ResT-UP will be held in conjunction with LREC2020 in Marseille, France, on May 12, 2020, and aims at bringing together researchers and scholars working on author profiling and automatic detection of abusive language on the Web, e.g., cyberbullying or hate speech, with a twofold objective: improving the existing LRs, e.g., datasets, corpora, lexicons, and sharing ideas on stylometry techniques and features needed for profile information extraction and classification.
ResT-UP targets Profiling scholars and research groups, experts in Statistic and Stylistic Analysis of texts as well as computational linguists who investigate author profile and personality both in short texts (social media posts, blog texts and email) and in long texts (such as pamphlets, (fake) news and political documents).
ReST-UP represents an opportunity to share profiling experiments with the scientific community and to show automatic detection techniques of abusive language on the Web.
We would be happy to receive also proposals that present projects and artificial intelligence platforms that fight online frauds, cyberbullying, cyberstalking and terrorism as well as proposals that investigate the personality of online abusive language protagonists and suspected presence of psychiatric disorders.
Papers that present corpora and ad hoc set linguistic resources for profiling are welcomed, especially if aimed at profiling in detection of hate-speech, cyberbullying, cyberstalking, terrorism, online fraud, plagiarism, fake news, both on ongoing and on completed researches (with positive or negative results), and also ideas for future inter-university cooperation.
Topics of interest
- Linguistic Resources for
- Abusive Language Analysis and Forensic Linguistics
- Cognitive Profiling
- Computational Stylometry for User and Author Profiling
- Hate speech and abusive language detection
- Profiling of trolls, bots, and users producing hate speech
- Stylistic Features Extraction
- Textual Statistics
- Computational Linguistic Analysis of Social Media
- Ethical and legal issues in Author Profiling
- Machine Learning Profiling Techniques
- Projects and Artificial Intelligence Profiling platforms