会議情報
CyberSafety 2019: International Workshop on Computational Methods for CyberSafety
https://cybersafety2019.github.io提出日: |
2019-02-10 Extended |
通知日: |
2019-02-25 |
会議日: |
2019-05-13 |
場所: |
San Francisco, California, USA |
年: |
4 |
閲覧: 12501 追跡: 0 出席: 0
論文募集
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 CyberSafety 2019 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 on online misbehavior.
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
Cyberbullying
Flashers
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
Paper Submission
Authors are invited to submit papers of 2-8 pages in length. Papers should be submitted electronically in PDF format, using the ACM SIG Proceedings format, with a font size no smaller than 9pt. Submit papers through https://easychair.org/conferences/?conf=cybersafety2019
All submissions will be single blind and peer-reviewed. All accepted papers will be presented at the workshop. In addition, accepted papers will be published in the companion proceedings of the WWW conference and the ACM digital library, unless the authors choose to opt out from publishing their papers. We encourage both academic and industry submissions of the following types, but not limited to:
Novel research papers in full or short length
Work-in-progress papers
Survey papers
Comparison papers of existing methods and tools
Case studies
Demo papers
Extended abstracts
最終更新 Dou Sun 2019-02-09
関連会議
関連仕訳帳
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| b | IEEE Transactions on Robotics | 10.5 | IEEE | 1552-3098 |
| b | Journal of the American Society for Information Science and Technology | 2.800 | John Wiley & Sons, Ltd. | 1532-2890 |
| b | IEEE Transactions on Intelligent Transportation Systems | 8.4 | IEEE | 1524-9050 |
| PeerJ Computer Science | 3.800 | PeerJ Inc. | 2376-5992 | |
| IEEE Transactions on Information Technology in Biomedicine | IEEE | 1089-7771 | ||
| c | Machine Translation | Springer | 0922-6567 | |
| b | IEEE Transactions on Neural Networks and Learning Systems | 8.9 | IEEE | 1045-9227 |
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| b | Evolutionary Computation | 4.600 | MIT Press | 1063-6560 |
| 完全な名前 | インパクト ・ ファクター | 出版社 |
|---|---|---|
| Frontiers in Robotics and AI | 2.900 | Frontiers Media S.A. |
| IEEE Transactions on Robotics | 10.5 | IEEE |
| Journal of the American Society for Information Science and Technology | 2.800 | John Wiley & Sons, Ltd. |
| IEEE Transactions on Intelligent Transportation Systems | 8.4 | IEEE |
| PeerJ Computer Science | 3.800 | PeerJ Inc. |
| IEEE Transactions on Information Technology in Biomedicine | IEEE | |
| Machine Translation | Springer | |
| IEEE Transactions on Neural Networks and Learning Systems | 8.9 | IEEE |
| Journal of Automated Reasoning | 0.900 | Springer |
| Evolutionary Computation | 4.600 | MIT Press |