scholarly journals Online misinformation and vaccine hesitancy

2021 ◽  
Author(s):  
Renee Garett ◽  
Sean D Young
Keyword(s):  
Social Media ◽  
Vaccine Hesitancy ◽  
Effective Vaccine ◽  
Vaccine Preventable Disease ◽  
Misleading Information ◽  
Preventable Disease ◽  
Media Companies ◽  
Online Social Media ◽  
Childhood Vaccine ◽  
Health Experts

Lay Summary Vaccine hesitancy, the rejection or delay to get vaccinated even if there is an effective vaccine available, may be instrumental in the resurgence of vaccine-preventable disease. Studies have shown that the rise in nonmedical exemptions for vaccination increases rates of childhood vaccine-preventable disease. One factor that influences vaccine hesitancy is online misinformation. False or misleading information online regarding vaccines can be found in independent news outlets, websites, and social media. The spread of vaccine misinformation is especially important during the COVID-19 pandemic as false information can decrease pro-vaccine opinions. The recent announcement of an effective COVID-19 vaccine became a hot topic online, with many adults hesitant to take the vaccine. Public health experts, medical professionals, and pro-vaccine individuals can help curb the spread of misinformation by correcting false statements online. Social media companies can also aid in stopping misinformation by implementing and enforcing policy that limits misinformation on their platforms.

scholarly journals Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts (Preprint)

2021 ◽  
Author(s):  
Tau Ming Liew ◽  
Cia Sin Lee
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Temporal Variations ◽  
Emotional Reactions ◽  
Barriers And Facilitators ◽  
Vaccine Uptake ◽  
Vaccine Hesitancy ◽  
Effective Vaccine ◽  
Public Attention ◽  
Public Concerns

BACKGROUND Although COVID-19 vaccines have recently become available, efforts in global mass vaccination can be hampered by the widespread issue of vaccine hesitancy. OBJECTIVE The aim of this study was to use social media data to capture close-to-real-time public perspectives and sentiments regarding COVID-19 vaccines, with the intention to understand the key issues that have captured public attention, as well as the barriers and facilitators to successful COVID-19 vaccination. METHODS Twitter was searched for tweets related to “COVID-19” and “vaccine” over an 11-week period after November 18, 2020, following a press release regarding the first effective vaccine. An unsupervised machine learning approach (ie, structural topic modeling) was used to identify topics from tweets, with each topic further grouped into themes using manually conducted thematic analysis as well as guided by the theoretical framework of the COM-B (capability, opportunity, and motivation components of behavior) model. Sentiment analysis of the tweets was also performed using the rule-based machine learning model VADER (Valence Aware Dictionary and Sentiment Reasoner). RESULTS Tweets related to COVID-19 vaccines were posted by individuals around the world (N=672,133). Six overarching themes were identified: (1) emotional reactions related to COVID-19 vaccines (19.3%), (2) public concerns related to COVID-19 vaccines (19.6%), (3) discussions about news items related to COVID-19 vaccines (13.3%), (4) public health communications about COVID-19 vaccines (10.3%), (5) discussions about approaches to COVID-19 vaccination drives (17.1%), and (6) discussions about the distribution of COVID-19 vaccines (20.3%). Tweets with negative sentiments largely fell within the themes of emotional reactions and public concerns related to COVID-19 vaccines. Tweets related to facilitators of vaccination showed temporal variations over time, while tweets related to barriers remained largely constant throughout the study period. CONCLUSIONS The findings from this study may facilitate the formulation of comprehensive strategies to improve COVID-19 vaccine uptake; they highlight the key processes that require attention in the planning of COVID-19 vaccination and provide feedback on evolving barriers and facilitators in ongoing vaccination drives to allow for further policy tweaks. The findings also illustrate three key roles of social media in COVID-19 vaccination, as follows: surveillance and monitoring, a communication platform, and evaluation of government responses.

COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Dataset of Anti-vaccine Content, Vaccine Misinformation and Conspiracies (Preprint)

2021 ◽  
Author(s):  
Goran Muric ◽  
Yusong Wu ◽  
Emilio Ferrara
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Herd Immunity ◽  
Application Programming Interface ◽  
Data Access ◽  
Vaccine Hesitancy ◽  
Global Public Health ◽  
News Sources ◽  
Online Social Media ◽  
Vaccination Campaigns

BACKGROUND False claims about COVID-19 vaccines can undermine public trust in ongoing vaccination campaigns, thus posing a threat to global public health. Misinformation originating from various sources has been spreading online since the beginning of the COVID-19 pandemic. Anti-vaccine activists have also begun to utilize platforms like Twitter to share their views. To properly understand the phenomenon of vaccine hesitancy through the lens of online social media, it is of greatest importance to gather the relevant data. OBJECTIVE In this paper, we describe a dataset of Twitter posts that exhibit a strong anti-vaccine stance. The dataset is made available to the research community via our AvaxTweets dataset GitHub repository. METHODS We started the ongoing data collection on October 18, 2020, leveraging the Twitter streaming application programming interface (API) to follow a set of specific anti-vaccine related keywords. Additionally, we collect the historical tweets of the set of accounts that engaged in spreading anti-vaccination narratives at some point during 2020. RESULTS Since the inception of our collection, we have published two collections: a) a streaming keyword-centered data collection with more than 1.8 million tweets, and b) a historical account-level collection with more than 135 million tweets. In this paper we present descriptive analyses showing the volume of activity over time, geographical distributions, topics, news sources, and inferred accounts’ political leaning. CONCLUSIONS The vaccine-related misinformation on social media may exacerbate the levels of vaccine hesitancy, hampering the progress toward vaccine-induced herd immunity, and potentially increase infections related to new COVID-19 variants. For these reasons, understanding vaccine hesitancy through the lens of social media is of paramount importance. Since data access is the first obstacle to attain that, we publish the dataset that can be used in studying anti-vaccine misinformation on social media and enable a better understanding of vaccine hesitancy.

scholarly journals Network Analysis of COVID-19 Vaccine Misinformation on Social Media

2021 ◽  
Author(s):  
Chad Melton ◽  
Olufunto A. Olusanya ◽  
Arash Shaban-Nejad
Keyword(s):  
Social Media ◽  
Network Analysis ◽  
Semantic Network ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
World Population ◽  
Semantic Network Analysis ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Media Platform

Almost half of the world population has received at least one dose of vaccine against the COVID-19 virus. However, vaccine hesitancy amongst certain populations is driving new waves of infections at alarming rates. The popularity of online social media platforms attracts supporters of the anti-vaccination movement who spread misinformation about vaccine safety and effectiveness. We conducted a semantic network analysis to explore and analyze COVID-19 vaccine misinformation on the Reddit social media platform.

scholarly journals Beneficial or an unknown risk: Immunization hesitancy in Indian population

2021 ◽  
Vol 4 (2) ◽  
pp. 70-71
Author(s):  
Digjeet Kaur ◽  
Mahak Gera
Keyword(s):  
Public Health ◽  
Social Media ◽  
Virus Infection ◽  
Indian Population ◽  
Vaccine Hesitancy ◽  
Effective Vaccine ◽  
The Novel ◽  
Unknown Risk ◽  
Rapid Spread ◽  
People’S Perception

The most victorious intervention in field of Public Health is immunization. It prevents 2-3 million deaths every year from diseases like diphtheria, tetanus, pertussis, influenza, measles and currently to overcome the novel corona virus infection an effective vaccine is the most anticipated resolution. Despite the advancements and innovations in clinical research and healthcare, vaccine hesitancy is a threat globally. Social media has provided unmatched capacity for people to communicate but has also been a major tool for rapid spread of misconceptions and disingenuous information damaging to public health. This article aims to give an overview of vaccine hesitancy of various infectious diseases, people’s perception towards it, how social media has facilitated this movement and how to eliminate the misconception.

scholarly journals Lack of trust and social media echo chambers predict COVID-19 vaccine hesitancy

2021 ◽  
Author(s):  
Will Jennings ◽  
Gerry Stoker ◽  
Hannah Willis ◽  
Viktor Valgardsson ◽  
Jen Gaskell ◽  
...  
Keyword(s):  
Social Media ◽  
Focus Groups ◽  
Vaccine Development ◽  
Population Control ◽  
Herd Immunity ◽  
Vaccine Hesitancy ◽  
Media Impact ◽  
Media Companies ◽  
Nationally Representative ◽  
The Uk

AbstractAs COVID-19 vaccines are rolled out across the world, there are growing concerns about the role that trust, belief in conspiracy theories and spread of misinformation through social media impact vaccine hesitancy. We use a nationally representative survey of 1,476 adults in the UK between December 12 to 18, 2020 and five focus groups conducted in the same period. Trust is a core predictor, with distrust in vaccines in general and mistrust in government raising vaccine hesitancy. Trust in health institutions and experts and perceived personal threat are vital, with focus groups revealing that COVID-19 vaccine hesitancy is driven by a misunderstanding of herd immunity as providing protection, fear of rapid vaccine development and side effects, belief the virus is man- made and related to population control. Particularly those who obtain information from relatively unregulated social media sources such as YouTube that have recommendations tailored by watch history are less likely to be willing to become vaccinated. Those who hold general conspiratorial beliefs are less willing to be vaccinated. Since an increasing number of individuals use social media for gathering health information, interventions require action from governments, health officials and social media companies. More attention needs to help people understand their own risks, unpack complex concepts and fill knowledge voids.

scholarly journals A qualitative thematic analysis of ‘INFODEMIC: A Stanford Conference on Social Media, Ethics, and COVID-19 Misinformation’ (Preprint)

2021 ◽  
Author(s):  
Michael A. Gisondi ◽  
Daniel Chambers ◽  
Tatum Minh La ◽  
Alexa Ryan ◽  
Adyant Shankar ◽  
...  
Keyword(s):  
Social Media ◽  
Thematic Analysis ◽  
Best Practice ◽  
Vaccine Hesitancy ◽  
Primary Study ◽  
Media Ethics ◽  
The Public ◽  
Media Companies ◽  
Practice Recommendations ◽  
Qualitative Thematic Analysis

BACKGROUND The COVID-19 pandemic continues to challenge the world’s population, with approximately 266 million cases and 5 million deaths to date. COVID-19 misinformation and disinformation led to vaccine hesitancy among the public, particularly in vulnerable communities, which persists today. Social media companies are attempting to curb the ongoing spread of an overwhelming amount of COVID-19 misinformation on their platforms. In response to this problem, the authors hosted INFODEMIC: A Stanford Conference on Social Media and COVID-19 Misinformation (INFODEMIC) to develop best practices for social media companies to mitigate online misinformation and disinformation. OBJECTIVE The primary aim of this study was to develop recommendations for social media companies to address The COVID-19 Infodemic. The authors report the methods used to execute the INFODEMIC conference, conference attendee engagement and analytics, and a qualitative thematic analysis of the conference presentations. The primary study outcomes were the identified themes and corresponding recommendations. METHODS Using a constructivist paradigm, the authors conducted a thematic analysis of the 6-hour conference transcript to develop best practice recommendations. The INFODEMIC conference was the study intervention, the conference speakers were the study participants, and transcripts of their presentations were the data for this study. The authors followed the 6-step framework for thematic analysis described by Clark and Braun. They also used descriptive statistics to report measures of conference engagement including registrations, viewership, post-conference asynchronous participation, and conference evaluations. RESULTS A total of 26 participants spoke at the virtual conference and represented a wide array of occupations, expertise, and countries of origin. From their remarks, the authors identified 18 response categories and four themes: trust, equity, social media practices, and interorganizational partnerships. From these, a total of 16 best practice recommendations were formulated for social media companies, healthcare organizations, and the general public. These recommendations focused on rebuilding trust in science and medicine among certain communities, redesigning social media platforms and algorithms to reduce the spread of misinformation, improving partnerships between key stakeholders, and educating the public to critically analyze online information. Of the 1,090 conference registrants, 587 (54%) attended the live conference and another 9,996 individuals viewed or listened to the conference recordings asynchronously. Conference evaluations averaged 8.9 (best = 10). CONCLUSIONS Social media companies play a significant role in the The COVID-19 Infodemic and should adopt evidence-based measures to mitigate misinformation on their platforms.

scholarly journals No such thing as a free-rider? Understanding multicountry drivers of childhood and adult vaccination

2020 ◽  
Author(s):  
Frederik Verelst ◽  
Roselinde Kessels ◽  
Lander Willem ◽  
Philippe Beutels
Keyword(s):  
Vaccination Coverage ◽  
Peer Influence ◽  
Disease Burden ◽  
Herd Immunity ◽  
Free Rider ◽  
Vaccine Effectiveness ◽  
Vaccine Uptake ◽  
Vaccine Hesitancy ◽  
Vaccine Preventable Disease ◽  
Preventable Disease

AbstractBackgroundIncreased vaccine hesitancy and refusal negatively affects vaccine uptake leading to vaccine preventable disease reemergence. We aimed to quantify the relative importance of characteristics people consider when making vaccine decisions for themselves, or for their child, with specific attention for underlying motives arising from context, such as required effort (accessibility) and opportunism (free riding on herd immunity).MethodsWe documented attitudes towards vaccination and performed a discrete choice experiment in 4802 respondents in The United Kingdom, France and Belgium eliciting preferences for six attributes: (1) vaccine effectiveness, (2) vaccine preventable disease burden, (3) vaccine accessibility in terms of co-payment, vaccinator and administrative requirements, (4) frequency of mild vaccine-related side-effects, (5) vaccination coverage in the country’s population and (6) local vaccination coverage in personal networks. We distinguished adults deciding on vaccination for themselves (‘oneself’ group) from parents deciding for their youngest child (‘child’ group).ResultsWhile all six attributes were found to be significant, vaccine effectiveness and accessibility stand out in all (sub)samples, followed by vaccine preventable disease burden. We confirmed that people attach more value to severity of disease compared to its frequency and discovered that peer influence dominates free-rider motives, especially for the vaccination of children.ConclusionsThese behavioral data are insightful for policy and are essential to parameterize dynamic vaccination behavior in simulation models. In contrast to what most game theoretical models assume, social norms dominate free-rider incentives. Therefore policy-makers and healthcare workers should actively communicate on high vaccination coverage, and draw attention to the effectiveness of vaccines, while optimizing their practical accessibility.

scholarly journals Detection of Malicious Data in Twitter Using Machine Learning Approaches

2021 ◽  
Vol 12 (3) ◽  
pp. 4951-4958
Author(s):  
B.Mukunthan Et. al.
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Digital Media ◽  
Online Social Networks ◽  
Media Culture ◽  
Learning Approaches ◽  
Traditional Media ◽  
Misleading Information ◽  
Online Social Media ◽  
False News

: Unlike traditional media social media is populated by unknown individuals who can broadcast whatever they like. This online social media culture is dynamic in its nature and transition to digital media is becoming a trend among people. In upcoming years the use of traditional media will decline, and the increasing use of Online Social Networks(OSNs) blur the actual information of the traditional media. The information generated by the authentic users gives useful information to the general users, on the other hand,Spammers spread irrelevant or misleading information that makes social media a plot for false news. So unwanted text or vulnerable links can be distributed to specific users. These false texts are anonymous and sometimes linked with potential URLs. Due to data restrictions and communication categories, the current systems do not deserve an exact statistical classification for a piece of news. We will study different research papers using various techniques for master training in the prediction and detection of malicious data on social networks online. We tried to find spam tweets from the tweets collected by using Enhanced Random forest classifications and NaiveBayes in this research. To evaluate the work, different validation metrics such as F1-scoring, accurcy and precision values are calculated.

scholarly journals Lack of Trust, Conspiracy Beliefs, and Social Media Use Predict COVID-19 Vaccine Hesitancy

Vaccines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 593
Author(s):  
Will Jennings ◽  
Gerry Stoker ◽  
Hannah Bunting ◽  
Viktor Orri Valgarðsson ◽  
Jennifer Gaskell ◽  
...  
Keyword(s):  
Social Media ◽  
Focus Groups ◽  
Vaccine Development ◽  
Population Control ◽  
Herd Immunity ◽  
Vaccine Hesitancy ◽  
Media Companies ◽  
Conspiracy Beliefs ◽  
Nationally Representative ◽  
The Uk

As COVID-19 vaccines are rolled out across the world, there are growing concerns about the roles that trust, belief in conspiracy theories, and spread of misinformation through social media play in impacting vaccine hesitancy. We use a nationally representative survey of 1476 adults in the UK between 12 and 18 December 2020, along with 5 focus groups conducted during the same period. Trust is a core predictor, with distrust in vaccines in general and mistrust in government raising vaccine hesitancy. Trust in health institutions and experts and perceived personal threat are vital, with focus groups revealing that COVID-19 vaccine hesitancy is driven by a misunderstanding of herd immunity as providing protection, fear of rapid vaccine development and side effects, and beliefs that the virus is man-made and used for population control. In particular, those who obtain information from relatively unregulated social media sources—such as YouTube—that have recommendations tailored by watch history, and who hold general conspiratorial beliefs, are less willing to be vaccinated. Since an increasing number of individuals use social media for gathering health information, interventions require action from governments, health officials, and social media companies. More attention needs to be devoted to helping people understand their own risks, unpacking complex concepts, and filling knowledge voids.

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