How The Right Wing Noise Machine Buries Biden's Historic Accomplishments

[certainot]

22. dem party or allies need to use AI to digitize and analyze rw radio, real time and in past - MIT

MIT Media Lab did it in 2019 for 2.8 Bil words and that prototype can be used to end the astounding stupidity, incompetence, and irresponsibility of ignoring rw radio for 35 years

no excuse not to. when this is done advertisers and univeresity and pro sports teams will desert those stations it in droves. the ad industry will have to break up the monopoly. and republicans will have a hard time winning any elections

https://arxiv.org/pdf/1907.07073.pdf

RadioTalk: a large-scale corpus of talk radio transcripts
Doug Beeferman, William Brannon, Deb Roy
Lab for Social Machines, MIT Media Lab
[e-mail], [e-mail], [e-mail]
Abstract
We introduce RadioTalk, a corpus of speech recognition tran- scripts sampled from talk radio broadcasts in the United States between October of 2018 and March of 2019. The corpus is intended for use by researchers in the fields of natural language processing, conversational analysis, and the social sciences. The corpus encompasses approximately 2.8 billion words of automatically transcribed speech from 284,000 hours of radio, together with metadata about the speech, such as geographical location, speaker turn boundaries, gender, and radio program information. In this paper we summarize why and how we pre- pared the corpus, give some descriptive statistics on stations, shows and speakers, and carry out a few high-level analyses.