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Quality control in crowdsourcing: A survey of quality attributes, assessment techniques, and assurance actions
Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …
groups of individuals toward solving problems. Common problems approached with …
A survey of defensive deception: Approaches using game theory and machine learning
Defensive deception is a promising approach for cyber defense. Via defensive deception, a
defender can anticipate and prevent attacks by misleading or luring an attacker, or hiding …
defender can anticipate and prevent attacks by misleading or luring an attacker, or hiding …
Automatic detection of generated text is easiest when humans are fooled
Recent advancements in neural language modelling make it possible to rapidly generate
vast amounts of human-sounding text. The capabilities of humans and automatic …
vast amounts of human-sounding text. The capabilities of humans and automatic …
The future of crowd work
Paid crowd work offers remarkable opportunities for improving productivity, social mobility,
and the global economy by engaging a geographically distributed workforce to complete …
and the global economy by engaging a geographically distributed workforce to complete …
Quality control in crowdsourcing systems: Issues and directions
As a new distributed computing model, crowdsourcing lets people leverage the crowd's
intelligence and wisdom toward solving problems. This article proposes a framework for …
intelligence and wisdom toward solving problems. This article proposes a framework for …
Understanding malicious behavior in crowdsourcing platforms: The case of online surveys
Crowdsourcing is increasingly being used as a means to tackle problems requiring human
intelligence. With the ever-growing worker base that aims to complete microtasks on …
intelligence. With the ever-growing worker base that aims to complete microtasks on …
Making better use of the crowd: How crowdsourcing can advance machine learning research
This survey provides a comprehensive overview of the landscape of crowdsourcing
research, targeted at the machine learning community. We begin with an overview of the …
research, targeted at the machine learning community. We begin with an overview of the …
Uncovering social network sybils in the wild
Sybil accounts are fake identities created to unfairly increase the power or resources of a
single malicious user. Researchers have long known about the existence of Sybil accounts …
single malicious user. Researchers have long known about the existence of Sybil accounts …
Automated crowdturfing attacks and defenses in online review systems
Malicious crowdsourcing forums are gaining traction as sources of spreading misinformation
online, but are limited by the costs of hiring and managing human workers. In this paper, we …
online, but are limited by the costs of hiring and managing human workers. In this paper, we …
You are how you click: Clickstream analysis for sybil detection
Fake identities and Sybil accounts are pervasive in today's online communities. They are
responsible for a growing number of threats, including fake product reviews, malware and …
responsible for a growing number of threats, including fake product reviews, malware and …