FINAL TEAMS - PITCHING

 
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WHAT IS HATE SPEECH?

According to UN hate speech is any kind of communication in speech, writing or behavior, that attacks or uses pejorative or discriminatory language with reference to a person or a group on the basis of who they are, in other words, based on their religion, ethnicity, nationality, race, color, descent, gender or other identity factor.

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.

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Bogdan Ionescu

AI Multimedia Lab

Mentor 

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Tomáš Gal

KInIT

Mentor 

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Matúš Pikuliak

KInIT

Mentor 

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Andrea Cox

DigiQ

Jury

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Juraj Podroužek

KInIT

Jury

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Kelly Grossthal

Estonian Human Rights Centre

Jury

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Ivan Srba

KInIT

Keynote Speaker

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Catalin Tenită

Member of Parliament at Romanian Parliament

Keynote Speaker

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Steven Zimmerman

University of Essex

Speaker

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Marina Popescu

Median Research Centre

Mentor 

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Liisa Linna

Partner at Advokaadibüroo LIVERTE

Mentor 

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Stanislav Matějka

Slovak Council for Broadcasting and retransmission

Mentor 

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Luboš Kukliš

Slovak Council for Broadcasting and retransmission

Speaker

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Miriam Lexmann

Member of the European Parliament 

Speaker

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Stephen Turner 

Twitter

Speaker

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Zuzana Kosmályová 

 Crime Prevention Department, Office of the Minister of Interior

Jury

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