ResT-UP 2 will be held in conjunction with LREC2022 on June 24, 2022 (a full day session), and aims at bringing together researchers and scholars working on stylometric analysis 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 useful to characterise abusive language online in a fair and transparent way.

ResT-UP 2 targets stylometry scholars and research groups, experts in statistics and stylistic analysis of texts as well as computational linguists who investigate author and community information 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 2 represents an opportunity to share stylometric 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 role of author information and stylometry in the detection of abusive language online, also through bot detection approaches. Papers that present corpora and ad-hoc linguistic resources for stylometric analysis are welcomed, especially if aimed at profiling to detect hate-speech, cyberbullying, cyberstalking, terrorism, online fraud, plagiarism, fake news, both on ongoing and on completed researches (with positive or negative results). We also solicit the submission of papers discussing ethical implications, risks and legal constraints (e.g. European GDPR) of user profiling in the context of abusive language analysis.

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