Barza and Memari examine how cultural context influences the movie genre preferences and comprehension of the contents of each film. The study has English language learners as its subjects, and their performance on content and culture-based comprehension tests is used to see if genre preferences and comprehension are influenced. The results showed that general comprehension remained similar, culture understanding was much higher when the subjects watched films from their own respective cultures, suggesting that genre preference alone does not determine how an audience interprets and engages with the films. This article provides an understanding of how cultural context shapes genre preference and reception.

Bornet and Knauss argue that the study of religion, film, and media is an evolving field with identifiable current trends for future research. They support this by describing developments in recent scholarship and pointing to recurring themes in films and media. This resource is useful because it offers a framing of what researchers consider significant and what direction the field is heading. For the research question of how film genre trends evolve across years and cultural contexts, it helps justify a comparative approach and gives us scholarly resources for explaining why trend analysis needs cultural and historical context.

Çalışkan examines the behavior of Netflix Türkiye viewers during the COVID-19 pandemic and found that the genres of movies and TV series viewers chose to watch weren’t random, but rather a direct response to the emotions experienced during the period. He noticed viewers were constantly trying to balance two conflicting emotions: the need to process reality and the need to escape reality. The study argues that as the pandemic progressed, the Turkish audience shifted from reality-adjacent stories toward genres offering laughter, surprise, and hope as emotional coping mechanisms. Drawing evidence from FlixPatrol’s “Top 10” rankings and IMDb’s primary genre tags, Çalışkan uses the specific dates of government-mandated lockdowns to explain spikes in specific genres’ popularity. This source is important because it demonstrates that genre functions as an emotional utility, especially during times of crisis, and shows that consumption of specific genres can shift in a matter of days rather than years. For our research question, this source bridges the gap between identifying which movie genres exist and understanding the “why” behind their consumption. Although this paper focuses on a specific region and timeframe, it provides a framework for analyzing whether certain genres dominate during periods of global instability.

Hoang argues that Vietnam’s recent boom in “films as tourism promotion” sells national landscapes as beautiful without paying mind to the ecological realities, shaping audience eco-consciousness through the pressures of socialist nationalism and capitalist mass production. It uses evidence from the films’ imagery, analysis of audience perception, and comparison with the ecological conditions of the featured tourist sites to trace real environmental consequences. This resource is important because it connects a film trend to impact, showing how cinematic beauty can function as a cultural distraction rather than environmental awareness. For my research question, it provides a case study of how globalization and national ideology can drive a trend and shape what themes get emphasized or erased across time.

This journal argues that experimenting with multiple genres in a film (rather than sticking to a clear single genre) is a risky endeavor, even though blockbuster films often come from a hybrid genre approach. The journal used film data from the early to mid 1900s, including genres used and box office success, for their argument. They found that while sticking to a clear, single genre is often safer, using a hybrid approach leads to higher reward. This journal is important because it shows the thought process that must go behind choosing whether to be unique and mix genres or stick to just one, and how the results of film success might be a direct result of this choice. For our project, this resource is useful as it will allow us to incorporate an additional element into our research: when analyzing movie success, was the film primarily a single main genre, or was it a hybrid one?

Kinkle and Alberto examine the 2008 financial crisis and assess the cinematic narrative of contemporary financial capitalism, including fiction, documentary, and films. The paper argues that mainstream cinema has largely struggled to depict the systemic, abstract nature of the crisis, often misleadingly highlighting the personification of greedy individuals and family-centered morality tales. Through exemplifying the economic drama, such as Up in the Air, The Company Men, Wall Street: Money Never Sleeps, the paper points out that these films decentralize and neglect the seriousness of the government and collective political decision. By raising awareness of the “de-government” action in films, the paper highlights the tendency in the film industry of making the political economy entertaining and calls for films that are more related to the transnational and engaging social perspectives. As a whole, the paper reflects the influence and the response of the film industry to a social crisis event. 

Lee and Choeh analyze the relationship between electronic word-of-mouth (eWOM) and the commercial success of films, arguing that the helpfulness of reviews serves as a more important predictor of box office revenue than simple volume or ratings. By crawling eWOM data from the movie website of Naver, the most visited portal site in South Korea, and cross-referencing it with revenue and power data from the Korean Film Council, the authors study movies released from January 2014 to May 2016. Their findings show that reviews and reviewers perceived as highly helpful possess greater explanatory power regarding a film’s financial performance. This study is important because it identifies how digital reviews can help audience engagement for movies. For our research project, this source allows us to consider how metadata in the TMDB dataset, such as vote averages and popularity scores, might reflect these eWOM dynamics rather than the quality of the movie itself. 

Liu studies how word of mouth changes over time and how it connects to box office revenue. He treats word of mouth as something that rises and falls across the release cycle, instead of a single score. The article shows that audience talk and reactions matter most around release, and that these patterns can help explain revenue outcomes. This source helps our project because it supports the idea that popularity and ratings data are not just about movie quality. They also reflect attention and timing. Using TMDb and Letterboxd, we can think about how vote counts, popularity, and ratings may shift depending on when people are watching and discussing a film. A limitation is that the data comes from a different platform than ours, so the exact patterns may not match, but the basic idea still fits our research.

McGowan looks at how streaming has changed modern cinephilia and everyday film watching. He argues that streaming makes movies feel easy to access, but that access is not stable because titles move, disappear, or become locked behind different services. This can create frustration and a sense that film culture is harder to keep track of. This source connects well to our project because Letterboxd is shaped by this streaming environment. People use it to log, rate, review, and make lists, partly to keep a record of what they watched and what is available. It gives us a strong cultural explanation for why platforms like Letterboxd matter, beyond just being a rating site. The weakness is that it is not a data-heavy paper, so it will not give direct modeling steps, but it gives helpful context for interpreting patterns we see in our datasets.

Mohanty, Mudgal, and Ganguli analyze the changes in popular movie genres in Bollywood from 1994 to 2019. The paper argues that the distinct shifts that were found in the analysis reflect border social and cultural changes, such as changing family structures, globalization, and technological influences. By basing its analysis on theories such as uses-and-gratifications and social cognitive theory, the study demonstrates how audience taste and societal conditions shape genre changes and trends over time, reflecting how film genre preferences react to cultural or temporal shifts.

Moon, Bergey, and Lacobucchi investigate the rating system of the films, evaluate its effect on film revenue, and assess whether the rating system reflected the audience’s evolving preferences over different genres. The paper attempts to highlight the relationships between product ratings and product financial performance while considering various movie quality characteristics and bringing up the review as the indicator of the consumers’collective choices. Through examining and quantifying the factors that influenced reviews, the paper concludes that the “review star power” is essential to the survival and success of the film with its amateur community and, in return, affects the studio’s decision in making films. The paper also detects the steadier revenue flow for the IP adaptation films, predicting the Hollywood current popular strategy of IP acquisition. The paper reminds us of how platforms impact people and how audience preference formed a reciprocal relationship with the film industry.

Nazar argues that tobacco depictions in Bollywood films changed after India introduced tobacco-free film and TV rules, assessing whether the policy corresponded to a real shift in what appears on screen over time. It uses content coding of popular Bollywood films across multiple years and trend analysis comparing patterns before versus after the rules. The resource is important because it shows how regulation can reshape recurring media conventions rather than assuming culture changes on its own. For our research question, this resource gives us a method for tracking a trend in the long term within a specific national cinema and demonstrates how external forces can drive changes in film content.

Otterbacher studies IMDb reviews to see how gender relates to review writing and how ranking systems shape what becomes visible. She finds differences in writing patterns and also shows that platform voting and ranking can lead to unequal outcomes in which reviews get highlighted. The main point is that “what people see” on a review site is not neutral, because visibility depends on social feedback and platform design. This matters for our project because we may use ratings and reviews to talk about audience opinion. This article reminds us that review platforms can amplify some voices more than others, which can affect the overall impression of a film. One limitation is that IMDb is not Letterboxd, and features differ across platforms, but the general issue of bias and visibility still applies.

Scholz critically examines the relationship between the literature and its adaptation film, arguing that rather than overreliance on the fidelity model, “transnational reception” is the key basis of the film adaptation. The paper highlights that the intertextual dynamics are material dynamics, which relate the social structure of a given time and place to the representation of that structure in film. Through elaborating on the examples of Ang Lee’s Sense and Sensibility(1995), the West Germany adapted version of the Bridge on the River Kwai(1957) in the late 1950s, the paper analyzed how directors incorporated the contemporary time and cultural background to engage the audience and blend filmmakers themselves into the deeper thinking of the cultural struggles through specific national and historical lenses. The article elucidates the importance and the link between films and cultural background, demonstrating how film genre (especially the adaptation films) reflects the cultural and social background of the different film markets.

In this paper, Michał Szawerna argues that genres cannot be represented as rigid categories due to their overlapping, complex nature. Movies cannot be boxed into a genre, as every element, from characters to lighting to storyline, can influence a particular genre. Szawerna uses existing cognitive linguistic models and film studies to support his argument. This resource is important as it highlights that genres are not studied enough despite being a prominent characteristic to describe films, and are a lot more nuanced. For our project, this paper is key for us to understand how to decide which movie belongs to which genre. We need to be mindful that movies cannot be boxed into a genre, and it is possible that different cultures might assign movies to genres based on a different scale. In order to properly assess genre shifts, we need to understand the metrics used to assign each genre.

The resource argues that a film genre is primarily based on initial perception rather than unfolding events. Visch and Tan conducted an experiment in which they showed clips for 16 different filmic combinations without audio to a set of participants. From these short clips, they prompted their participants to indicate what genre they believed the movie was. The results revealed that lighting and initial scenes (even without plot and audio) are great indicators for genres. This resource is important because it shows that narrative (primarily storyline) is not the only indicator of genre. Characters, lighting, camera angles, and perception are equally important in determining what genre a film is. For our project, this is important as it shows us that thematic elements are quite important in determining a specific genre, and we might explore how these elements range over different cultures.

Wang and Zhang, in this study, propose a machine learning method to predict movie genre preferences based on demographic and behavioral data. The data is collected from over one thousand responders, and the authors compare logistics regression and support vector machine models to classify genre preferences. This study highlights the usefulness of data-driven decision-making when it comes to genre prediction, which also shows that there is behavioral, maybe even cultural data that can be used to predict genre preferences accurately.

White and Hider explore the regional variations in film classification, arguing that genre labels are not merely functional tags but are shaped by specific cultural traditions, local institutional and curatorial histories, and regional collection priorities. By comparing genre vocabularies from the Australian Centre for Moving Images (ACMI), the British Film Institute (BFI), and the American Film Institute (AFI), the authors challenge the assumption that English-speaking populations share a singular vocabulary for categorizing films. The study found the ACMI had 180 terms related to film genre, which is substantially more than those used by BFI (28 terms) and AFI (29 terms). This suggests that while there is an international common language of film, regional institutions often develop specific sub-genres to capture local cultural nuances. For our research project, this source is critical as it highlights the gap in descriptive specificity in movie metadata across the world. It emphasizes that a dataset like TMDB might be flattening the region-specific identities and that our analysis must be sensitive to the fact that genre is also a reflection of local curatorial heritage, not just an objective universal system of organization.