[HTML][HTML] Artificial intelligence–enabled analysis of public attitudes on facebook and twitter toward covid-19 vaccines in the united kingdom and the united states …
Background Global efforts toward the development and deployment of a vaccine for COVID-
19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines …
19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines …
Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter
Correcting misconceptions and false beliefs are important for injecting reliable information
about COVID-19 into public discourse, but what impact does this have on the continued …
about COVID-19 into public discourse, but what impact does this have on the continued …
[HTML][HTML] Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review
Background Patient health data collected from a variety of nontraditional resources,
commonly referred to as real-world data, can be a key information source for health and …
commonly referred to as real-world data, can be a key information source for health and …
[HTML][HTML] Understanding public perceptions of COVID-19 contact tracing apps: Artificial intelligence–enabled social media analysis
Background The emergence of SARS-CoV-2 in late 2019 and its subsequent spread
worldwide continues to be a global health crisis. Many governments consider contact tracing …
worldwide continues to be a global health crisis. Many governments consider contact tracing …
Avoiding bias when inferring race using name-based approaches
Racial disparity in academia is a widely acknowledged problem. The quantitative
understanding of racial-based systemic inequalities is an important step towards a more …
understanding of racial-based systemic inequalities is an important step towards a more …
The untapped potential of mining news media events for understanding environmental change
K Buckingham, J Brandt, W Anderson… - Current Opinion in …, 2020 - Elsevier
Highlights•Computational social science provides a systematic way of studying online
interactions and traditional news media and text.•Social data generated from news media …
interactions and traditional news media and text.•Social data generated from news media …
Collaborative mobile learning with smartphones in higher education
K Zhampeissova, I Kosareva, U Borisova - 2020 - learntechlib.org
The advantages of mobile learning and the possibility of universal access to educational
materials have a downside in the form of a possible lack of communication between the …
materials have a downside in the form of a possible lack of communication between the …
Transboundary cooperation in Arctic climate change governance under geopolitical tensions
Y Guo, R Bai, T Hong - Journal of environmental management, 2024 - Elsevier
Political conflicts or geopolitical tensions can create uncertainty in addressing climate
change and environmental management in the Arctic. Dissecting how actors interact with …
change and environmental management in the Arctic. Dissecting how actors interact with …
Opportunities for artificial intelligence–enabled social media analysis of public attitudes toward Covid-19 vaccines
A Hussain, A Sheikh - NEJM Catalyst Innovations in Care Delivery, 2021 - catalyst.nejm.org
Artificial intelligence can enable real-time analysis of public attitudes, and their demographic
determinants, from social media and linked Web platforms. This analysis offers the …
determinants, from social media and linked Web platforms. This analysis offers the …
Artificial intelligence-enabled analysis of UK and US public attitudes on Facebook and Twitter towards COVID-19 vaccinations
Background Global efforts towards the development and deployment of a vaccine for SARS-
CoV-2 are rapidly advancing. We developed and applied an artificial-intelligence (AI)-based …
CoV-2 are rapidly advancing. We developed and applied an artificial-intelligence (AI)-based …