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Music Video and the Politics of Representation
How can we engage critically with music video and its role in popular culture? What do contemporary music videos have to tell us about patterns of cultural identity today? Based around an eclectic series of vivid case studies, this fresh and timely examination is an entertaining and enlightening analysis of the forms, pleasures, and politics that music videos offer. In rethinking some classic approaches from film studies and popular music studies and connecting them with new debates about the current 'state' of feminism and feminist theory, Railton and Watson show why and how we should be studying music videos in the twenty-first century. Through its thorough overview of the music video as a visual medium, this is an ideal textbook for Media Studies students and all those with an interest in popular music and cultural studies. Key Features* Provides a framework for how to describe and analyse a music video.* Uses case studies from internationally well-know artists, such as Kylie, Shakira and Beyoncé to explore issues of representation of gender, sexuality and ethnicity.* Draws on classic and contemporary videos from a range of musical styles, from Lady Gaga and Christina Aguilera to Gorillaz and Metallica.
eBook
The Bloomsbury Handbook of Popular Music Video Analysis
Music videos promote popular artists in cultural forms that circulate widely across social media networks. With the advent of YouTube in 2005 and the proliferation of handheld technologies and social networking sites, the music video has become available to millions worldwide, and continues to serve as a fertile platform for the debate of issues and themes in popular culture. This volume of essays serves as a foundational handbook for the study and interpretation of the popular music video, with the specific aim of examining the industry contexts, cultural concepts, and aesthetic materials that videos rely upon in order to be both intelligible and meaningful. Easily accessible to viewers in everyday life, music videos offer profound cultural interventions and negotiations while traversing a range of media forms. From a variety of unique perspectives, the contributors to this volume undertake discussions that open up new avenues for exploring the creative changes and developments in music video production. With chapters that address music video authorship, distribution, cultural representations, mediations, aesthetics, and discourses, this study signals a major initiative to provide a deeper understanding of the intersecting and interdisciplinary approaches that are invoked in the analysis of this popular and influential musical form.
eBook
Traveling Music Videos
Traveling Music Videos offers a new interdisciplinary perspective on how contemporary music videos travel across, shape, and transform various media, online platforms, art institutions, and cultural industries worldwide. With the onset of digital technologies and the proliferation of global video-sharing websites at the beginning of the 21st century, music video migrated from TV screens to turn instead to the internet, galleries, concert stages, and social media. As a result, its aesthetics, technological groundings, and politics have been radically transformed. From the kinaesthetic experience of TikTok to the recent reimaginations of maps and navigation tools through music video cartographies, from the ecofeminist voices mediated by live-stream concerts to the transmedia logic of video games and VR, from the videos’ role in contemporary art galleries to their political interventions —the chapters map the ways music video is continually reconfiguring itself. The volume tracks music video’s audiovisual itineraries across different geographies, maps its transmedia routes, and tackles the cultural impact that it has on our current media ecosystem.
eBook
POV
\"In this high-interest novel for teen readers, Spencer is commissioned to create a music video for a blues-rap band.\"-- Provided by publisher.
Book
Deep learning-based late fusion of multimodal information for emotion classification of music video
Affective computing is an emerging area of research that aims to enable intelligent systems to recognize, feel, infer and interpret human emotions. The widely spread online and off-line music videos are one of the rich sources of human emotion analysis because it integrates the composer’s internal feeling through song lyrics, musical instruments performance and visual expression. In general, the metadata which music video customers to choose a product includes high-level semantics like emotion so that automatic emotion analysis might be necessary. In this research area, however, the lack of a labeled dataset is a major problem. Therefore, we first construct a balanced music video emotion dataset including diversity of territory, language, culture and musical instruments. We test this dataset over four unimodal and four multimodal convolutional neural networks (CNN) of music and video. First, we separately fine-tuned each pre-trained unimodal CNN and test the performance on unseen data. In addition, we train a 1-dimensional CNN-based music emotion classifier with raw waveform input. The comparative analysis of each unimodal classifier over various optimizers is made to find the best model that can be integrate into a multimodal structure. The best unimodal modality is integrated with corresponding music and video network features for multimodal classifier. The multimodal structure integrates whole music video features and makes final classification with the SoftMax classifier by a late feature fusion strategy. All possible multimodal structures are also combined into one predictive model to get the overall prediction. All the proposed multimodal structure uses cross-validation to overcome the data scarcity problem (overfitting) at the decision level. The evaluation results using various metrics show a boost in the performance of the multimodal architectures compared to each unimodal emotion classifier. The predictive model by integration of all multimodal structure achieves 88.56% in accuracy, 0.88 in f1-score, and 0.987 in area under the curve (AUC) score. The result suggests human high-level emotions are automatically well classified in the proposed CNN-based multimodal networks, even though a small amount of labeled data samples is available for training.
Journal Article
Dangerous mediations : pop music in a Philippine prison video
In 2007, 1500 prisoners in Cebu Provincial Detention and Rehabilitation Centre (CPDRC) became bona fide Internet celebrities following their YouTube interpretation of Michael Jackson's groundbreaking music video \"Thriller.\" Emboldened by the public's overwhelmingly positive response to this unusual music video, CPDRC officials instigated a mandatory daily dance and pop music performance schedule, uploading new videos onto YouTube that received millions of views. Officials then introduced a monthly, live, public performance held within the prison yard, creating a unique tourism industry surrounding the prison walls, and in 2010 a national \"prison dance rehabilitation\" policy was introduced by the Filipino government.0Connecting scholarship on popular music with emerging literature on YouTube's audiovisuality, musicologist Aine Mangaoang combines first-hand experience of visiting the prison and textual analysis with a critical and holistic approach. As such, this is the first book to examine the disquieting trend of prisoners serving as musical performers and digital entertainers to a global audience.
Book
Assessing YouTube’s Impact on the Music Industry: A Scoping Review
Music video streaming has become a central force in the U.S. music industry since YouTube’s launch in 2005 as the first ad-supported platform to offer royalty payments. This scoping review examines the impact of music video streaming on the industry, with a particular focus on YouTube, which dominates both scholarship and practice. Of the 22 peer-reviewed studies analyzed, 21 focused on YouTube and only one addressed YouTube Music, with no substantial coverage of Apple Music, Spotify, or Amazon Music. Three primary themes emerged from the literature: music discovery, monetization, and data. The most distinctive finding is the pivotal role of user-generated content (UGC), which sets YouTube apart from other digital service providers by enabling fans and artists alike to create and distribute music-related content. UGC has altered pathways for music discovery, reshaped fan engagement, complicated copyright enforcement, and introduced new models of monetization. In addition, YouTube has made data analytics on audiences and music consumption a routine part of industry practice. These findings underscore YouTube’s unique position as both a streaming service and social media network, while also highlighting gaps in the literature on other music video streaming platforms. Future research should address the impacts of music video streaming services beyond YouTube, the intersection of live music and streaming, and the implications of artificial intelligence for music production, distribution, and revenue.
Journal Article