Storytelling and/as Misinformation DOI
Kate McDowell

Cambridge University Press eBooks, Год журнала: 2025, Номер unknown, С. 18 - 40

Опубликована: Март 13, 2025

Язык: Английский

A survey of COVID-19 vaccine acceptance across 23 countries in 2022 DOI Open Access
Jeffrey V. Lazarus, Katarzyna Wyka, Trenton M. White

и другие.

Nature Medicine, Год журнала: 2023, Номер 29(2), С. 366 - 375

Опубликована: Янв. 9, 2023

Язык: Английский

Процитировано

287

Health literacy as a social vaccine in the COVID-19 pandemic DOI Open Access
Orkan Okan, Melanie Messer, Diane Levin‐Zamir

и другие.

Health Promotion International, Год журнала: 2021, Номер 38(4)

Опубликована: Дек. 7, 2021

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus in the family, causing disease (COVID-19). Biomedical vaccines are key but alongside biomedical vaccines, social vaccine can be similarly useful to prevent infection from SARS-CoV-2, if applied as health promotion strategy. In order slow down and control spread of applying concept should considered parallel. From perspective, process political mobilization driven by governmental non-governmental organizations aiming at populations interventions such communication, education mass media campaigns well determinant-based programs address environmental factors influencing personal behavior community capacities cope with overcome societal burdens COVID-19. this context, literacy significant, seen role it plays empowering citizens during COVID-19 pandemic enabling them deal information considering As public strategy, will enable individuals communities mitigate understanding provided through governments authorities. aim article explore promising opportunity utilize vaccination thus approach-both bottom-up top-down-to support combat future states emergency.

Язык: Английский

Процитировано

106

WHO competency framework for health authorities and institutions to manage infodemics: its development and features DOI Creative Commons
Sara Rubinelli, Tina D. Purnat, Elisabeth Wilhelm

и другие.

Human Resources for Health, Год журнала: 2022, Номер 20(1)

Опубликована: Май 7, 2022

Abstract Background In April 2020, the World Health Organization (WHO) Information Network for Epidemics produced an agenda managing COVID-19 infodemic. “Infodemic” refers to overabundance of information—including mis- and disinformation. this it was pointed out need create a competency framework infodemic management (IM). This released by WHO on 20th September 2021. paper presents IM highlighting different investigative steps behind its development. Methods The built through three steps. Step 1 included preparatory work following guidelines in Guide writing Competency Framework Academy courses. 2 based qualitative study with participants ( N = 25), identified worldwide basis their academic background relevant fields or professional experience activities at institutional level. interviews were conducted online between December 2020 January 2021, they video-recorded analyzed using thematic analysis. 3, two stakeholder panels revise framework. Results contains four primary domains, each which comprised main activities, related tasks, knowledge skills. It identifies competencies manage monitor infodemics, design, conduct evaluate appropriate interventions, as well strengthen health systems. Its purpose is assist institutions reinforcing capacities implementing effective processes actions according individual contexts resources. Conclusion not intended be regulatory document nor training curriculum. As initiative, serves reference tool applied local priorities needs within countries. can strengthening capacity hiring, staff development, human resources planning.

Язык: Английский

Процитировано

47

Measuring the Burden of Infodemics: Summary of the Methods and Results of the Fifth WHO Infodemic Management Conference DOI Creative Commons
Elisabeth Wilhelm, Isabella Ballalai, Marie‐Ève Bélanger

и другие.

JMIR Infodemiology, Год журнала: 2023, Номер 3, С. e44207 - e44207

Опубликована: Янв. 26, 2023

An infodemic is excess information, including false or misleading that spreads in digital and physical environments during a public health emergency. The COVID-19 pandemic has been accompanied by an unprecedented global led to confusion about the benefits of medical interventions, with substantial impact on risk-taking health-seeking behaviors, eroding trust authorities compromising effectiveness responses policies. Standardized measures are needed quantify harmful impacts systematic methodologically robust manner, as well harmonizing highly divergent approaches currently explored for this purpose. This can serve foundation systematic, evidence-based approach monitoring, identifying, mitigating future harms emergency preparedness prevention. In paper, we summarize Fifth World Health Organization (WHO) Infodemic Management Conference structure, proceedings, outcomes, proposed actions seeking identify interdisciplinary frameworks enable measurement burden infodemics. iterative human-centered design (HCD) concept mapping were used facilitate focused discussions allow generation actionable outcomes recommendations. included 86 participants representing diverse scientific disciplines from 28 countries across all WHO regions, along observers civil society health-implementing partners. A thematic map capturing concepts matching key contributing factors infodemics was throughout conference frame contextualize discussions. Five areas immediate action identified. 5 development metrics assess associated interventions (1) developing standardized definitions ensuring adoption thereof; (2) improving influencing infodemics; (3) conducting review evidence, tools, data sources; (4) setting up technical working group; (5) addressing priorities postpandemic recovery resilience building. summary report consolidated group input toward common vocabulary terms, concepts, study designs, measures, tools estimate management interventions. Standardizing basis documenting systems population emergencies. Investment into practical, affordable, evidence-based, methods legally ethically balanced monitoring generating diagnostics, insights, recommendations; action-oriented guidance, policies, support options, mechanisms, managers program managers.

Язык: Английский

Процитировано

34

Beyond misinformation: developing a public health prevention framework for managing information ecosystems DOI Creative Commons
Atsuyoshi Ishizumi, Jessica Kolis, Neetu Abad

и другие.

The Lancet Public Health, Год журнала: 2024, Номер 9(6), С. e397 - e406

Опубликована: Апрель 20, 2024

The COVID-19 pandemic has highlighted how infodemics (defined as an overabundance of information, including misinformation and disinformation) pose a threat to public health could hinder individuals from making informed decisions. Although authorities other stakeholders have implemented measures for managing infodemics, existing frameworks infodemic management been primarily focused on responding acute emergencies rather than integrated in routine service delivery. We review the evidence propose framework that encompasses upstream strategies provides guidance identifying different interventions, by four levels prevention health: primary, secondary, tertiary, primordial prevention. On basis narrative 54 documents (peer-reviewed grey literature published 1961 2023), we present examples interventions belong each level Adopting this requires proactive response through information ecosystems, beyond reacting or disinformation.

Язык: Английский

Процитировано

11

Ethical Concerns About ChatGPT in Healthcare: A Useful Tool or the Tombstone of Original and Reflective Thinking? DOI Open Access

Marina Z Kapsali,

Efstratios Livanis,

Christos Tsalikidis

и другие.

Cureus, Год журнала: 2024, Номер unknown

Опубликована: Фев. 23, 2024

Artificial intelligence (AI), the uprising technology of computer science aiming to create digital systems with human behavior and intelligence, seems have invaded almost every field modern life. Launched in November 2022, ChatGPT (Chat Generative Pre-trained Transformer) is a textual AI application capable creating human-like responses characterized by original language high coherence. Although AI-based models demonstrated impressive capabilities healthcare, has received controversial annotations from scientific academic communities. This chatbot already appears massive impact as an educational tool for healthcare professionals transformative potential clinical practice could lead dramatic changes research. Nevertheless, rational concerns were raised regarding whether pre-trained, AI-generated text would be menace not only thinking new ideas but also research integrity, it gets more difficult distinguish its origin due coherence fluency produced text. short review aims summarize applications consequential implications three critical pillars medicine: education, research, practice. In addition, this paper discusses current use compliance ethical principles safe determined World Health Organization. Finally, highlights need updated framework increased vigilance stakeholders harvest benefits limit imminent dangers innovative technology.

Язык: Английский

Процитировано

10

Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study DOI Creative Commons
Annika Molenaar, Dickson Lukose, Linda Brennan

и другие.

Journal of Medical Internet Research, Год журнала: 2024, Номер 26, С. e47826 - e47826

Опубликована: Март 21, 2024

Background Social media has the potential to be of great value in understanding patterns public health using large-scale analysis approaches (eg, data science and natural language processing [NLP]), 2 which have been used health: sentiment topic modeling; however, their use area food security nutrition is limited. Objective This study aims explore NLP tools gather insights from real-world social on issue security. Methods A search strategy for obtaining tweets was developed terms. Tweets were collected Twitter application programming interface January 1, 2019, December 31, 2021, filtered Australia-based users only. Sentiment performed Valence Aware Dictionary Reasoner. Topic modeling exploring content conducted latent Dirichlet allocation with BigML (BigML, Inc). Sentiment, topic, engagement (the sum likes, retweets, quotations, replies) compared across years. Results In total, 38,070 14,880 users. Overall, when discussing positive, although this varied 3 Positive remained higher during COVID-19 lockdown periods Australia. The model contained 10 topics (in order highest lowest probability set): “Global production,” “Food insecurity health,” “Use banks,” “Giving “Family poverty,” relief provision,” insecurity,” “Climate change,” “Australian “Human rights.” focused support donation, had proportion positive sentiment, covered prevalence worldwide, negative sentiment. When news, there some events, such as payment introduction bushfires Australia, that associated high or Topics related prevalence, poverty, Australia not consistently more prominent pandemic than before pandemic. Negative received substantially 2019 2020. There no clear relationship between likely lower engagement, indicating identified are discrete issues. Conclusions study, we demonstrated evolution conversations data. Future requires context interpretation by experts broader sets, track dimensions events inform evidence-based decision-making area.

Язык: Английский

Процитировано

10

Intervening on Trust in Science to Reduce Belief in COVID-19 Misinformation and Increase COVID-19 Preventive Behavioral Intentions: Randomized Controlled Trial DOI Creative Commons
Jon Agley, Yunyu Xiao, Esi E. Thompson

и другие.

Journal of Medical Internet Research, Год журнала: 2021, Номер 23(10), С. e32425 - e32425

Опубликована: Сен. 28, 2021

Trust in science meaningfully contributes to our understanding of people's belief misinformation and their intentions take actions prevent COVID-19. However, no experimental research has sought intervene on this variable develop a scalable response the COVID-19 infodemic.

Язык: Английский

Процитировано

43

Testing the Efficacy of Attitudinal Inoculation Videos to Enhance COVID-19 Vaccine Acceptance: Quasi-Experimental Intervention Trial DOI Creative Commons
Rachael Piltch‐Loeb,

Max Su,

Brian Hughes

и другие.

JMIR Public Health and Surveillance, Год журнала: 2022, Номер 8(6), С. e34615 - e34615

Опубликована: Апрель 27, 2022

Over the course of COVID-19 pandemic, a variety COVID-19-related misinformation has spread and been amplified online. The can influence beliefs protective actions, including vaccine hesitancy. Belief in is associated with lower vaccination rates higher resistance. Attitudinal inoculation preventative approach to combating disinformation, which leverages power narrative, rhetoric, values, emotion.This study seeks test messages form short video promote resistance against persuasion by misinformation.We designed series 30-second videos conducted quasi-experimental use attitudinal population individuals who were unvaccinated (N=1991). 3 intervention distinguished their script design, 1 focusing on narrative/rhetorical ("Narrative") presentation information, 2 delivering fact-based information ("Fact"), using hybrid design ("Hybrid"). Analysis covariance (ANCOVA) models used compare main effect outcome variables: ability recognize tactics ("Recognize"), willingness share ("Share"), take ("Willingness").There significant effects across all variables comparing groups controls. For Recognize outcome, rhetorical strategies, there was group (P<.001). Share support for sharing mis- statistically (P=.02). Willingness effect; more willing get compared controls (P=.01).Across groups, inoculated showed greater than noninoculated counterparts. Relative those not inoculated, participants significantly identify strategies misinformation, less likely false had vaccine. delivered through should be tested public health messaging campaigns counter disinformation.

Язык: Английский

Процитировано

29

Managing Infodemics in the 21st Century DOI Creative Commons
Tina D. Purnat, Tim Nguyen, Sylvie Briand

и другие.

Springer eBooks, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

Язык: Английский

Процитировано

21