Understanding the consequences of homophily, which is among the most widely observed social phenomena, is important, with implications for management theory and practice …
The authors analyzed data from multiple large-scale randomized experiments on LinkedIn's People You May Know algorithm, which recommends new connections to LinkedIn …
Abstract The coronavirus disease 2019 (COVID-19) pandemic caused a rapid shift to full- time remote work for many information workers. Viewing this shift as a natural experiment in …
M Shafi, J Liu, W Ren - Research in Globalization, 2020 - Elsevier
The outbreak of coronavirus disease (COVID-19) has severely affected the global and Pakistani economy. Major victims of the COVID-19 outbreak are micro, small, and medium …
Graph representation learning has emerged as a powerful technique for addressing real- world problems. Various downstream graph learning tasks have benefited from its recent …
Echo chambers and filter bubbles are potent metaphors that encapsulate widespread public fear that the use of social media may limit the information that users encounter or consume …
The widespread implementation of algorithmic technologies in organizations prompts questions about how algorithms may reshape organizational control. We use perspective of …
Social distancing and isolation have been widely introduced to counter the COVID-19 pandemic. Adverse social, psychological and economic consequences of a complete or …