Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

The coronavirus pandemic illustrated how rapidly the global environment could be disrupted
on many levels but also drive an acceleration in others. Business leaders are grappling with …

Majority voting and averaging are common approaches used to resolve annotator
disagreements and derive single ground truth labels from multiple annotations. However …

A new way of thinking about data science and data ethics that is informed by the ideas of
intersectional feminism. Today, data science is a form of power. It has been used to expose …

The present study is grounded in social exchange theory and resource exchange theory. By
exploring customers' satisfaction with chatbot services and their social media engagement, it …

In the past few years, expenditure on influencer marketing has grown exponentially. The
present study involves preliminary research to understand the mechanism by which …

Behavioral researchers are increasingly conducting their studies online, to gain access to
large and diverse samples that would be difficult to get in a laboratory environment …

Over the past 2 decades, many social scientists have expanded their data-collection
capabilities by using various online research tools. In the 2011 article “Amazon's Mechanical …

Research in machine learning (ML) has argued that models trained on incomplete or biased
datasets can lead to discriminatory outputs. In this commentary, we propose moving the …

Gig economy platforms seem to provide extreme temporal flexibility to workers, giving them
full control over how to spend each hour and minute of the day. What constraints do workers …