The strategic manipulation of information has become a powerful political tool for creating confusion in healthy countries.

The erosion of trust between citizens, communities and nation-states threatens global peace and security in the 21st century.

It is our responsibility as Data+Scientists to inoculate society from this threat by deploying intelligent algorithms which identify and tag troll comments | profiles.

The Machine Learning Society and the CO Science & Tech Social Network are currently designing a Hackathon which aims to restore trust on the internet.

Weaponized Communication

Honest COmmunication is one of the CO Network's most valued principles. Therefore, we are launching an initiative to bring together Artificial Intelligence experts, Psychologist and Political leaders to collaborate on a solution. If you wish to participate in the Hackathon, support us by sponsoring the event or simply rooting for us, please submit the form in the next tab.

Challenge Prerequisites

Data: Help us compile a comprehensive database of Troll comments and Bot behavior. The strategic manipulation of information has become a powerful political tool for creating confusion in healthy countries. The erosion of trust between citizens, communities and nation-states threatens global peace and security in the 21st century. We must inoculate our societies from this threat by deploying intelligent algorithms to identify and tag troll comments | profiles. The Machine Learning Society and the CO Science & Tech Social Network are designing a Hackathon which aims to restore trust on the internet. Honest COmmunication is one of CO’s most valued principles. Therefore we are launching an initiative to bring together Artificial Intelligence experts, Psychologist and Political leaders to collaborate on a solution. Why not create an Ad-Block for Bots and Trolls?

Challenge #1 – Bot Smasher

Use NLP (Natural Language Processing) and other Data Science techniques to identify BOT profiles on a variety of social networks. Build a browser extension to highlight comment and provide user details about post frequency, bot behavior analytics, sentiment analysis and a trust ranking. Bonus points for teams that enable content filtering and auto removal.

Challenge #2 – Troll Hunter

Use NLP (Natural Language Processing) and other Data Science techniques to identify TROLL profiles on a variety of social networks. Build a browser extension to highlight comment and provide details about post frequency, troll behavior analytics, sentiment analysis and a trust ranking. Bonus points for teams that enable content filtering and auto removal.

Topics under consideration:

• Social Networks vs Anti-Social Networks
• The Science behind viral ideas.
• Psychological blind-spots
• Total transparency vs total anonymity (debate)
• Digital Identities
• A brief history of Trolling
• Preservation of online freedom with technology
• Communication platforms and encryption
• Who chooses the “Truth” (Panel Discussion)
• Unintended consequences of Troll censorship