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The Impact of Linguistic Signals on Cognitive Change in Support Seekers in Online Mental Health Communities: Text Analysis and Empirical Study.
J Med Internet Res
January 2025
School of Management, Hefei University of Technology, Hefei, China.
Background: In online mental health communities, the interactions among members can significantly reduce their psychological distress and enhance their mental well-being. The overall quality of support from others varies due to differences in people's capacities to help others. This results in some support seekers' needs being met, while others remain unresolved.
View Article and Find Full Text PDFHominin cognition: The null hypothesis.
Behav Brain Sci
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Department of Anthropology, Durham University, Durham,
The target article explores material culture datasets from three African forager groups. After demonstrating that these modern, contemporary human populations would leave scant evidence of symbolic behaviour or material complexity, it cautioned against using material culture as a barometer for human cognition in the deep past. Twenty-one commentaries broadly support or expand these conclusions.
View Article and Find Full Text PDFCOVID-19 pediatric vaccine Hesitancy: Themes and interactions with verified twitter accounts.
Vaccine
January 2025
Global Health Program, Department of Anthropology, University of California San Diego, San Diego, CA, USA; Global Health Policy and Data Institute, San Diego, CA, USA; S-3 Research, San Diego, CA, USA. Electronic address:
Background: Though vaccine hesitancy and misinformation has been pervasive online, via platforms such as Twitter, little is known about the characteristics of pediatric-specific vaccine hesitancy and how online users interact with verified user accounts that may hold larger influence. Identifying specific COVID-19 pediatric vaccine hesitancy themes and online user interaction and sentiment may help inform health promotion that addresses vaccine hesitancy more effectively among parents and caregivers of pediatric populations.
Methods: Keywords were used to query the public streaming twitter application programming interface to collect tweets associated with COVID-19 pediatric vaccines.
Letter: Identifying the Best Model for Predicting Post-SVR HCC-Authors' Reply.
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Egyptian Liver Research Institute and Hospital (ELRIAH), Mansoura, Egypt.
A thematic analysis of UK COVID-19 vaccine hesitancy discussions on Twitter.
BMC Public Health
January 2025
Department of Applied Health Sciences and Institute for Mental Health, University of Birmingham, Birmingham, UK.
Background: Following UK approval of the Pfizer-BioNTech and Oxford-AstraZeneca vaccines on 2/12/20 and 30/12/20 respectively, discussions about them emerged on the social media platform Twitter, (now 'X'). Previous research has shown that Twitter/ X is used by the UK public to engage with public health announcements and that social media influences public opinions of vaccines, including COVID-19 vaccines, globally. This study explored discussions on Twitter posted in response to the UK government's posts introducing the Pfizer-BioNTech and Oxford-AstraZeneca vaccines.
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