Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment

Electronics, Год журнала: 2024, Номер 13(22), С. 4352 - 4352

Опубликована: Ноя. 6, 2024

Fake news is one of the biggest challenging issues in today’s technological world and has a huge impact on population’s decision-making way thinking. Disinformation can be classified as subdivision fake news, main purpose which to manipulate generate confusion among people order influence their opinion obtain certain advantages multiple domains (politics, economics, etc.). Propaganda, rumors, conspiracy theories are just few examples common disinformation. Therefore, there an urgent need understand this phenomenon offer scientific community paper that provides comprehensive examination existing literature, lay foundation for future research areas, contribute fight against The present manuscript detailed bibliometric analysis articles oriented towards disinformation detection, involving high-performance machine learning deep algorithms. dataset been collected from popular Web Science database, through use specific keywords such “disinformation”, “machine learning”, or “deep followed by manual check papers included dataset. documents were examined using R tool, Biblioshiny 4.2.0; perspectives various facets: overview, sources, authors, papers, n-gram analysis, mixed analysis. results highlight increased interest topics context learning, supported annual growth rate 96.1%. insights gained bring light surprising details, while study solid basis both area, well development new strategies addressing complex issue ensuring trustworthy safe online environment.

Язык: Английский

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Attitudes to Malaria Vaccination in Children: What Can Be Learned from Their Consistency with the Temporal Dynamics of COVID-19 Vaccination Intention? A Prospective Cohort Study in Rural Senegal (July 2020-November 2023)

Опубликована: Янв. 1, 2025

Background: Several Sub-Saharan African countries are launching malaria vaccination programs for children. We assessed how attitudes to children could be better understood by considering the individual dynamics of COVID-19 intention/uptake over 2021-2023 campaigns, with a view highlighting barriers likely affect vaccine uptake.

Язык: Английский

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Mapping the terrain of social media misinformation: A scientometric exploration of global research

Acta Psychologica, Год журнала: 2025, Номер 252, С. 104691 - 104691

Опубликована: Янв. 7, 2025

Язык: Английский

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Sosyal Medyada Dezenformasyon Kavramına Bibliyometrik Bir Bakış

Erciyes İletişim Dergisi, Год журнала: 2025, Номер 12(1), С. 115 - 138

Опубликована: Янв. 30, 2025

Sosyal medyanın yaş, zaman ve mekân sınırı olmadan herkes tarafından kullanılması, insanların bilgi paylaşmasını değiş tokuş etmesini kolaylaştırmakta ancak yalan haber, dezenformasyon gibi bozukluklarının artmasına da neden olmaktadır. medyada haber (fake news) konularında yapılan akademik yayınların, bu alandaki genel eğilimleri bakış açılarını kapsamlı bir şekilde ortaya koyabilmeyi amaçlayan çalışmada, bibliyometrik analiz kullanılmıştır. 2015-2024 yılları arasında WoS’ta taranan hakemli dergilerde yayınlanan, 490 makale VOSviewer programıyla, alan, yıl, yazar, indeks, dergi, ülke, dil, atıf anahtar sözcük kriterlerine göre incelenmiştir. Bu makalelerin yarısından fazlası (%55,10) Social Sciences Citation Index (SSCI)’te yer alan makalelere aittir. Amerika Birleşik Devletleri, 180 ile en fazla yayını yapan ülkedir. Makalelerde konuların başında, %65,30 iletişim gelmektedir. medya konusunda yayınlayan dergi ise 12 Journal of Medical Internet Research isimli dergidir. Ele alınan makalelerde “sosyal (280)”, “fake news (162) “ve “yanlış bilgi(misinformatin) (160)” kullanılan kelimelerdir.

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Social Media Use and Oral Health–Related Misconceptions in Saudi Arabia: Cross-Sectional Study

JMIR Formative Research, Год журнала: 2025, Номер 9, С. e70071 - e70071

Опубликована: Фев. 10, 2025

Background Social media has become a central tool in health communication, offering both opportunities and challenges. In Saudi Arabia, where platforms like WhatsApp, Snapchat, Instagram are widely used, the quality credibility of oral information shared digitally remain critical issues. Misconceptions about can negatively influence individuals’ behaviors outcomes. Objective This study aimed to describe patterns social use estimate prevalence health–related misconceptions among adults Arabia. Additionally, it assessed associations between engagement with information, self-reported health, presence count these misconceptions. Methods A cross-sectional survey was conducted over 10 weeks, targeting aged 15 years older Data were collected from total sample size (n=387) via questionnaire distributed through targeted advertisements on Instagram, TikTok, X (Twitter). The estimated using descriptive statistics, including counts percentages. Chi-square tests described sociodemographic, engagement, health. Logistic Poisson regression analyses used assess models provided odds ratios adjusted 95% CI calculate mean (AMRs) for Results WhatsApp (n=344, 89.8%) (n=304, 78.9%) most frequently daily. Common included beliefs that “Pregnancy causes calcium loss teeth” (n=337, 87%) “Dental treatment should be avoided during pregnancy” (n=245, 63.3%). Following dental-specific accounts significantly associated lower having any (adjusted ratio 0.41, 0.22-0.78) (AMR 0.87, 0.77-0.98). Conversely, trust as source higher 1.16, 1.02-1.31). Conclusions essential yet double-edged tools dissemination Participants who followed had misconceptions, while linked These findings highlight importance promoting credible content verified sources combat Strategic collaborations dental professionals necessary enhance accurate public awareness reduce

Язык: Английский

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Evaluation of Douyin Short Videos on Mammography in China: Quality and Reliability Analysis

JMIR Cancer, Год журнала: 2025, Номер 11, С. e59483 - e59483

Опубликована: Фев. 19, 2025

Abstract Background Breast cancer is the most common malignant tumor and fifth leading cause of death worldwide, imposing a significant disease burden in China. Mammography key method for breast screening, particularly early diagnosis. Douyin, popular social media platform, increasingly used sharing health information, but quality reliability mammography-related videos remain unexamined. Objective This study aimed to evaluate information mammography on Douyin. Methods In October 2023, search using Chinese keywords “mammography” “mammography screening” was conducted From 200 retrieved videos, 136 were selected analysis. Basic video content, sources extracted. Video content assessed comprehensiveness across 7 categories: conception, examination process, applicable objects, precautions, combined examinations, advantages, report. Completeness evaluated researcher-developed checklist, while measured 2 modified DISCERN (mDISCERN) tool Global Quality Score (GQS). Correlations between characteristics also examined. Results Among sources, 82.4% (112/136) attributed professionals, 17.6% (24/136) nonprofessionals. only 1 radiologist. Overall, 77.2% (105/136) had useful about mammography. advantages frequently covered topic (53/105, 50.5%). Median values mDISCERN GQS evaluations all stood at 2.5 (IQR 1.63‐3) 1‐2), respectively. Within subgroup assessment, median score among professional groups 2‐3) 3 2‐3), respectively, surpassing corresponding unhelpful nonprofessional 0 0‐0) 0‐0.75; P <.001). Likewise, 1.5‐2) eclipsing that 1‐1) 1‐1.37; The weak negatively correlated with number likes ( r =−0.24; =.004), comments =−0.29; <.001), saves =−0.20; =.02). =−0.26; =.002), =−0.36; =−0.22; =.009), shares =−0.18; =.03). Conclusions overall Douyin suboptimal, uploaded by clinicians rather than radiologists. Radiologists should be encouraged create accurate informative better educate patients. As grows as stricter publishing standards are needed enhance medical content.

Язык: Английский

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The Role of AI-Based Chatbots in Public Health Emergencies: A Narrative Review

Future Internet, Год журнала: 2025, Номер 17(4), С. 145 - 145

Опубликована: Март 26, 2025

The rapid emergence of infectious disease outbreaks has underscored the urgent need for effective communication tools to manage public health crises. Artificial Intelligence (AI)-based chatbots have become increasingly important in these situations, serving as critical resources provide immediate and reliable information. This review examines role AI-based emergencies, particularly during outbreaks. By providing real-time responses inquiries, help disseminate accurate information, correct misinformation, reduce anxiety. Furthermore, AI play a vital supporting healthcare systems by triaging offering guidance on symptoms preventive measures, directing users appropriate services. not only enhances access information but also helps alleviate workload professionals, allowing them focus more complex tasks. However, implementation is without challenges. Issues such accuracy user trust, ethical considerations regarding data privacy are factors that be addressed optimize their effectiveness. Additionally, adaptability rapidly evolving scenarios essential sustained relevance. Despite challenges, potential AI-driven transform emergencies significant. highlights importance continuous development integration into strategies enhance preparedness response efforts Their accessible, accurate, timely makes indispensable modern emergency management.

Язык: Английский

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Managing epidemics in the digital age: the crucial role of social media in information dissemination

Pathogens and Global Health, Год журнала: 2025, Номер unknown, С. 1 - 7

Опубликована: Апрель 15, 2025

Язык: Английский

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eHealth literacy and online health information-seeking behaviors on COVID-19 in Japan: An Internet-based mixed methods study (Preprint)

Journal of Medical Internet Research, Год журнала: 2024, Номер 26, С. e57842 - e57842

Опубликована: Май 29, 2024

Background During the COVID-19 pandemic, much misinformation and disinformation emerged spread rapidly via internet, posing a severe public health challenge. While need for eHealth literacy (eHL) has been emphasized, few studies have compared difficulties involved in seeking using information between adult internet users with low or high eHL. Objective This study examines association eHL web-based information–seeking behaviors among Japanese users. Moreover, this qualitatively shed light on encountered examined its relationship Methods cross-sectional internet-based survey (October 2021) collected data from 6000 who were equally divided into sample groups by gender, age, income. We used version of Scale (eHEALS). also Digital Health Literacy Instrument (DHLI) adapted to pandemic assess after we translated it Japanese. Web-based assessed 10-item list web sources evaluating 10 topics participants searched regarding COVID-19. Sociodemographic other factors (eg, health-related behavior) selected as covariates. Furthermore, explored using. The descriptive contents responses analyzed an inductive qualitative content analysis approach. Results Participants eHEALS DHLI scores searching, adding self-generated information, reliability, determining relevance, operational skills more likely use all about than those scores. However, there negative associations navigation privacy protection when several sources, such YouTube (Google LLC), search information. half reported no difficulty any difficulties, including discernment, incomprehensible overload, disinformation, had lower score. expressed significant concerns “information quality credibility,” “abundance shortage relevant information,” “public trust skepticism,” “credibility COVID-19–related information.” Additionally, they disclosed specific concerns, “privacy security concerns,” retrieval challenges,” “anxieties panic,” “movement restriction.” Conclusions Although higher total actively various cautiously proficiency. highlighted increased discernment social networking sites “Health 2.0” era. identified categories themes analysis, suggest framework addressing myriad challenges anticipated future infodemics.

Язык: Английский

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Qualitative research on undergraduate nursing students' recognition and response to short videos’ health disinformation

Heliyon, Год журнала: 2024, Номер 10(15), С. e35455 - e35455

Опубликована: Июль 31, 2024

With the popularity of internet, short videos have become an indispensable tool to obtain health information. However, avoiding disinformation owing openness Internet is difficult for users. Disinformation may endanger and lives

Язык: Английский

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