Researchers Jonah Berger of the University of Pennsylvania and Grant Packard of Wilfrid Laurier University were interested in understanding the relationship between similarity and success. In a recent study published in Psychological Science, the authors describe how a person’s drive for stimulation can be satisfied by novelty. Cultural items that are atypical, therefore, may be more liked and become more popular.The study, which is was published online ahead of print, used a method of topic modeling called latent Dirichlet allocation. (Side note, this analysis is available in the R topicmodels package, as function LDA. It requires a document term matrix, which can be created in R. Perhaps a future post!) The LDA extracted 10 topics from the lyrics of songs spanning seven genres (Christian, country, dance, pop, rap, rock, and rhythm and blues):
“Although some researchers have argued that cultural success is impossible to predict,” they explain, “textual analysis of thousands of songs suggests that those whose lyrics are more differentiated from their genres are more popular.”
- Anger and violence
- Body movement
- Dance moves
- Family
- Fiery love
- Girls and cars
- Positivity
- Spiritual
- Street cred
- Uncertain love
I love this study idea, especially since I've started doing some text and lyric analysis on my own. (Look for another one Sunday, tackling the concept of sentiment analysis!) But I do have a criticism. This research used songs listed in the Billboard Top 50 by genre. While it would be impossible to analyze every single song that comes out a given time, this study doesn't really answer the question of what makes a song popular, but what determines how popular an already popular song is. The advice in the press release (To Climb the Charts, Write Lyrics That Stand Out), may be true for established artists who are already popular, but it doesn't help that young artist trying to break onto the scene. They're probably already writing lyrics to try to stand out. They just haven't been noticed yet.
To me, the content of songs and other music with words, like opera arias, is 96% music and 4% words. So I am totally outside the population these findings apply to, because I basically don't care what the words are. Popular songs aren't poetry, although I recall readings of Bob Dylan words as if they were, which IMO is silly. I suspect I am not the only one who is attracted to music and doesn't care what the words are. You might weight your findings by the % of listeners who are fixated on the words, if you can determine that.
ReplyDeleteJim Geissman
Van Nuys, CA