This study analyzed the frequency with which the regional broadcasts of the 30 Major League Baseball (MLB) teams featured traditional and modern/advanced statistics. To understand these portrayals, 60 games, two from each MLB team, were coded. The coded content consisted of any on-screen graphic featuring one or multiple baseball statistics, as well as any comment from the broadcasters about statistics. The results indicated a clear spectrum of teams, with some featuring a high level of advanced metrics in their graphics and commentary, while some were substantially more traditional. Through the lens of framing, potential ramifications for statistical knowledge within different fan bases were discussed.
Zachary W. Arth and Andrew C. Billings
Zachary W. Arth, Darrin J. Griffin, and Andrew C. Billings
This study examined Major League Baseball (MLB) broadcasters’ descriptions of players through the lens of self-categorization theory. Two core variables were assessed: nationality (American or non-American) and broadcast type (local or national). Broadcaster language in 30 games from the 2016 MLB season was analyzed. Two forms of examination revealed that American players were more frequently described as successful due to their intelligence, whereas non-American players were more likely to be depicted as failing due to an ascribed lack of strength and were discussed more in terms of emotionality. Local broadcasters were more likely to highlight differences between American and non-American players.