Decoding Hate

[ UUID ] 90553963-d14b-4005-80bf-45f8a4b1a493

[ Session Name ] Decoding Hate [ Primary Space ] Digital Inclusion [ Secondary Space ] Openness

[ Submitter's Name ] Daniel Kelley [ Submitter's Affiliated Organisation ] Center for Technology and Society at the Anti-Defamation League

What will happen in your session?

Participants will join the social science research of ADL and UC Berkeley's Online Hate Index- a project that uses machine learning and social science to understand hate speech online from the perspective of targeted communities. Participants will review a number of online comments and determine who is being targeted by them and how severely. The session will end with a group discussion about the nature of hate online.

What is the goal or outcome of your session?

The goal of the session is twofold: One is to get participants to join in the coding exercise and thus provide their lived experience of hate online to the social science research of the project. The second goal is to educate participants about the complicated nature of hate online: how nuanced determining it is, the importance of context, and the degree to which we don't understand how these determination are made by tech companies at present .

If your session requires additional materials or electronic equipment, please outline your needs.

A projector would be preferred for this session. In addition, participants would need to use a smart phone/tablet/laptops to participate. Ideally we would be able to send a link to participants in advance of the session as well.

Time needed

60 mins