic after the first week of January 2021. Weekly mean sentiment scores showed that despite fluctuations, the sentiment was increasingly positive in general. Emotion analysis further showed that trust was the most predominant emotion, followed by anticipation, fear, sadness, etc. The trust emotion reached its peak on November 9, 2020, when Pfizer announced that its vaccine is 90% effective. CONCLUSIONS Public COVID-19 vaccine–related discussion on Twitter was largely driven by major events about COVID-19 vaccines and mirrored the active news topics in mainstream media. The discussion also demonstrated a global perspective. The increasingly positive sentiment around COVID-19 vaccines and the dominant emotion of trust shown in the social media discussion may imply higher acceptance of COVID-19 vaccines compared with previous vaccines.

scholarly journals Sentiment Analysis and Topic Modeling of Indonesian Public Conversation about COVID-19 Epidemics on Twitter

2021 ◽  
Vol 10 (1) ◽  
pp. 23-30
Author(s):  
Muhammad Habibi ◽  
Adri Priadana ◽  
Muhammad Rifqi Ma’arif
Keyword(s):  
Public Health ◽  
Social Media ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
World Health ◽  
The Public ◽  
Response Strategies ◽  
Existing Problems ◽  
The World ◽  
Health Organization

The World Health Organization (WHO) declared the COVID-19 outbreak has resulted in more than six million confirmed cases and more than 371,000 deaths globally on June 1, 2020. The incident sparked a flood of scientific research to help society deal with the virus, both inside and outside the medical domain. Research related to public health analysis and public conversations about the spread of COVID-19 on social media is one of the highlights of researchers in the world. People can analyze information from social media as supporting data about public health. Analyzing public conversations will help the relevant authorities understand public opinion and information gaps between them and the public, helping them develop appropriate emergency response strategies to address existing problems in the community during the pandemic and provide information on the population's emotions in different contexts. However, research related to the analysis of public health and public conversations was so far conducted only through supervised analysis of textual data. In this study, we aim to analyze specifically the sentiment and topic modeling of Indonesian public conversations about the COVID-19 on Twitter using the NLP technique. We applied some methods to analyze the sentiment to obtain the best classification method. In this study, the topic modeling was carried out unsupervised using Latent Dirichlet Allocation (LDA). The results of this study reveal that the most frequently discussed topic related to the COVID-19 pandemic is economic issues.

scholarly journals Vaping discussion in the COVID-19 pandemic: An observational study using Twitter data

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260290
Author(s):  
Joanne Chen Lyu ◽  
Garving K. Luli ◽  
Pamela M. Ling
Keyword(s):  
Social Media ◽  
Topic Modeling ◽  
Public Discourse ◽  
Information Dissemination ◽  
Scientific Information ◽  
World Health ◽  
Data Set ◽  
The Public ◽  
Time Period ◽  
Increased Risk

Background With the spread of COVID-19, significant concerns have been raised about the potential increased risk for electronic cigarette (e-cigarette) users for COVID-19 infection and related syndromes. Social media is an increasingly popular source for health information dissemination and discussion, and can affect health outcomes. Objective This study aims to identify the topics in the public vaping discussion in COVID-19–related Twitter posts in order to get insight into public vaping-related perceptions, attitudes and concerns, and to discern possible misinformation and misconceptions around vaping in the COVID-19 pandemic. Methods Using the tweets ID database maintained by Georgia State University’s Panacea Lab, we downloaded the tweets related to COVID-19 from March 11, 2020, when the World Health Organization declared COVID-19 a pandemic, to February 12, 2021. We used R to analyze the tweets that contained a list of 79 keywords related to vaping. After removing duplicates and tweets created by faked accounts or bots, the final data set consisted of 11,337 unique tweets from 7,710 different users. We performed the latent Dirichlet allocation (LDA) algorithm for topic modeling and carried out a sentiment analysis. Results Despite fluctuations, the number of daily tweets was relatively stable (average number of daily tweets = 33.4) with a sole conspicuous spike happening on a few days after August 11, 2020 when a research team published findings that teenagers and young adults who vape face a much higher risk of COVID-19 infection than their peers who do not vape. Topic modeling generated 8 topics: linkage between vaping and risk of COVID-19 infection, vaping pneumonia and the origin of COVID-19, vaping and spread of COVID-19, vaping regulation, calling for quitting vaping, protecting youth, similarity between e-cigarette or vaping-associated lung injury (EVALI) and COVID-19, and sales information. Daily sentiment scores showed that the public sentiment was predominantly negative, but became slightly more positive over the course of the study time period. Conclusions While some content in the public discourse on vaping before the COVID-19 pandemic continued in Twitter posts during the COVID-19 time period, new topics emerged. We found a substantial amount of anti-vaping discussion and dominantly negative sentiment around vaping during COVID-19, a sharp contrast to the predominantly pro-vaping voice on social media in the pre-COVID-19 period. Continued monitoring of social media conversations around vaping is needed, and the public health community may consider using social media platforms to actively convey scientific information around vaping and vaping cessation.

scholarly journals The “Obiettivo Antibiotico” Campaign on Prudent Use of Antibiotics in Sicily, Italy: The Pilot Phase

2020 ◽  
Vol 17 (9) ◽  
pp. 3077 ◽  
Author(s):  
Martina Barchitta ◽  
Annalisa Quattrocchi ◽  
Andrea Maugeri ◽  
Maria Clara La Rosa ◽  
Claudia La Mastra ◽  
...  
Keyword(s):  
Social Media ◽  
Antimicrobial Resistance ◽  
General Public ◽  
Healthcare Professionals ◽  
Educational Interventions ◽  
World Health ◽  
Pilot Phase ◽  
The Public ◽  
The World ◽  
Health Organization

The issue of antimicrobial resistance (AMR) is a focus of the World Health Organization, which proposes educational interventions targeting the public and healthcare professionals. Here, we present the first attempt at a regionwide multicomponent campaign in Sicily (Italy), called “Obiettivo Antibiotico”, which aims to raise the awareness of prudent use of antibiotics in the public and in healthcare professionals. The campaign was designed by an interdisciplinary academic team, and an interactive website was populated with different materials, including key messages, letters, slogans, posters, factsheets, leaflets, and videos. The campaign was launched in November 2018 and, as of 21 December 2018, the website had a total of 1159 unique visitors, of which 190 became champions by pledging to take simple actions to support the fight against AMR. Data from social media showed that the audience was between 18 and 54 years of age, with a high proportion of female participants (64%). Interestingly, the LinkedIn page received more than 1200 followers, and Facebook 685 followers. The number of actions taken (pledges) by the audience was 458, evenly divided between experts (53%) and the general public (47%). Additional efforts are needed to reach more people, thus future efforts should focus on further promotion within the Sicilian region to sustain the engagement with the campaign.

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.

scholarly journals The WHO Health Alert: Communicating a Global Pandemic with WhatsApp

2020 ◽  
Vol 35 (1) ◽  
pp. 35-40
Author(s):  
Josephine Walwema
Keyword(s):  
Social Media ◽  
World Health ◽  
Global Risk ◽  
The Public ◽  
Global Pandemic ◽  
The Social ◽  
The World ◽  
Access Information ◽  
Health Organization ◽  
Local Agencies

Upon declaring COVID-19 a global pandemic, the World Health Organization (WHO) orchestrated a global risk-communication outreach. The WHO’s objective was to persuade the public to upend and alter their lives so as to contain the disease and minimize its spread and infection. The WHO found a simple and efficient medium to communicate glocally through the social media application WhatsApp, through which individuals could access information without gatekeeping by governments and local agencies.

Kim Kardashian: the Leader of the Influencers

2019 ◽  
Author(s):  
Laila Fariha Zein ◽  
Adib Rifqi Setiawan
Keyword(s):  
Social Media ◽  
The United States ◽  
Armenian Genocide ◽  
The Public ◽  
Self Defense ◽  
Global Commerce ◽  
The World ◽  
Social Media Platforms ◽  
International Issues ◽  
Global Influence

In today’s world, it is easier and easier to stay connected with people who are halfway across the world. Social media and a globalizing economy have created new methods of business, trade and socialization resulting in vast amounts of communication and effecting global commerce. Like her or hate her, Kimberly Noel Kardashian West as known as Kim Kardashian has capitalized on social media platforms and the globalizing economy. Kim is known for two things: famous for doing nothing and infamous for a sex tape. But Kim has not let those things define her. With over 105 million Instagram followers and 57 million Twitter followers, Kim has become a major global influence. Kim has travelled around the world, utilizing the success she has had on social media to teach make-up master classes with professional make-up artist, Mario Dedivanovic. She owns or has licensed several different businesses including: an emoji app, a personal app, a gaming app, a cosmetics line, and a fragrance line. Not to be forgotten, the Kardashian family show, ‘Keeping Up with the Kardashians’ has been on the air for ten years with Kim at the forefront. Kim also has three books: ‘Kardashian Konfidential’, ‘Dollhouse’, and ‘Selfish’. With her rising social media following, Kim has used the platforms to show her support for politicians and causes, particularly, recognition of the Armenian genocide. Kim also recently spoke at the Forbes’ women’s summit. Following the summit, Kim tweeted out her support for a recent movement on Twitter, #freeCyntoiaBrown which advocated for a young woman who claimed to have shot and killed the man who held her captive as a teenage sex slave in self-defense. Kim had her own personal lawyers help out Cyntoia on her case. Kim has also moved beyond advocating for issues within the confines of the United States. As mentioned earlier, she is known for advocating for recognition of the Armenian genocide. In the last two years, her show has made it a point to address the Armenian situation as it was then and as it is now. Kim has been recognized as a global influencer by others across the wordl. We believe Kim has become the same as political leaders when it comes to influencing the public. Kim’s story reveals that the new reality creates a perfect opportunity for mass disturbances or for initiating mass support or mass disapproval. Although Kim is typically viewed for her significance to pop culture, Kim’s business and social media following have placed her deep into the mix of international commerce. As her businesses continue to grow and thrive, we may see more of her influence on international issues and an increase in the commerce from which her businesses benefit.

scholarly journals Building evidence on what works (and what does not): practical guidance from the World Health Organization on post-project evaluation of adolescent sexual and reproductive health projects

2021 ◽  
Author(s):  
Susan Igras ◽  
Marina Plesons ◽  
Venkatraman Chandra-Mouli
Keyword(s):  
Reproductive Health ◽  
World Health Organization ◽  
Sexual And Reproductive Health ◽  
Project Evaluation ◽  
World Health ◽  
The Public ◽  
What Works ◽  
The World ◽  
Practical Guidance ◽  
Health Organization

Abstract Over the past 25 years, there has been significant progress in increasing the recognition of, resources for, and action on adolescent health, and adolescent sexual and reproductive health (ASRH) in particular. As with numerous other health areas, however, many of the projects that aim to improve ASRH are implemented without well-thought-out plans for evaluation. As a result, the lessons that projects learn as they encounter and address policy and programmatic challenges are often not extracted and placed in the public arena. In such cases, post-project evaluation (PPE) offers the possibility to generate learnings about what works (and does not work), to complement prospective studies of new or follow-on projects. To fill the gap in the literature and guidance on PPE, the World Health Organization developed The project has ended, but we can still learn from it! Practical guidance for conducting post-project evaluations of adolescent sexual and reproductive health projects. This article provides an overview of the guidance by outlining key methodological and contextual challenges in conducting PPE, as well as illustrative solutions for responding to them.

Sex in the City that Peter Built: The Demimonde and Sociability in Mid-Eighteenth Century St. Petersburg

Slavic Review ◽  
2017 ◽  
Vol 76 (4) ◽  
pp. 907-930
Author(s):  
Igor Fedyukin
Keyword(s):  
Eighteenth Century ◽  
Public Sphere ◽  
Large Scale ◽  
Historical Context ◽  
Reading Public ◽  
Associational Life ◽  
The Public ◽  
The World ◽  
The Public Sphere ◽  
The City

This article uses the materials of the Drezdensha affair, a large-scale investigation of “indecency” in St. Petersburg in 1750, to explore unofficial sociability among the Imperial elite, and to map out the institutional, social, and economic dimensions of the post-Petrine “sexual underworld.” Sociability and, ultimately, the public sphere in eighteenth century Russia are usually associated with loftier practices, with joining the ranks of the reading public, reflecting on the public good, and generally, becoming more civil and polite. Yet, it is the privately-run, commercially-oriented, and sexually-charged “parties” at the focus of this article that arguably served as a “training ground” for developing the habits of sociability. The world of these “parties” provides a missing link between the debauchery and carousing of Peter I's era and the more polite formats of associational life in the late eighteenth century, as well as the historical context for reflections on morality, sexual licentiousness, foppery, and the excesses of “westernization.”

The evolution of rumors on a closed platform during COVID-19 (Preprint)

2021 ◽  
Author(s):  
Andrea Wen-Yi Wang ◽  
Jo-Yu Lan ◽  
Ming-Hung Wang ◽  
Chihhao Yu
Keyword(s):  
Social Media ◽  
World Health Organization ◽  
Psychological Health ◽  
Instant Messaging ◽  
Medical Personnel ◽  
Text Messages ◽  
World Health ◽  
The World ◽  
Physical And Psychological Health ◽  
Health Organization

BACKGROUND In 2020, the COVID-19 pandemic put the world in crisis on both physical and psychological health. Simultaneously, a myriad of unverified information flowed on social media and online outlets. The situation was so severe that the World Health Organization identified it an infodemic on February 2020. OBJECTIVE We want to study the propagation patterns and textual transformation of COVID-19 related rumors on a closed-platform. METHODS We obtained a dataset of 114 thousand suspicious text messages collected on Taiwan’s most popular instant messaging platform, LINE. We also proposed an algorithm that efficiently cluster text messages into groups, where each group contains text messages within limited difference in content. Each group then represents a rumor and elements in each group is a message about the rumor. RESULTS 114 thousand messages were separated into 937 groups with at least 10 elements. Of the 936 rumors, 44.5% (417) were related to COVID-19. By studying 3 popular false COVID-19 rumors, we identified that key authoritative figures, mostly medical personnel, were often quoted in the messages. Also, rumors resurfaced multiple times after being fact-checked, and the resurfacing pattern were influenced by major societal events and successful content alterations, such as changing whom to quote in a message. CONCLUSIONS To fight infodemic, it is crucial that we first understand why and how a rumor becomes popular. While social media gives rise to unprecedented number of unverified rumors, it also provides a unique opportunity for us to study rumor propagations and the interactions with society. Therefore, we must put more effort in the areas.

Comparativa de modelos multivariados basados en aprendizaje automático para la predicción del riesgo de diabetes en etapas tempranas

2021 ◽  
Author(s):  
◽  
Zayra Ramírez Gaytán
Keyword(s):  
World Health ◽  
Degenerative Diseases ◽  
Decision Tree Algorithm ◽  
Data Set ◽  
The World ◽  
Long Time ◽  
Life Threatening ◽  
Health Organization ◽  
Logistic Regression Algorithm ◽  
Asymptomatic Phase

Diabetes is one of the fastest-growing, life-threatening, chronic degenerative diseases. According to the World Health Organization (WHO), it has affected 422 million people worldwide in 2018. Approximately 50% of all people who suffer diabetes are not diagnosed due to the asymptomatic phase which usually lasts a long time. In this work, a data set of 520 instances has been used. The data set has been analyzed with the next three algorithms: logistic regression algorithm, decision trees and random forest. The results show that the decision tree algorithm had better performance with an AUC of 98%. Also, it was found the most common symptoms that a person with a risk of diabetes presents are polyuria, polydipsia and sudden weight loss.

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