FINAL TEAMS - PITCHING
CHOOSE
YOUR
CHALLENGE
Let´s empower public communicators and social media users in their infinite fight against hate speech. The real challenge is not only to detect hate speech effectively, but to develop a solution which would make moderation of online debate containing hate speech easier.
CHALLENGE 1
HATE TEXT
Hate speech through text is a big problem for public communicators as this type of hate speech can be added to posts very quickly and it is often not possible to moderate it effectively, as there is a predominance of haters. We are looking for a tool that would facilitate the moderation of hateful commentators and empower the author of the content on social networks and Internet forums.
YOUR OPTIONS:
1. Create a new solution
2. Develop existing solution from our previous hackathon
CHALLENGE 2
HATE IMAGES
Besides hate speech through text, it is also important to consider hate speech through images – memes. Often the text from the image might not constitute hate speech on its own , which can also be applied the other way around. The goal is to develop a solution which will be able to detect this type of hate speech.
THE
WINNING
SOLUTION
CRITERIA
USABILITY
Is the solution user friendly and apllicable for anyone?
IMPLEMENTATION
How easy is the solution to adapt to other languages?
How difficult are the steps to finalise the software solution?
IMPACT
Will this solution have a far reaching potential to solve societal problem of hate speech?
ABOUT OP:CODE
The Open Code for Hate-Free Communication (OpCode) project aims at countering online hate speech using a multidimensional approach consisting of monitoring, analysis, taking action, developing free and open software solutions for moderating user generated content, and by engaging in advocacy and network consolidation. The project also aims to consolidate the efforts of civil society organizations to participate in EC monitoring exercises and continuously monitor the Web, thus providing data as a basis for future policy. Furthermore, our goal is to provide national and European policy-makers as well as IT companies with recommendations on how to address the issue. The project will contribute to the European Commission’s recommendation on measures to effectively tackle illegal content online that highlights the necessity of cooperation and mutual exchange between tech companies and CSOs for the benefit of the public.
Bogdan Ionescu
AI Multimedia Lab
Mentor
Tomáš Gal
KInIT
Mentor
Matúš Pikuliak
KInIT
Mentor
Andrea Cox
DigiQ
Jury
Juraj Podroužek
KInIT
Jury
Kelly Grossthal
Estonian Human Rights Centre
Jury
Ivan Srba
KInIT
Keynote Speaker
Catalin Tenită
Member of Parliament at Romanian Parliament
Keynote Speaker
Steven Zimmerman
University of Essex
Speaker
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Marina Popescu
Median Research Centre
Mentor
Liisa Linna
Partner at Advokaadibüroo LIVERTE
Mentor
Stanislav Matějka
Slovak Council for Broadcasting and retransmission
Mentor
Luboš Kukliš
Slovak Council for Broadcasting and retransmission
Speaker
Zuzana Kosmályová
Crime Prevention Department, Office of the Minister of Interior
Jury
