Presents GIM model with conductance and influence-capital mechanisms that outperforms baselines, corrects follower-count bias, and finds non-experts exert higher influence than experts on COVID-19 Twitter with higher misinformation spread.
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DPText learns text representations that are differentially private, free of private attributes, and retain utility for NLP tasks.
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Conductance and Influence-Capital: Modeling Online Social Influence
Presents GIM model with conductance and influence-capital mechanisms that outperforms baselines, corrects follower-count bias, and finds non-experts exert higher influence than experts on COVID-19 Twitter with higher misinformation spread.
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I Am Not What I Write: Privacy Preserving Text Representation Learning
DPText learns text representations that are differentially private, free of private attributes, and retain utility for NLP tasks.