Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

Developing and testing more effective health-related behavioral interventions is critical to
making progress in improving disease prevention and treatment. One way to achieve this …

We test whether large language models (LLMs) can be used to simulate human participants
in social-science studies. To do this, we ran replications of 14 studies from the Many Labs 2 …

Despite the impressive predictive performance exhibited by deep learning across various
domains, its application in research models within the social and behavioral sciences has …

Automated sentiment analysis can help efficiently detect trends in patients' moods,
consumer preferences, political attitudes and more. Unfortunately, like many natural …

Artificial Intelligence (AI) transforms the social sciences by providing new methodologies
and tools for data analysis. This article was based on a comprehensive literature review that …

Teknolojinin gelişimi ile birlikte sosyal bilimler alanında çalışan araştırmacılara sunulan araç
ve tekniklerin sayısı artmaktadır. Büyük hacimli verilerin araştırmalara kolaylıkla entegre …

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data
analytics for social science. It features applications in the R language, arguably the fastest …

Objective This scoping review systematically examined the applied family science literature
involving families raising young children to understand how relevant studies have applied …

ДА Китова, АЛ Журавлев ния больших объемов данных (и их обработки), а при
подключении к международной сети интернет создает дополнительную возможность …