Generation of Ideologically-Biased Historical Documentaries

Michael Mateas, Carnegie Mellon University; Paul Vanouse, University of Buffalo; Steffi Domike, Chatham College

Terminal Time is a machine that constructs ideologically-biased documentary histories in response to audience feedback. The audience answers multiple-choice questions via an applause meter. The answers to these questions influence which historical events are chosen from a knowledge base, how these events will be slanted to embody the bias implied in the audience’s answers, and how the events will be connected together to form a historical narrative. Terminal Time’s architecture consists of a knowledge base and inference engine for querying the knowledge base, ideological goal trees and rhetorical devices which represent the current bias, a natural language generator to turn the constructed history into narrative prose, and an indexed multimedia database used to sequence video against the narration.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.