2019.06.02 Society papers

05-29-2019	Defending Against Neural Fake News by Rowan Zellers et al
05-29-2019	Automatically Dismantling Online Dating Fraud by Guillermo Suarez-Tangil et al
05-28-2019	A Parameterized Perspective on Protecting Elections by Palash Dey et al
05-29-2019	Food for thought: Ethical considerations of user trust in computer vision by Kaylen J. Pfisterer et al
05-30-2019	Can We Derive Explicit and Implicit Bias from Corpus? by Bo Wang et al
05-28-2019	Crowdsourced Peer Learning Activity for Internet of Things Education: A Case Study by Ahmed Hussein et al
05-30-2019	Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential by Risto Miikkulainen et al
05-28-2019	Algorithmic Bias and the Biases of the Bias Catchers by David Rozado
05-28-2019	Data Breach e-Crime, A Case Study and Legal Analysis by Samuel Cris Ayo
05-29-2019	Robo-Taxi service fleet sizing: assessing the impact of user trust and willingness-to-use by Reza Vosooghi et al
05-30-2019	The Security Implications of Data Subject Rights by Jatinder Singh et al