This article offers a systematic analysis of 727 manuscripts that used Reddit as a data
source, published between 2010 and 2020. Our analysis reveals the increasing growth in …

This article aims to investigate the Grand Challenges which arise in the current and
emerging landscape of rapid technological evolution towards more intelligent interactive …

Recent work has demonstrated that increased training dataset diversity improves general
cross-domain knowledge and downstream generalization capability for large-scale …

This paper explores the important role of critical science, and in particular of post-colonial
and decolonial theories, in understanding and shaping the ongoing advances in artificial …

Qualitative research is necessary because it explores variables that are not predetermined
in social studies. This paper aims to present the definition, characteristics, and philosophical …

Egocentric network analysis is used widely across the social sciences, especially in
anthropology, political science, economics, and sociology, and is increasingly being …

Social computing systems such as Twitter present new research sites that have provided
billions of data points to researchers. However, the availability of public social media data …

Citizen science models of public participation in scientific research represent a growing area
of opportunity for health and biomedical research, as well as new impetus for more …

Over the past decade, scientists and ethicists began to feel that existing regulations for
oversight of human research did not align well with emerging practices and technologies …

The term Big Data is commonly used to describe a range of different concepts: from the
collection and aggregation of vast amounts of data, to a plethora of advanced digital …