Text preprocessing for text mining in organizational research: Review and recommendations
Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …
voluminous natural language text data created by organizations, their employees, and their …
Data-driven computational social science: A survey
Social science concerns issues on individuals, relationships, and the whole society. The
complexity of research topics in social science makes it the amalgamation of multiple …
complexity of research topics in social science makes it the amalgamation of multiple …
[HTML][HTML] Fear of missing out (FoMO) and rumination mediate relations between social anxiety and problematic Facebook use
AE Dempsey, KD O'Brien, MF Tiamiyu… - Addictive behaviors …, 2019 - Elsevier
Introduction Prior research has found that psychopathology constructs such as depression
and anxiety are associated with problematic use of Facebook (PFU). In the present study, we …
and anxiety are associated with problematic use of Facebook (PFU). In the present study, we …
Assessment of street space quality and subjective well-being mismatch and its impact, using multi-source big data
This study makes initial efforts by delineating the distribution map of the mismatch between
street space quality and SWB in central Qingdao through machine learning approaches …
street space quality and SWB in central Qingdao through machine learning approaches …
Can I sustain my happiness? A review, critique and research agenda for economics of happiness
M Jain, GD Sharma, M Mahendru - Sustainability, 2019 - mdpi.com
Human beings want to live in a state of happiness and prosperity, but happiness is important
not just for the well-being of individuals but for the well-being of society. To ensure the …
not just for the well-being of individuals but for the well-being of society. To ensure the …
Using big data to study subjective well-being
M Luhmann - Current opinion in behavioral sciences, 2017 - Elsevier
Highlights•Reviews how Big Data are used to measure, study, and change subjective well-
being (SWB).•The most popular measurement approach is the analysis of language patterns …
being (SWB).•The most popular measurement approach is the analysis of language patterns …
The minute-scale dynamics of online emotions reveal the effects of affect labeling
Putting one's feelings into words (also called affect labeling) can attenuate positive and
negative emotions. Here, we track the evolution of specific emotions for 74,487 Twitter users …
negative emotions. Here, we track the evolution of specific emotions for 74,487 Twitter users …
Worker well-being: What it is, and how it should be measured
Worker well-being is a hot topic in organizations, consultancy and academia. However, too
often, the buzz about worker well-being, enthusiasm for new programs to promote it and …
often, the buzz about worker well-being, enthusiasm for new programs to promote it and …
Spatial and social media data analytics of housing prices in Shenzhen, China
Housing is among the most pressing issues in urban China and has received considerable
scholarly attention. Researchers have primarily concentrated on identifying the factors that …
scholarly attention. Researchers have primarily concentrated on identifying the factors that …
The association of relationship quality and social networks with depression, anxiety, and suicidal ideation among older married adults: Findings from a cross-sectional …
Background Important associations have been found between social relationships and
various mental health outcomes. However, limited data exists for these associations among …
various mental health outcomes. However, limited data exists for these associations among …