Observational study of Twitter data shows initial responses and conversation size before a toxic tweet correlate with subsequent toxicity levels via social norms.
Conversational flow in Oxford-style debates
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Public debates are a common platform for presenting and juxtaposing diverging views on important issues. In this work we propose a methodology for tracking how ideas flow between participants throughout a debate. We use this approach in a case study of Oxford-style debates---a competitive format where the winner is determined by audience votes---and show how the outcome of a debate depends on aspects of conversational flow. In particular, we find that winners tend to make better use of a debate's interactive component than losers, by actively pursuing their opponents' points rather than promoting their own ideas over the course of the conversation.
fields
cs.SI 1years
2022 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
The Power of Social Norms: How Initial Responses to Toxicity Shape Conversations on Twitter
Observational study of Twitter data shows initial responses and conversation size before a toxic tweet correlate with subsequent toxicity levels via social norms.