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CyberSafety 2019 : The Fourth Workshop on Computational Methods in Online Misbehavior


When May 13, 2019 - May 14, 2019
Where San Francisco, California, USA
Submission Deadline Feb 3, 2019
Notification Due Feb 25, 2019
Final Version Due Mar 3, 2019
Categories    cybersafety   harassment   misbehavior   misinformation

Call For Papers

The Web provides a valuable space for individuals to interact with each other, and read, publish and share content. Despite these benefits, the proliferation of virality and anonymity in the modern Web has resulted in a breeding ground for online misbehavior and compromised cybersafety in varying forms such as fraudulent engagement, misinformation and propaganda, user deception and scams, harassment, hate speech, cyberthreats, cyberbullying and more. These issues have severe negative impacts in terms of manipulated user perception and increased exposure to harmful and offensive content at best, and social, psychological and physical harm at worst. Thus, they unsurprisingly incur large social and financial costs from the perspectives of online social platforms who aim to improve user experience and encourage web activity.

The study of these topics has become especially crucial in recent years, due to the constant increase in abuse vectors and tactics, and has taken a social spotlight due to its widespread ramifications. The CyberSafety2019 workshop provides an interdisciplinary venue for researchers in various computational fields including network science, machine learning, data mining, human-computer interaction, natural language processing, web systems, security and privacy and more, to gather and present recent advances in research.

Topics of interest include, but are not limited to:
Bots, cyborgs, and automated accounts
Fraudulent and inflated engagement
Fake reviewers and reviews
Scams and deception
Hate speech
Harassment and cyberthreats
Misbehavior and its relation to misinformation
Misbehavior spread
Adversarial analysis
Empirical impacts of online misbehavior
Enforcement and usable security measures
Characterization and case studies
Detection methods

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