Over the last decade, online social networks have evolved into a global mainstream medium
with increasing social, organizational, and economic impact. This paper provides a …

Social networks have become another resource for supporting mental health specialists in
making inferences and finding indications of mental disorders, such as depression. This …

Emotions are an inseparable part of how people use social media. While a more cognitive
view on social media has initially dominated the research looking into areas such as …

Purpose This study aims to understand and a lay a foundation of how analytics has been
used in depression management, this study conducts a systematic literature review using …

There is limited systematic research examining the effects of two emotions same in certainty
but different in valence on perceived review helpfulness. In this paper, we synthesize …

Argument mining (AM) represents the unique use of natural language processing (NLP)
techniques to extract arguments from unstructured data automatically. Despite expanding on …

Can an information system like a social media app become addictive? Are there other
negative consequences of social media use, especially for minors? There is increasing …

This thesis summarizes three studies in the area of machine learning applications within
mental heathcare, specifically in the area of treatments and diagnostics. Mental healthcare …

The digital transformation process is a critical yet challenging endeavor in shaping the
digital future in the public health sector. It involves thousands of employees in the public …

Research collaboration has played an important role in scientific knowledge production for
centuries and is a major enabler for generating new insights that form the basis for …