Results 81 to 90 of about 6,982 (183)

İNFODEMİ OKURYAZARLIĞININ ÖNEMİ VE SALGIN İLETİŞİMİ YÖNETİMİNDEKİ ROLÜ ÜZERİNE ARGÜMANTATİF BİR YAKLAŞIM

open access: yesDokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
ÖZ: Yakın geçmiş, bir salgın sırasında ortaya çıkan, dijital ve fiziksel ortamlarda hızla yayılarak insanların ihtiyaç duyduğunda güvenilir bilgi kaynaklarına erişimini zorlaştıran, bazıları doğru, bazıları ise yanlış içeriklerden oluşan bilgi bolluğu ...
Sema ÇAĞLAYAN, Nihal PAŞALI TAŞOĞLU
doaj   +1 more source

Social Media Disinformation Reinforces Structural Racism in the Latino/a Community

open access: yes
Diversity &Inclusion Research, Volume 2, Issue 2, April 2025.
Jonathan Jose   +3 more
wiley   +1 more source

Real‐world predictors of severe psychological distress during the COVID‐19 pandemic in Japan: Insights from a large‐scale internet‐based cohort study

open access: yesNeuropsychopharmacology Reports, Volume 44, Issue 4, Page 798-808, December 2024.
This study revealed that being afflicted with COVID‐19 and requiring oxygen therapy is the most significant predictor of severe psychological distress. In addition, we found that vulnerability to social isolation, such as never being unmarried, anxiety toward COVID‐19, and susceptibility to stress, are predictors of the emergence of severe ...
Keita Tokumitsu   +3 more
wiley   +1 more source

Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics [PDF]

open access: hybrid, 2020
Riccardo Gallotti   +4 more
openalex   +1 more source

The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic [PDF]

open access: green, 2020
Nicholas Micallef   +4 more
openalex   +1 more source

Towards Combating Pandemic-related Misinformation in Social Media [PDF]

open access: yesarXiv, 2020
Conventional preventive measures during pandemic include social distancing and lockdown. Such measures in the time of social media brought about a new set of challenges - vulnerability to the toxic impact of online misinformation is high. A case in point is the prevailing COVID-19; as the virus propagates, so does the associated misinformation and fake
arxiv  

Utilizing deep learning models for ternary classification in COVID-19 infodemic detection

open access: yesDigital Health
Objective To address the complexities of distinguishing truth from falsehood in the context of the COVID-19 infodemic, this paper focuses on utilizing deep learning models for infodemic ternary classification detection.
Jia Luo, Didier El Baz, Lei Shi
doaj   +1 more source

Modelling Infodemics on a Global Scale: A 30 Countries Study using Epidemiological and Social Listening Data [PDF]

open access: yesarXiv
Infodemics are a threat to public health, arising from multiple interacting phenomena occurring both online and offline. The continuous feedback loops between the digital information ecosystem and offline contingencies make infodemics particularly challenging to define operationally, measure, and eventually model in quantitative terms.
arxiv  

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