Join us for the first edition of the International Conference on Online Harm Prevention during which we bring together a selection of business leaders, trust & safety experts, scientists, and engineers to discuss the problem of online harm (including cyberbullying, grooming, and suicides among others) and ways to effectively address those problems in the digital age
Samurai Labs
Samurai Labs
Samurai Labs
Samurai Labs
Samurai Labs
The lecture will discuss the process of Child Grooming, the actions of abusers that can lead to the sexual exploitation of a child, the signals indicating that a child is in a dangerous relationship, and ways to help the child.
Saying goodbye online – lecture on a pragmalinguistic analysis of suicidal posts of Reddit social platform users. During the meeting one will be able to learn what the characteristic cues are in texts written by suicidal users and which language phenomena indicate a suicidal message.
It would seem that with the current scale of widespread hatred, attacks and harassment online, any attempt to respond to these phenomena is a Sisyphean labour. But is it really? During the lecture, we will present you a profile of a certain persona, James Walker, who thinks differently, and using the example of his actions carried out in the form of a field experiment in cyberspace, we will show you how and why it is worth reacting.
Being a teenager in 2022 is a challenge. Being a parent of a teenager is quite a challenge. How to understand the world of young people and help take care of mental health?
Samurai Labs focuses on developing information technology to fight cyberbullying on the Internet. Our primary focus is text processing to detect personal attacks, hate speech, suicidal content, and pedophilia. We accomplish our tasks by combining symbolic methods and machine learning methods. During the presentation, we will show how we use machine learning to support symbolic models in tasks characterized by low incidence.
Presentation of a virtual annotator - a solution that allows a neural network model to recognize errors in annotation.
The lecture aims to introduce what toxic usernames are. I will present the methods of detecting toxic names, the difficulties associated with them, and then the methods developed and used by Samurai Labs to solve this problem.
When the research on mitigating online harms started at the end of the first decade of the 2000s, Social Networking Services were only beginning to sprout. Yet, already then it was apparent that issues like cyberbullying or hate speech will not be possible to solve quickly with ad hoc methodology. In this lecture, I will talk about the hard lessons we have learned and the good practices we have worked out during the nearly fifteen years of the "cat and mouse" chase after the phenomena such as cyberbullying and other online harms, with the aim to tackle these virtual, yet so real and tangible problems.
With the development of virtual reality technologies, the metaverse seen as a multi-user virtual environment manifests the potential to define the future of digital discourse. Given the transformative nature of the concept of the metaverse, the lecture aims to examine a potential threat that may accompany the widespread use of the metaverse in the digital space - the phenomenon of cyberbullying of a highly immersive nature in the context of the lack of a well-defined system for monitoring acts of violence.
During this lecture we will look at how different social platforms detect and respond to toxic discourse present in their communities, go trough the challenges related to the current content moderation paradigm, and discuss ways we can address them.
At the workshop we will talk about how adults can support children and young people on the Internet; specifically, what cyberbullying is and how to prevent it and how to recognize whether a child is either a victim or a perpetrator of cyberbullying.
PPNT Gdynia aleja Zwycięstwa 96/98, 81-451 Gdynia.
The conference will be held in Gdynia, Conference Room E, Building III of the Pomeranian Science and Technology Park.
+48 513 777 336
icohp2022@samurailabs.ai