scholarly journals Understanding Affective Content of Music Videos through Learned Representations

Author(s):  
Esra Acar ◽  
Frank Hopfgartner ◽  
Sahin Albayrak
2002 ◽  
Vol 14 (2) ◽  
pp. 69-79 ◽  
Author(s):  
Joan M. Preston ◽  
Michael Eden

Abstract. Music video (MV) content is frequently measured using researcher descriptions. This study examines subjective or viewers’ notions of sex and violence. 168 university students watched 9 mainstream MVs. Incidence counts of sex and violence involve more mediating factors than ratings. High incidents are associated with older viewers, higher scores for Expressivity, lower scores for Instrumentality, and with video orders beginning with high sex and violence. Ratings of sex and violence are associated with older viewers and lower scores for Instrumentality. For sex MVs, inexperienced viewers reported higher incidents and ratings. Because MVs tend to be sexier but less violent than TV and film, viewers may also use comparative media standards to evaluate emotional content MVs.


Author(s):  
Eric L. Sprankle ◽  
Christian M. End ◽  
Miranda N. Bretz

Utilizing a 2 (lyrics: present or absent) × 2 (images: present or absent) design, this study examined the unique effects of sexually degrading music videos and music lyrics on males’ aggressive behavior toward women, as well as males’ endorsement of rape myths and sexual stereotypes. Under the guise of a media memory study, 187 male undergraduate students were randomly assigned to one of four conditions. Despite the many psychological theories predicting an effect, the presentation of sexually degrading content in a visual or auditory medium (or combination thereof) did not significantly alter the participants’ aggression and self-reported endorsement of rape myths and sexual stereotypes. The null findings challenge the many corporate and governmental restrictions placed on sexual content in the media over concern for harmful effects.


2002 ◽  
Author(s):  
Gina M. Wingood ◽  
Ralph J. DiClemente ◽  
Kathy Harrington ◽  
Susan L. Davies ◽  
Jane R. Schwebke ◽  
...  

2011 ◽  
Author(s):  
M. A. Quiroga ◽  
J. Privado ◽  
F. J. Roman
Keyword(s):  

2015 ◽  
Vol 8 (2) ◽  
pp. 127-141
Author(s):  
Margrete Lamond

Literary analysis tends to be conceptual and top-down driven. Data-driven analysis, although it belongs more to the domain of scientific method, can nevertheless sometimes reveal elements of narrative that conceptual readings may fall short of identifying. In critiques of Burnett's The Secret Garden, the children's return to health is generally understood to be the result of their interactions with nature. Some readings add the power of storytelling as a healing force in the novel. Burnett's concept of magic has tended to be treated with uneasy abstractions, and the influence of affect on health remains open for further investigation. This article bases its argument on data-driven analysis that charts how affective content in the novel occurs in conjunction with references to magic. It identifies the narrative significance of negative allusions to nature and how concepts of magic occur alongside representations of positive affect, and suggests that the magic of healing in The Secret Garden is not the transforming power of biological nature, nor the transforming power of storytelling, but the transforming power of surprise, wonder and happiness in conjunction with all these factors. Positive affect represents the essence of what Burnett means by magic.


AI Magazine ◽  
2019 ◽  
Vol 40 (3) ◽  
pp. 67-78
Author(s):  
Guy Barash ◽  
Mauricio Castillo-Effen ◽  
Niyati Chhaya ◽  
Peter Clark ◽  
Huáscar Espinoza ◽  
...  

The workshop program of the Association for the Advancement of Artificial Intelligence’s 33rd Conference on Artificial Intelligence (AAAI-19) was held in Honolulu, Hawaii, on Sunday and Monday, January 27–28, 2019. There were fifteen workshops in the program: Affective Content Analysis: Modeling Affect-in-Action, Agile Robotics for Industrial Automation Competition, Artificial Intelligence for Cyber Security, Artificial Intelligence Safety, Dialog System Technology Challenge, Engineering Dependable and Secure Machine Learning Systems, Games and Simulations for Artificial Intelligence, Health Intelligence, Knowledge Extraction from Games, Network Interpretability for Deep Learning, Plan, Activity, and Intent Recognition, Reasoning and Learning for Human-Machine Dialogues, Reasoning for Complex Question Answering, Recommender Systems Meet Natural Language Processing, Reinforcement Learning in Games, and Reproducible AI. This report contains brief summaries of the all the workshops that were held.


Author(s):  
Jim Sykes

In the conclusion to The Musical Gift, Jim Sykes discusses Sri Lankan versions of viral music videos over the past decade, particularly Pharrell Williams’ video “Happy.” Sykes notes that several people filming themselves dancing to Williams’ song were stopped by the police, who could not comprehend why people were singing and dancing in public outside of the bounds of an official concert. The Sri Lankan “Happy” videos have also been criticized as depicting upper- and middle-class Sri Lankans and thus obscuring the fact that happiness has not been achieved for many Sri Lankans, including those who suffered greatly from the war. Returning to the concept of “the musical gift,” Sykes argues the promotion of public song and dance from and between various communities has a role to play in forging post-war reconciliation and building a “happiness” that emerges from Sri Lankan aesthetics.


2020 ◽  
Vol 108 (1) ◽  
pp. 48-63
Author(s):  
CedarBough T. Saeji
Keyword(s):  

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