Abstract
Multimedia enables content creators to communicate information by adding nuance which is difficult to convey through written language via voice tone, camera angle, content highlighting, etc. However, it can be difficult for content consumers to discern biased opinions included within multimedia content. This disclosure describes techniques to automatically detect and surface such biased opinions within multimedia content. The process involves examining publicly available multimedia and/or text content related to a given piece of multimedia content to identify and flag biased portions. The identified biased portions are surfaced to the user via a suitable user interface mechanism.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Keysers, Daniel and Carbune, Victor, "Surfacing Biased Portions of Multimedia Content Using Machine Learning", Technical Disclosure Commons, (June 12, 2020)
https://www.tdcommons.org/dpubs_series/3318