In this paper we introduce the quantitative and qualitative characteristics of the Czech Radio Broadcasts News during a period of significant political and social changes in the Czech Republic (1969 - 2005). The research is mainly focused on the quantitative features of speech that can be determined from the results of automatic speech recognition system. We describe the used archive transcription system and selected characteristics of the macro- and micro- structure of the Radio Broadcasts News; namely the changes in studio vs. out-of-studio speech ratio, distribution of speakers by male and female, moderators and guest-speakers, changes in the use of signature tunes (including jingles), approximate use of phrasal introductory and closing language specific for the time periods, speech speed changes, average silence length, coordinative vs. subordinate conjunctions ratio and the most frequent semantic words. The sample of data consists of 6,580 hours of news broadcasting and 48,721,952 lexical words.