Annenberg Inclusion Initiative -- 22
Footnotes
1. The Hot 100 chart was retrieved from Billboard at https://www.billboard.com/charts/year-
end/2019/hot-100-songs Each year, a number of songs repeat or carry over. We leave those repeating
songs in per year when running overall and yearly analyses. However, when we analyze the number of
credits per individual artist, the duplicate songs are removed prior to analysis. This way, we do not count
the same credits more than once when examining the access and opportunities by gender and
race/ethnicity. A total of 78 songs repeated across the 8-year same time frame.
Our approach to unitizing and variable coding can be found in our seminal report by S. Smith, M. Choueiti,
K. Pieper, and others (2018). Information about artists was taken directly from the Billboard chart on line
and gender was assigned by scrutinizing online information, industry databases, pronoun use, and online
interviews. No information was missing for gender judgments of artists.
2. Our initial report on Inclusion in the Recording Studio? Can be found online here:
http://assets.uscannenberg.org/docs/inclusion-in-the-recording-studio.pdf
3. Due to the fact that only 1 performer was found to identify as non binary and only 1 company was
credited as an artist, we did not include them in the subsequent gender-based analyses.
4. U.S. Census Bureau (n.d.). Quick Facts. Retrieved January 15, 2020 from:
https://www.census.gov/quickfacts/fact/table/US/PST045218 RIAA Facts & Research (n.d.). Music
Consumer Profile—2018. Retrieved on January 9
th
, 2020 from https://www.riaa.com/reports/2018-u-s-
consumer-music-profile-musicwatch-inc/
5. The genre breakdown across the 800 songs are as follows: Pop (41.2%, n=330), Hip-Hop/Rap (27.5%,
n=220), Country (9.8%, n=78), Alternative (9%, n=72), R&B/Soul (6.5%, n=52), Dance/Electronic (6%,
n=48).
6. The total number of headlining performers was 1,326 and featuring was 298. Looking at a year by year
comparison, the percentages of women within individual, duo, or band with and without featuring does
not differ by 5% or greater across any cells compared (i.e., 24 pair wise comparisons). To illustrate, three
pair wise comparisons were conducted per year across 8 years (e.g., % female solo artists with and
without featuring in 2012; % of females in duos with and without featuring in 2012; % of females in bands
with and without featuring in 2012). Given the minimal deviation across all 24 comparisons, we folded
featuring into the performer type for all analyses.
7. Every solo artist as well as individual in a band or duo was assessed for race/ethnicity. Judgments were
made across all artists in the sample. For our approach to measuring race/ethnicity, please see our
seminal report, Inclusion in the Recording Studio. Apparent race/ethnicity judgments were made for 16%
(n=18) artists in the sample from 2019.
8. U.S. Census Bureau (n.d.).
9. All credits for songwriting were retrieved from three online sources: American Society of Composers,
Authors and Publishers (ASCAP, https://www.ascap.com/repertory), Broadcast Music Inc. (BMI,
http://repertoire.bmi.com/StartPage.aspx) and/or Society of European Stage Authors and Composers
(SESAC, https://www.sesac.com/#!/repertory/search). Due to inconsistencies across the repertories, the
songwriting credits of 1 song, Baby Shark, were provided by Billboard.
Gender and race/ethnicity were taken from multiple online sources, including industry databases such as
Variety Insight and Studio System. When information was not available on these databases, other online