Results 81 to 90 of about 6,982 (183)
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
Diversity &Inclusion Research, Volume 2, Issue 2, April 2025.
Jonathan Jose+3 more
wiley +1 more source
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]
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]
Nicholas Micallef+4 more
openalex +1 more source
Three contextual dimensions of information on social media: lessons learned from the COVID-19 infodemic [PDF]
Lavinia Marin
openalex +1 more source
Towards Combating Pandemic-related Misinformation in Social Media [PDF]
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
Infodemic in the Global Coronavirus Crisis [PDF]
Vahideh Zareh Gavgani
openalex +1 more source
Utilizing deep learning models for ternary classification in COVID-19 infodemic detection
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]
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