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Some musical characteristics are cues to happiness (fast tempo, major mode); others are cues to sadness (slow tempo, minor mode). Listening to music with inconsistent emotional cues leads to mixed feelings and perceptions, or simultaneous happy and sad responding. We examined whether emotional cues in American popular music have changed over time, predicting that music has become progressively more sad-sounding and emotionally ambiguous. Our sample comprised over 1,000 Top 40 recordings from 25 years spanning five decades. Over the years, popular recordings became longer in duration and the proportion of female artists increased. In line with our principal hypotheses, there was also an increase in the use of minor mode and a decrease in average tempo, confirming that popular music became more sad-sounding over time. Decreases in tempo were also more pronounced for songs in major than in minor mode, highlighting a progressive increase of mixed emotional cues in popular music.
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... Traditionally, in Western music, major modes are perceived as bright, happy, and uplifting, while minor modes are linked to more sombre, melancholy, or dramatic emotions [4][5][6]. However, since the Baroque period composers have used both major and minor modes to convey a wide range of emotions and affective states [7,8], as well as the association of musical modes with emotional content varies both historically and across cultures [9,10]. For instance, composers of the 17th and 18th centuries did not exclusively use the minor mode to express sadness; rather, it was often employed to evoke private, sensual, or fragile emotional states. ...
... Notably, the explicit emotional recognition of music mode develops later in life than the recognition of tempo, and appears to depend on both individual characteristics and cultural factors, especially in the first years of life [14,15]. Previous studies have suggested that musical training and age can further modify major-minor perception and its affective processing [16,17], even though no explicit knowledge of major-minor mode structures is needed in order to produce the related emotional responses [10]. However, there is evidence of large and systematic inter-individual differences, since several factors such as expertise, mood, and personality may affect major-minor perception and preference [2,11,[13][14][15]. ...
... Participants' level of education in years was described in very few articles (7 out of 70). Studies conducting only behavioural investigation were 33, whereas a few applied exclusively physiological measures (10). The remaining 27 papers applied both physiological and behavioural methods. ...
... It is appropriate to state that music has always been an inseparable entertaining and multi-purpose activity in everyday situations with endless positive outcomes, and even more now with the assistance of mobile phones, which have become an essential device with the potential to have a central place (Amali et al., 2012) in the lives of young people. However, for the last few years, an increase in the use of inappropriate language, in particular in song lyrics, (Schellenberg and Scheve, 2012;Madanikial and Bartholomew, 2014), has become a «must» to reach top charts, therefore affecting all means of communication and creating a hardous task for regulations to tackle in an interconnected world. Actually, lyrics have the potential to influence emotions (Taruffi and Koelsch, 2014) and why not, ethics. ...
... Besides, music awakes different emotions (Sloboda and Juslin, 2001). As stated by Schellenberg and Scheve (2012), popular music has become more «sad-sounding» with the passing of time and they have focused on lust, leaving the proportion of love behind (Madanikial and Bartholomew, 2014). This may affect intimate relationships as «the relationship between the body and sex is unambiguously portrayed in contemporary media (Aubrey, 2006), which is supported by the language mirroring social and psychological change« (DeWall et al., 2011). ...
... Music, young people and emotions MLC1: Music has changed over the last few years (Schellenberg and Scheve, 2012;(Madanikial and Bartholomew, 2014) MYPE2: Exposure and social standards (Coyne, 2011) MYPE3: Music as an influencer for behaviour (Hall et al., 2012) LEUEL: Level of English and understanding by L2 learners LEUEL1: English as a foreign language in primary and secondary schools in Spain (Alcaraz Varó, 2000: 14) LEUEL2: English to communicate globally Graddol (1997: 50) LEUEL3: Music stored on phones place (Amali et al., 2012) EEMB: Explicit music broadcasted assisted by globalisation EEMB1: Globalisation, an influential share for society (Graddol, 1997;Sampedro, 2002) EEMB2Rating systems Protection of minors in Spain (Law 7/2010, of March 31, on General Audiovisual Communication) EEMB3Education as key to select MEVFL: Modification of values due to mixed interest MEVFL1,3: Profanity in the language as a change in values (Sortheix et al., 2017) MEVFL2: Values´modification may reflect mixed interests in society (Schwartz, 1992) Considering the information in this section, five hypotheses can be drawn, whose direction is detailed in the model (see Table 3 The arrows in Figure 1 represent the path coefficients and reveal how relevant the effect of one latent variable is on the other, offering the possibility to rank statistical relevance (Wong, 2013). ...
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Given the significant influence of the English language in most Spanish educational centres in Spain as well as on main top popular music charts in this country, and considering the current crisis of ethical values on a global level, the aim of this study was to primarily assess the level of parental concern related to explicit language in songs in the English language and relate its connection with own ethical values. The instrument used to collect data was a Likert-scale based questionnaire (with 5 response-options) following the hypotheses of this study (Behaviour and emotions of minors; Level of English and understanding of the language, explicit music broadcasted globally and modification of ethical values if in a foreign language), which were defined through the structural equation model (SEM-PLS), a method recommended for studies in social sciences. A total of 160 responses were collected from parents/tutors claiming they had a lower-intermediate level of the English language and with children/students who were enrolled in different bilingual schools in Extremadura (Spain). Results actually revealed a relaxed attitude towards ethical values compromised by explicit language, should these be in a foreign language, therefore evidencing a different personal ranking of values in a foreign language.
... Instead of identifying an optimal BPM rate or range, other scholarship studies how the beat's speed has shifted in popular songs over the years. According to Schellenberg and Scheve (2012), the average tempo decreases from 116. 4 BPM in songs from 1965-1969to 99.9 BPM in songs from 2005. Temperley (2018 also notes a decrease in the average tempo of rock songs from the 1950s-1990s. ...
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The beat is regularly defined as a song’s primary pulse layer and as a requirement for metric formation. Despite the beat’s familiarity, however, its precise characterization and analytical application is inconsistent in scholarship. In this article, I present a new approach to analyze the beat in popular songs with a consonant, clear, and unchanging quadruple simple meter. At bottom, I take the traditional view of the beat as a singular entity and reframe it a multifaceted phenomenon where different aspects of music can simultaneously, and at times variably, create a sense of metric primacy. My analytical system has three parts: the drum pattern layer, the absolute time layer, and the preferred pulse layer. Further, I introduce the term “interpretive flexibility,” a spin on interpretive multiplicity, to refer to metrically consonant popular songs with multiple options for the perceived beat. In the second half of the article, I apply the three-part system and interpretive flexibility to analyze the beat in popular songs with multiple drum feels and layered drum feels. The evolving sense of metric primacy in these songs is experientially engaging, helps express musical form, and parallels extramusical narratives.
... Beatlesology exists as an identifiable component of musicology (e.g., Everett, 1999), but quantitative investigations of the psychological factors explaining the broad appeal of The Beatles are uncommon, with extensive focus instead on factors relating to music theory and audience reactions to particular tracks or albums. This is particularly surprising in light of the recent trend in research, which employs large music databases to identify temporal trends or structural factors that predict various indices of popularity (e.g., Gauvin, 2015;Interiano et al., 2018;Kim, 2021;North et al., 2018;Schellenberg & von Scheve, 2012;Serra et al., 2012). Much of this has been reported in a diverse range of journals representing computer science, marketing, and psychology. ...
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There has been little quantitative research by psychologists concerning the music of The Beatles. The present research compared their music against a database of 169,909 songs for which data was obtained via the Spotify application programming interface concerning acousticness, danceability, duration, energy, key, loudness, mode, popularity, tempo, and valence. The Beatles' music differed from the overall dataset by being more positively-valenced, more energetic, faster, louder, less acoustic, and shorter; and differed from their 1960s contemporaries by being more danceable, energetic, faster, louder, less acoustic, and shorter. Of these, only the loudness and valence of The Beatles' music was related positively to its popularity. The Beatles were able to avoid the overall trend for distinctive music to be less commercially successful, suggesting that they were able to innovate without sacrificing popularity. However, on further analysis, The Beatles' music was no more innovative (defined in terms of musical differences from other music) than that of their contemporaries for each year of the 1960s except 1969. The ongoing public acclaim of The Beatles can therefore be attributed to their music being louder and more emotionally positive, being no more musically-innovative than their peers, but when they did innovate, being relatively successful compared to their peers.
... For example, estimating perceived loudness for half a million popular recordings between 1955 and 2010, Serrà et al. [57] showed, in line with evidence that loudness is a key driver of engagement [29], that this aspect of music has tended to increase over time. Further, in addition to demonstrations that the majority of popular songs feature surprising harmonic events [58], there is evidence that they have become increasingly faster since the 1990s ( [56], but see [59]). ...
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The current paper offers a model of time-varying music engagement, defined as changes in curiosity, attention and positive valence, as music unfolds over time. First, we present research (including new data) showing that listeners tend to allocate attention to music in a manner that is guided by both features of the music and listeners' individual differences. Next, we review relevant predictive processing literature before using this body of work to inform our model. In brief, we propose that music engagement, over the course of an extended listening episode, may constitute several cycles of curiosity, attention and positive valence that are interspersed with moments of mind-wandering. Further, we suggest that refocusing on music after an episode of mind-wandering can be due to triggers in the music or, conversely, mental action that occurs when the listener realizes they are mind-wandering. Finally, we argue that factors that modulate both overall levels of music engagement and how it changes over time include music complexity, listener background and the listening context. Our paper highlights how music can be used to provide insights into the temporal dynamics of attention and into how curiosity might emerge in everyday contexts. This article is part of the theme issue ‘Art, aesthetics and predictive processing: theoretical and empirical perspectives’.
... However, recent advances in the characterization of psychological traits, together with methodological strides in computational sciences, have the potential to boost the field of historical psychology [38,39,54,55]. For example, text mining facilitates the quantification of emotions and personality traits [56,57], face-detection algorithms enable the automated extraction of emotional expressions [58][59][60], and automatic extraction of melodic information from music scores and audio records allows quantification of the emotional content of songs [61,62]. These novel methods, together with the increasing availability of digitized cultural datasets, have improved our ability to characterize and quantify several psychological dimensions across a variety of documents and historical periods. ...
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