Movie Plot Research Articles

Subtitle Analysis of A Swing Maker under Multimodal Discourse Analysis

Nowadays, movies have gradually become one of the main ways of global cultural communication, and movie subtitle translation has also become an important factor for foreign audiences to better understand the content of the movie, therefore, the study of movie subtitle translation is urgent. With the increasingly deepening of China’s foreign exchanges, Chinese movies, as a carrier of Chinese culture, have gradually come into the international field of vision as an important way of spreading Chinese culture and promoting cultural exchanges. Therefore, the study of movie subtitle translation has become one of the main ways to better tell Chinese stories. Different from traditional translation, movie subtitle translation needs to take more factors into consideration, including movie images, speaker’s character traits, and the influence of movie layout, etc. Therefore, this paper uses multimodal discourse analysis to analyze the subtitles of A Swing Maker in order to analyze the influence of movie images, movie plots, and character traits on subtitle translation. A Swing Maker mainly tells the story of Chinese oilmen, through the subtitle translation analysis of the movie, it is more conducive to the dissemination of the spirit of Chinese oil story to other countries, telling the story of Chinese oil well, and contributing to the dissemination of the story of Chinese oil.

Semantic-Enhanced Variational Graph Autoencoder for Movie Recommendation: An Innovative Approach Integrating Plot Summary Information and Contrastive Learning Strategy

This study introduces a novel movie recommender system utilizing a Semantic-Enhanced Variational Graph Autoencoder for Movie Recommendation (SeVGAER) architecture. The system harnesses additional information from movie plot summaries scraped from the internet, transformed into semantic vectors via a large language model. These vectors serve as supplementary features for movie nodes in the SeVGAER-based recommender. The system incorporates an encoder-decoder structure, operating on a user-movie bipartite graph, and employs GraphSAGE convolutional layers with modified aggregators as the encoder to extract latent representations of the nodes, and a Multi-Layer Perceptron (MLP) as the decoder to predict ratings with additional graph-based features. To address overfitting and improve model generalization, a novel training strategy is introduced. We employ a random data splitting approach, dividing the dataset into two halves for each training instance. The model then generates outputs on each half of the data, and a new loss function is introduced to ensure consistency between these two outputs, a strategy that can be seen as a form of contrastive learning. The model’s performance is optimized using a combination of this new contrastive loss, graph reconstruction loss, and KL divergence loss. Experiments conducted on the Movielens100k dataset demonstrate the effectiveness of this approach in enhancing movie recommendation performance

Enjoyment of Love-Related Dramas and the Implications of Perspective Taking

To understand how viewers respond to two common movie plots (falling in love and cheating), this study considers the perspectives they might take. Study 1 tests which protagonists’ perspective viewers adopt when watching movies with falling-in-love versus betrayal plots. Study 2 then shows that viewers’ perspective orientation influences their affective experiences and enjoyment of betrayal movies but not falling-in-love movies. Study 3 explores the processes that lead to varying levels of enjoyment, attained by viewing movies with falling-in-love and cheating plots. A moderated mediation model reveals three processes: affective states resulting from goal attainment/failure, meaning derived through identification, and affective dispositions formed according to moral judgments. Viewers’ romantic beliefs moderate the second process, and their morality standards moderate the third.

MOVIE SIMILARITY FROM PLOT SUMMARIES

This project focuses on developing a Python application to analyze and measure the similarity between movie plot summaries. The goal is to provide a tool that can assist in identifying similarities between movies based on their storyline, enabling users to discover related movies or recommend similar ones.The project utilizes natural language processing (NLP) techniques, particularly text preprocessing, vectorization, and similarity metrics, to achieve its objectives. First, it preprocesses the plot summaries by removing stop words, punctuation, and performing stemming or lemmatization to normalize the text data. Next, it employs vectorization methods such as TF-IDF (Term Frequency-Inverse Document Frequency) or word embeddings like Word2Vec or GloVe to convert the text into numerical representations suitable for similarity calculations.

Hybrid knowledge-infused collaborative filtering for enhanced movie clustering and recommendation

This article proposes an enhanced knowledge-based collaborative filtering model for movie recommendation services to address the limitations of collaborative filtering in capturing the diverse preferences and specific characteristics of movies. The proposed model integrates external knowledge sources, such as movie plots and reviews, to enrich the recommendation process. By leveraging this additional information, the model can better understand movies’ unique features and attributes, improving recommendation accuracy and relevance. The knowledge-based features are extracted and incorporated into the collaborative filtering framework, enhancing the model’s ability to match user preferences with movie characteristics. Experiments are conducted using the MovieLens dataset to evaluate the proposed model. The MAE and RMSE metrics are employed to assess the quality of recommendations. Comparative analyses are conducted against various baseline approaches, including popularity-based, CF-based, content-based, and hybrid recommendation models. The experimental results demonstrate the effectiveness of the proposed knowledge-based collaborative filtering model. The proposed model consistently outperforms the baselines, providing more accurate and personalized recommendations.

Status and consensus: Heterogeneity in audience evaluations of female‐ versus male‐lead films

AbstractResearch SummaryExtant research finds that status characteristics such as gender are frequently related to average quality evaluations by external audiences, but little is known about whether such characteristics are also related to consensus in quality evaluations. We examine 383 million film ratings by consumers to document that female‐lead movies elicit less consensus in quality evaluations than male‐lead movies. In split‐sample analyses, we find that male raters are more negative than female raters about female‐lead titles, and that the two audiences differ on dispersion and skew. A subsequent experiment helps distinguish between various mechanisms that might be driving these results, including actor sorting, audience sorting, and treatment effects on audience quality perceptions. Finally, we find that independent studios yield greater box office revenue from female‐lead movies.Managerial SummaryConsumers often lack consensus about product quality. Does product gender‐typing influence perceived quality consensus? We examine this question in the film industry, where 28.5% of films from 1992 to 2018 had a female actor in the lead role. Using 383 million consumer ratings from a popular website, we find less consensus in ratings of female‐lead films compared to male‐lead films. Some of this effect stems from male audiences who, compared to female audiences, rate female‐lead films lower than male‐lead films and disagree more on their quality. We use an experiment with fictional AI‐generated movie plots and random lead‐actor gender to better understand what drives this effect. Finally, we find independent studios have higher box office revenue from female‐lead films.

Analysis of the Moral Values of the One Piece Anime Movie "Z" And Movie ‘’Stampede’’

A movie is a type of literary work to entertain and convey a value or message to the viewer. The movie strives to communicate moral values, which are considered positive attitudes that could be adopted by everyone. This study aims to identify and analyze the moral values contained in the one-piece anime movies "Z" and "Stampede”. This study uses a grounded theory approach to the descriptive-qualitative method and analyze the moral values in the movies by using Sulistiyani’s moral theories. This study focuses on analyzing two anime films from the One Piece series, namely Z and Stampede. This research findings shows that numerous morals can drive and teach us as viewers. The morals found in the movies are courage, self-sacrifice, honesty, justice, wisdom, respect and appreciation, hard work, fulfilling promises, supporting others, and working together. Unfortunately, belief in God's values is not found in these movies since the themes of these movies are action, adventure, and, most significantly, friendship. Moreover, the moral values mostly delivered in these movies are helping others. Finally, the researcher suggests that the viewers not only derive enjoyment from the movie's plot but also apply its moral values to enhance their own character to become better individuals.

Layered Sexism in The Accused

The Accused (1988), a movie adaptation of a real-life event about a gang-raped victim who seeks justice, depicts sexist behavior towards the survivor during the trial. With the main premise of seeking justice for a rape survivor, this movie highlights Sarah’s experience to gain justice through a sexist masculine institution. Referring to the theory of sexism by Manne, this article aims to show how this movie shows sexist behavior toward the survivor during law enforcement. Dialogues that show sexism between characters are used in the analysis of the movie's plot, then used to discuss the portrayal of sexism in The Accused from a feminist point of view. From the dialog and the portrayal of layered sexism, we find that as a movie promoting human rights, The Accused still implies that a woman who does not meet the expected gender roles is undeserving of justice. As a result, a ‘bad’ woman as a victim whose experience is reduced is seen as a norm.

The Life and Travails of J. Robert Oppenheimer, the Nuclear Scientist

‘Oppenheimer’ is a 2023 epic, biographical film about an American theoretical physicist Julius Robert Oppenheimer. He is considered the “father of the atomic bomb”. The film is brilliantly written and directed by Christopher Nolan. The film, based on the 2005 biography “American Prometheus” by Kai Bird and Martin J. Sherwin, chronicles the complex and consequential career of J. Robert Oppenheimer. The story begins with Oppenheimer's postgraduate studies at the University of Cambridge (England) and at the University of Göttingen (Germany), details his direction of the Manhattan Project during World War II in developing nuclear weapons at the Los Alamos National Laboratory (LANL) in New Mexico (USA), and ends with his eventual fall from grace due to his 1954 security hearing based on the false premise that J. Robert Oppenheimer was a communist spy who was passing secret information on nuclear research to the Soviet Union. Nolan’s ‘Oppenheimer’ is the pinnacle of movie making. Nolan has delicately interwoven the intricate domains of quantum physics, human ingenuity, cruel politics, morality, legality, and ethics into a timely masterpiece and into an explosive emotional thriller. The four principal cast members (1) Cillian Murphy as J. Robert Oppenheimer, (2) Emily Blunt as Katherine "Kitty" Oppenheimer (wife), (3) Matt Damon as Gen. Leslie Groves, and (4) Robert Downey Jr. as Lewis Strauss perform their role flawlessly. Murphy, in particular, uncannily acts and resembles the real─life J. Robert Oppenheimer. In addition, the performances by Florence Pugh as Jean Tatlock and by Tom Conti as Albert Einstein are superb. The story is told in alternating black and white (Strauss’ version of events) and color (Oppenheimer’s version of events) scenes. The haunting musical score by Ludwig Göransson synchronizes perfectly with the movie plot. When the bomb explodes at the Trinity climax scene, the sound goes totally silent! Oppenheimer’s story is the real─life vindication of the truth after 68 years (1954─2022). A must watch Nolan’s thriller for this Nuclear Age! Thus, the said movie has triggered me to make an attempt to comprehensively capture the chronology of events covering 153 years of history (1870─2023) associated with J. Robert Oppenheimer, some events not covered in the movie plot is included in this review article with 48 Figures and 8 Appendixes. The purpose is to permanently etch in history the scientific contributions made by J. Robert Oppenheimer and by his colleagues at the Manhattan Project, which not only ended the World War II, but also sprung open a new world of freedom for humanity. Let there be no doubt that J. Robert Oppenheimer was a genuine patriotic American of our time and therefore, my only fervent hope is that our generation acknowledges, remembers, and admires their contributions and sacrifices, without which the fragile freedom that we enjoy today, even after 80 years later, would not have been possible. His legacy is one of historical greatness.

Identifying social norm violation in movie plots: from Borat to American Pie

Abstract The violation of social norms in TV and cinema is a well-known source of humor and catharsis, and researchers in digital humanities may benefit from the automatic identification of social norm violations. In this article, we introduce a novel methodology for identifying and analyzing the violation of social norms in textual data and illustrate it in the analysis of movie plots. The methodology leans on zero-shot classification, specifically relevant when massive, labeled datasets are unavailable. We test our methodology and provide researchers with (1) a theoretically grounded tool for screening textual data for social norm violation and with new datasets that include (2) 6,806 embarrassing situations from movie plots and their hypothesized violated norm and (3) 3,059 movie plots with their average embarrassment score.

Metaphor and Its Role in War Room Movie


 
 
 This study aims to find the types and the roles of metaphors in War Room movie. Metaphor in the movie is one of the most important aspects to understand the plot and the message of the movie. This study applied qualitative research as the design, and the observational method and non-participatory technique by Sudaryanto (2015) were conducted to collect the data. The collected data were analyzed and classified based on the theory by Levinson (1983) for the types of metaphors and Gibbs (2008) for the roles of the metaphors in talk. As the results of this research, there were 43 total metaphors found in the War Room movie. 8 metaphors have the roles in negotiating and appropriating in talk with the type of 7 predictive and 1 sentential, 10 metaphors offering a shared discourse space with 6 predictive and 4 sentential, 5 metaphors for the management of talk with 1 nominal, 3 predictive and 1 sentential, and finally 20 metaphors which bring effective impact to the talk with 2 nominal, 16 predicatives, and 2 sentential. It was also found that the metaphors in the movie were very important for the movie's plot, scenes, and message.
 
 

Building a Timeline for LGBTQ+ Global Cinemas (1910–2019): Movie Production Trends from a Collaborative Internet Cinema Database

Building a Timeline for LGBTQ+ Global Cinemas (1910–2019): Movie Production Trends from a Collaborative Internet Cinema Database

KOMPARASI ALGORITMA KLASIFIKASI NAIVE BAYES DAN K-NEAREST NEIGHBORS DALAM ANALISIS SENTIMEN TERHADAP OPINI FILM PADA TWITTER

The fact that social media is so unreliable does not prevent Twitter users from using the service. Twitter is one of a few social media platforms that allows users to engage in conversation, share information, or even reveal their true identities, such as when discussing a movie's plot. A tweet or comment about a movie that is posted on Twitter may be viewed as a tool to improve the quality of movie production. To understand this, one can use sentimen analysis to categorize as either negative or positive by comparing the Naive Bayes and k-Nearest Neighbors algorithms to determine which one is the most accurate. The results of the two algorithms' comparative testing reveal that the Nave Bayes algorithm has a higher rata-rata accuracy of 99.63% with an AUC of around 1.000, while the K-NN algorithm has a higher rata-rata accuracy of 99.25% with an AUC of 1.000.

Archetypal Symbols and The Hero’s Journey of Alice in Wonderland Film

Myth is a classic story about heroes who explain the origins of natural occurrences. Myth is not always given historically since the modern one will continue to evolve and impact cinema creation. This study aimed to look at the categorization of Campbell's "hero's journey" and the archetypal symbols under Segal's theory, as provided by the main character in the Alice in Wonderland film. The data for this study was taken from a plotline in Woolverton's Alice in Wonderland. The study's findings suggested that the film had a tight relationship with a myth. The primary characters, including Alice, the Red Queen, and the White Queen, symbolized archetypal emblems of light and evil. Alice could eventually complete the hero's journey, beginning with departure, reaching a climax in the initiation stage, and reaching the return stage as the significant point of the movie's plot and the same fundamental structure in the myths.

СПЕЦИФІКА ТА РІЗНОВИДИ КІНОСЮЖЕТІВ В СУЧАСНИХ ЗМІ

The specifics of visual electronic mass-media and their influence on public opinion formation are considered in the article. Thanks to their technical abilities visual electronic publications ensure so-called “presence effect” – recipient’s feeling of their involvement to what is happening on a TV screen, a monitor or a display and ability to empathize. The publication states that cinema and its means of expression as art form and human activity branch which can create moving images thanks to modern gadgets. Movie plots became an important visual part of a today media product. Their demand requires not only magnification of quantity indicators in the process of production, but also new approaches to improvement of such products quality, due to the fact that quantity of financial benefits from advertisers and TV channels rating indicators depend on movie plots popularity among the audience. The publication contains a brief review of research problems source base. The main definitions and characteristic features of movie plots as one of the most important elements of modern visual journalism are considered. Attention is paid to movie plots varieties in modern mass-media. Classification of movie plots according to different characteristics is made. Movie plots specific features and their production basic elements are analyzed. The article states that another feature of a qualitative movie plot is ability to create its scenario correctly and competently. Views of modern TV journalism theorists and practitioners on movie plots creation according to drama and stagecraft rules are reviewed. The summary emphasizes on professional aspects of preparation of journalists who would like to specialize in movie plots creation for modern mass-media. Using modern means of information transmission and visualization of events, phenomena and facts, it is possible to change the consciousness of the audience, propagandize political, cultural, social and moral values. But to do these qualitatively and to interest a potential audience journalists need to know the main points of drama, laws and rules of writing movie scripts and varieties and specifics of movie plots.

Plot-aware transformer for recommender systems

<abstract> <p>Plot text is very valuable supporting information in movie recommendations. It has several characteristics: 1) It is rich in content. Each movie often has a document of more than 200 words to describe it, which can give the movie a rich semantic meaning. 2) Objectivity. Plot texts are different from review information. A movie may have thousands of reviews with mixed and conflicting opinions. However, a film has only one plot text, which is fair in tone and does not take a position. Despite its appealing properties and potential for accurate movie portrayal, the lack of a building block for effectively mining plot semantics has led to the marginalization of plot text in the design of movie recommendation algorithms. Therefore, in this paper, we explore the application of the Transformer, currently the best natural language processing module, to learning movie plot texts to help achieve more accurate rating prediction. We propose the "Plot-Aware Transformer" model (PAT) to model the process of "user-movie" rating interaction. We test the PAT model on several movie datasets and demonstrated that the model is competitive. In all tasks, PAT achieves state-of-the-art performance compared to baseline experiments.</p> </abstract>

Кино: конструирование времени

Introduction. The technical art of cinematography is traditionally regarded as a synthetic unity of scientific and technological progress and creativity. The possibility of unlimited copying of movie plots makes it possible to extend the authority of cinema to broad areas of public attention and forms a mass man. At the same time, the fact that cinema is, first of all, an experiment with time, organized by technical means, remains behind the scenes. The purpose of the study. If the core issues of humanity are centered on the problem of life and death, on the problem of mastering and overcoming time, then cinema clearly shows that humanity has a ready-made embodied model of its desire. Methods. The authors use a phenomenological method that allows one to see the temporal fabric behind the “opaque body” of cinema. The eidetic reduction to the foundations of the constructed film plot temporal reality is complemented by the structuralist method of analyzing technical devices and technological methods of the film industry. Scientific novelty of the research. The ontology of the technical art of cinema goes beyond rationality and pragmatics. By launching a special kind of experiment with time, cinema technologies allow the viewer to be present in the bifurcation moments of temporal metamorphoses that connect different temporal modes. The temporal fabric is subject to the plot logic. Results. In cinema, time is constructed by technical means. The nature of this construction allows us to see the layered structure of time, the intersections of time flows, influxes, reverse time orders and stops in time. The cinema technique clearly shows that time barriers are conditional. Conclusions. Cinema dissolves any empirical density, creating gaps in it and transitions to other worlds. The connection between the worlds is carried out by constructed time. Time is taken out of objects and, obeying the course of the narrative, expands the reality of the world.

Exploring Modes of Surveillance in Films

This article frames a theoretical discussion of cinematic gestures in their opposing forms, illusionism and reflexivity, exploring different modes connecting surveillance and film. One observes cinema as an illusionistic surveilling machine that records reality. In this respect, surveillance can be an “element of movie plots.” Then, given the simultaneously entrapped and swaying nature of cinematic gestures, the investigation of film reflexivity associated with surveillance reveals a dual character. The dominant one (auto-mediacy), although guided by a subversive thrust, ultimately reinforces the dynamics of the internal panopticon, the regulation, and the marketization of the self. Conversely, another form of emancipative self-reflexivity (autoscopia) operates a set of enunciations exalting the filmmaking process’ materiality. The film Grizzly Man is an example of autoscopia generating a form of technology-mediated subversive self examination.

New Normal Creative Pop-Culture Tourism Promotion in Chiang Mai, Lamphun, and Lampang for Chinese Tourists

Purpose: The objectives of this study were 1) to study the behaviors of Chinese tourists who visit pop-culture destinations in Thailand’s Lanna tourism cluster, 2) To study and compare the decision-making factors of the Chinese tourists to visit Lanna tourism culture, and 3) to suggest provincial policies for Chinese tourists who visit pop-culture destinations in Thailand’s Lanna tourism cluster. Theoretical framework: This research figured out the demographic profiles of Chinese tourists who visited pop-culture destinations in Thailand’s Lanna tourism cluster. Then, the behaviors of Chinese tourists and the decision-making factors to visit pop-culture destinations in Thailand’s Lanna tourism cluster were further examined. Lastly, all data were combined to create the provincial policies for Chinese tourists who visited pop-culture destinations in Thailand’s Lanna tourism cluster. Design/methodology/approach: This research is a qualitative research methodology (QUAN). Total 412 samples of Chinese tourists who visited pop-culture destinations in Thailand’s Lanna tourism cluster were collected using verified questionnaires. The lists of questions investigated demographic profiles and behaviors during their trips of film tourism in Lanna tourism cluster. Full data were analyzed using frequency, percentage, mean, standard deviation, and hypothesis test via T-test and One-Way ANOVA. The data collecting process took several months from September-December 2021. Findings: The data revealed that most Chinese visitors who visited pop-culture destinations in Thailand’s Lanna tourism cluster were female, aged 31-35 years old, married, graduated with bachelor’s degree, and worked as private company employees with a monthly salary around 5,001-8,000 CNY. Friends & relatives were the first choice of travel companion. The most inspiring travel decision was movie plots. Movie plots and performances did not influence Chinese visitors with difference marital statuses. Also, visitors with different education backgrounds were not influenced to visit by the locations of movie scenes, the movie trends, the cultural origins, the casts’ personalities, the presses and medias, and the driving trends. Place, social origin, personality, press, and push factor did not influence visitors with different personal incomes. Three provincial policies were recommended, including an administrative aspect, public relation aspect, and quality control aspect, to align with the 3rd National Tourism Development Plan of Thailand 2022-2026. Research, Practical & Social implications: Without proper driving forces by stakeholders, the policies would not be healthy implemented. Consequently, the local government agencies should form a provincial pop-culture tourism committee to capably drive the policies. Originality/value: The behavioral studies of Chinese tourists who visited pop-culture destinations in Thailand’s Lanna tourism cluster were hardly found in academic arena. As well, all data were synthesized using previous literatures to combine with recent research results to create the provincial policies for Chinese tourists who visit pop-culture destinations in Thailand’s Lanna tourism cluster.

Marvel’s Captain America Civil War poster: An analysis based on the Grammar of Visual Design

Movie posters, a multimodal genre used to attract viewers, are a complex form of communication that contains verbal and visual semiotic resources. The entertainment company Marvel has created a cinematic universe where movie posters play an essential role in marketing. Despite Marvel’s global influence in sociocultural practices, few studies investigate its movie posters. Hence, this study analyzes the visual structures used in the Captain America: Civil War theatrical movie poster, drawing on the Grammar of Visual Design, specifically the representational, interactive, and compositional metafunctions. Regarding the representational metafunction, results show a bidirectional transaction, highlighting the faceoff between the two teams of heroes. Their symmetry also hints at classificational processes. Concerning interactional meanings, the heroes gaze at each other, inviting viewers to observe the image from a social distance while keeping some detachment. Moreover, the camera angle creates an equal power relation between the main heroes and viewers. Finally, compositional meanings strengthen the separation between the two teams through different elements, but they simultaneously indicate the teams will reunite. Thus, these three kinds of visual meanings together provide an adequate summary of the movie plot and aptly contribute to the construal of a future conflict between the two teams.