*Apologies for cross-posting*

*Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages *

Link: https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Langu...

* Aims, Scope and Objective of Special Issue: * Our everyday lives have become more reliant on online platforms. Social media (Facebook, Twitter, Instagram), discussion websites (Reddit), messaging services (WhatsApp, Snapchat), blogs, forums, and online chats have all been used to spread ideas and data. Without a doubt, social media platforms like Facebook, Twitter, and Instagram benefit society by enabling individuals to express themselves and seek support from others in the online community. Additionally, these platforms have an unmistakable wrong side: cyberbullying, cyberstalking, cyberterrorism, e-bile, fake news, flaming, hate speech, impersonation, pornography, glorification of dangerous behavior (e.g., eating disorders), and trolling. Various news sites in recent years have recorded numerous incidences of suicide, grief, and fear. Additionally, although individuals from many linguistic origins are exposed to online social media, English remains at the forefront of continuing advances in language technology research. Recently, several study investigations on highly resourced languages, such as Arabic, German, Hindi, and Italian, have been done. However, more research on making social media platforms safer in low-resource Eurasian languages is still needed. This special issue aims to gather original research articles that add to the body of knowledge about the use of intelligent natural language systems to build a safer social media environment in low-resource Eurasian languages.

Topics Among the special issue's topics of interest are the following: - • Early detection of radicalization in low-resource Eurasian languages • Mechanisms for recognizing and preventing cyber predators in low-resource Eurasian languages • Identifying and resolving hate speech (abusive language, cyberbullying, etc.) in low-resource Eurasian languages • Simulated propagation and transmission of potentially harmful information via social media in low-resource Eurasian languages • Data collection and annotation methodologies for to safer social media in low resourced Eurasian languages • Content moderation strategies in low-resource Eurasian languages • Cybersecurity and social media in low-resource Eurasian languages • Fake news detection in low-resource Eurasian languages

* Important Dates • Submissions deadline: 10 February 2023 *

with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr@gmail.com , bharathiraja.asokachakravarthi@universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en

https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Prediction-Deep-Internet-of-Things-1648663810590.pdf