Emakia is a 501(c) 3 nonprofit startup that researches and develops the filtering out of harassment on social media platforms. The purpose of Emakia is to protect the receiver of social media content by developing a system that filters trolls, harassment, and fake news. Emakia’s first app, Enaëlle will provide users access to their social media feeds that filter out unwanted content. Using machine learning (ML) classifiers, the app filters text, image, audio, and video data.

Emakia is designed not only to filter the unwanted content on Enaëlle, it will also automate the reporting of harassment via emails. The reports will be sent to individuals or affinity organizations chosen by the user. In addition, Emakia will coordinate with these organizations that will provide emotional and psychological assistance to the user. At the same time, the relevant social media platforms will also receive an email alerting them to remove the harassing content.
Emakia’s board is all-women-led.
Emakia's goal is to provide a system that filters out unwanted content at the receiving end for social media users.  In addition, an automated report is generated when harassment is detected and supports are enabled where a user can elect to get professional intervention.

Emakia aims to provide social media users with an application, Enaëlle, that filters out unwanted content free of charge. To accomplish this goal we plan to utilize the latest AI technologies (Core ML and Auto ML) and to collaborate with academic researchers with whom Emakia will share its data sets and code. 


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