A cinenurducation activity using Call the Midwife to teach about sexually transmitted infections and preeclampsia: design, implementation, and assessment.

BACKGROUND: Nursing students need to learn about sexually transmitted infections and preeclampsia. Cinenureducation is a rigorous method that uses materials from commercial movies or television series to teach health sciences students. OBJECTIVES: Using content analysis of the television series Call the Midwife, design a cinenureducation activity teaching nursing students about sexually transmitted infections and preeclampsia. Evaluate its effectiveness in knowledge acquisition. DESIGN, IMPLEMENTATION, AND PRE-POST ASSESSMENT OF KNOWLEDGE GAIN FOR TEACHING ACTIVITIES: The study comprised three main steps: designing the teaching activity, implementing it, and analyzing its pedagogical effectiveness through a pre-and-post study to assess knowledge acquisition resulting from the teaching activity. PARTICIPANTS: A six-member panel assessed the suitability of materials for the teaching goals. All second-year undergraduate nursing students in the course "Nursing management and leadership" at a nursing school in the 2022-2023 academic year were invited to participate (N = 160). METHODS: The panel conducted a content analysis of the first two seasons of the series to determine the usefulness of each episode for teaching the chosen topics. Students were randomly assigned to groups watching episodes emphasizing either sexually transmitted infections or preeclampsia, followed by discussion. Learning was gauged through a pre-post viewing 20-question multiple-choice test. Additionally, students' satisfaction was evaluated. RESULTS: A total of 142 nursing students participated. Significant differences between mean scores before and after intervention were found [6.90 vs. 6.42 on the preintervention assessment, p < 0.05; mean gain, 0.49 (95 % CI: 0.22-0.76)]. Most students were satisfied with the activity. CONCLUSIONS: The activity was useful for teaching about sexually transmitted infections and preeclampsia. The use of a television series portraying nurses enables the exploration of these critical topics. This has potential implications for integrating similar methods into nurse education curricula, emphasizing the broader impact of the research on pedagogical practices in healthcare education.

Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis.

Societal ideas and trends dictate media narratives and cinematic depictions which in turn influence people's beliefs and perceptions of the real world. Media portrayal of individuals and social institutions related to culture, education, government, religion, and family affect their function and evolution over time as people perceive and incorporate the representations from portrayals into their everyday lives. It is important to study media depictions of social structures so that they do not propagate or reinforce negative stereotypes, or discriminate against a particular section of the society. In this work, we examine media representation of different professions and provide computational insights into their incidence, and sentiment expressed, in entertainment media content. We create a searchable taxonomy of professional groups, synsets, and titles to facilitate their retrieval from short-context speaker-agnostic text passages like movie and television (TV) show subtitles. We leverage this taxonomy and relevant natural language processing models to create a corpus of professional mentions in media content, spanning more than 136,000 IMDb titles over seven decades (1950-2017). We analyze the frequency and sentiment trends of different occupations, study the effect of media attributes such as genre, country of production, and title type on these trends, and investigate whether the incidence of professions in media subtitles correlate with their real-world employment statistics. We observe increased media mentions over time of STEM, arts, sports, and entertainment occupations in the analyzed subtitles, and a decreased frequency of manual labor jobs and military occupations. The sentiment expressed toward lawyers, police, and doctors showed increasing negative trends over time, whereas the mentions about astronauts, musicians, singers, and engineers appear more favorably. We found that genre is a good predictor of the type of professions mentioned in movies and TV shows. Professions that employ more people showed increased media frequency.

Popular media as a double-edged sword: An entertainment narrative analysis of the controversial Netflix series 13 Reasons Why.

13 Reasons Why is a Netflix original series adapted from Jay Asher's 2007 young adult novel with the same title. Season 1 premiered on March 31, 2017 and featured the sensitive issue of teen suicide along with bullying, substance use, depression, and sexual assault. Unlike the typical teen dramas on popular streaming platforms, this show was created not only for entertainment, but also to stimulate conversations about taboo topics that people often shy away from. However, it also caused significant controversy, especially criticism around the main character Hannah's suicide scene. More than three years into the initial controversy and at least two dozen scholarly publications later, this study is the first to examine the entertainment narrative content of 13 Reasons Why Season 1 to better understand how these health and social issues were portrayed in the show, what specific examples we could identify as potential behavioral modeling, and to what degree it complied with the 2017 WHO guidelines for media professionals. We used the framing theory and social cognitive theory in communication research and media studies as our guiding conceptual frameworks and a narrative analysis approach to investigate a total of 660 cut scenes in all 13 episodes. Our findings provided empirical evidence, along with contextual information and detailed examples, to demonstrate that a popular entertainment program like the Netflix series 13 Reasons Why serves as a double-edged sword. The production team's good will and due diligence are commendable. Yet, additional steps can be taken in the future to effectively promote professional resources and reduce viewers' risks, especially the most vulnerable groups.

Movie viewing elicits rich and reliable brain state dynamics.

Adaptive brain function requires that sensory impressions of the social and natural milieu are dynamically incorporated into intrinsic brain activity. While dynamic switches between brain states have been well characterised in resting state acquisitions, the remodelling of these state transitions by engagement in naturalistic stimuli remains poorly understood. Here, we show that the temporal dynamics of brain states, as measured in fMRI, are reshaped from predominantly bistable transitions between two relatively indistinct states at rest, toward a sequence of well-defined functional states during movie viewing whose transitions are temporally aligned to specific features of the movie. The expression of these brain states covaries with different physiological states and reflects subjectively rated engagement in the movie. In sum, a data-driven decoding of brain states reveals the distinct reshaping of functional network expression and reliable state transitions that accompany the switch from resting state to perceptual immersion in an ecologically valid sensory experience.

Tobacco and tobacco branding in films most popular in the UK from 2009 to 2017.

BACKGROUND: Exposure to tobacco content in films is a cause of smoking uptake in young people. In an earlier study, we reported that tobacco content occurred in 70% of UK box office films popular between 1989 and 2008. We now report an analysis of tobacco content in a sample of the top grossing UK box office films between 2009 and 2017, and of population exposure resulting from audience exposure to the 2017 films. METHODS: Occurrence of tobacco intervals (actual tobacco use, implied use, appearance of smoking paraphernalia or branding) was measured by 5 min interval coding in the 15 most commercially successful films in the UK in each year from 2009 to 2017. A nationally representative survey was used to estimate population exposure to the top 15 films from 2017. RESULTS: We coded 3248 intervals from the 135 films. Tobacco content appeared in 245 intervals (8%, 95% CI 7% to 9%) across 56 (41%, 95% CI 33% to 49%) films. Tobacco content occurred in films in all BBFC age ratings, and 36 (64%, 95% CI 51% to 77%) of films containing tobacco imagery were classified as suitable for viewing by people aged under 15 years. Although less prevalent than in our earlier study, there was no evidence of a secular decline in tobacco content during this study period. The top 15 films from 2017 delivered approximately 21.6 (95% CI 21.06-22.14) million tobacco impressions to young people aged 10-18 years in the UK. CONCLUSIONS: Tobacco content continues to appear in UK Box Office films and is widely seen by young people, representing a major driver of smoking uptake.

Movie Review Summarization Using Supervised Learning and Graph-Based Ranking Algorithm.

With the growing information on web, online movie review is becoming a significant information resource for Internet users. However, online users post thousands of movie reviews on daily basis and it is hard for them to manually summarize the reviews. Movie review mining and summarization is one of the challenging tasks in natural language processing. Therefore, an automatic approach is desirable to summarize the lengthy movie reviews, and it will allow users to quickly recognize the positive and negative aspects of a movie. This study employs a feature extraction technique called bag of words (BoW) to extract features from movie reviews and represent the reviews as a vector space model or feature vector. The next phase uses Naïve Bayes machine learning algorithm to classify the movie reviews (represented as feature vector) into positive and negative. Next, an undirected weighted graph is constructed from the pairwise semantic similarities between classified review sentences in such a way that the graph nodes represent review sentences, while the edges of graph indicate semantic similarity weight. The weighted graph-based ranking algorithm (WGRA) is applied to compute the rank score for each review sentence in the graph. Finally, the top ranked sentences (graph nodes) are chosen based on highest rank scores to produce the extractive summary. Experimental results reveal that the proposed approach is superior to other state-of-the-art approaches.

Long-term patterns of gender imbalance in an industry without ability or level of interest differences.

Female representation has been slowly but steadily increasing in many sectors of society. One sector where one would expect to see gender parity is the movie industry, yet the representation of females in most functions within the U.S. movie industry remain surprisingly low. Here, we study the historical patterns of female representation among actors, directors, and producers in an attempt to gain insights into the possible causes of the lack of gender parity in the industry. Our analyses reveals a remarkable temporal coincidence between the collapse in female representation across all functions and the advent of the Studio System, a period when the major Hollywood studios controlled all aspects of the industry. Female representation among actors, directors, producers and writers dropped to extraordinarily low values during the emergence and consolidation of the Studio System that in some cases have not yet recovered to pre-Studio System levels. In order to explore some possible mechanisms behind these patterns, we investigate the association between the gender balance of actors, writers, directors, and producers and a number of economic indicators, movie industry indicators, and movie characteristics. We find robust, strong, and significant associations which are consistent with an important role for the gender of decision makers on the gender balance of other industry functions. While in no way demonstrating causality, our findings add new perspectives to the discussions of the reasons for female under-representation in fields such as computer science and medicine, that have also experienced dramatic changes in female representation.

Content analysis of tobacco in episodic programming popular among youth and young adults.

BACKGROUND: While evidence exists supporting a causal relationship between exposure to tobacco content in movies and youth smoking, research is limited on the prevalence and impact of tobacco content in episodic programming aired on television (TV) and online streaming platforms. The purpose of this study was to analyse episodic programming popular among young people to estimate the prevalence of tobacco imagery. METHODS: An online survey of participants aged 15-24 years (n=750) recruited from an existing panel was used to gauge viewership of episodic programming aired on Netflix, broadcast TV and cable TV. Two trained coders independently watched the entire 2015/2016 and 2016/2017 seasons of 14 programmes aired on a streaming platform, Netflix, and across broadcast and cable TV. The coding scheme was based on existing methods which involve documenting both the type of tobacco product featured and, if applicable, user information. RESULTS: Eighty-six per cent of Netflix programmes and 86% of broadcast and cable TV programmes had at least one occurrence of tobacco. Netflix programmes had more total occurrences (n=1185) compared with the broadcast or cable programmes (n=482). Most of the tobacco occurrences included cigarettes being actively used by a character. CONCLUSIONS: Given the high prevalence of tobacco use found in these entertainment channels, the level of exposure to tobacco use among youth and young adults is very concerning and is serving to circumvent the restrictions of tobacco advertising on broadcast TV. Further research is needed to understand the influence of this exposure on smoking behaviour.

Assessment of tobacco imagery and compliance with tobacco-free rules in popular Indian films.

BACKGROUND: Exposure to smoking in films causes smoking uptake among adolescents. Investigation of the extent to which tobacco imagery appears, or tobacco control laws are complied with in Indian films is limited, and especially so for films in regional languages. This study presents an analysis of tobacco content and compliance with tobacco control laws in popular films in several languages from the Karnataka state of India. METHODS: We used 5 min interval coding to measure actual tobacco use, implied tobacco use, tobacco paraphernalia and tobacco branding in the top 10 films identified from national box office ratings and regional distributor reports in Karnataka in 2015 and 2016. We also assessed compliance with tobacco-free film rules in India. FINDINGS: A total of 47 films, in English, Hindi, Malayalam, Tamil, Telugu and Tulu languages were coded. Any tobacco imagery was observed in 72% of films, and actual tobacco use in 50%. Tobacco imagery was equally prevalent in films classified as suitable for universal viewing (U category) or at age 12 or more (U/A category) films; and significantly more common in films made in regional than national language (Hindi). None of the films were fully compliant with legal requirements on health spots, audiovisual disclaimers and health warnings. CONCLUSIONS: Tobacco content was common in films classified as suitable for viewing by children, more among regional than national languages. Compliance with tobacco control laws was low. Stricter enforcement of tobacco-free film rules will protect children and adolescents from exposure to tobacco use on screen.

Viewing images of alcohol use in PG-13-rated movies and alcohol initiation in Mexican-heritage youth.

Mexican American adolescents report high rates of alcohol consumption as well as media use. Viewing alcohol images in the media is associated with increased alcohol consumption; however, to date, this association has not been examined across different ethnic groups in the United States. To bridge this gap, we examined the association between viewing alcohol use images in PG-13-rated movies and alcohol initiation in Mexican-heritage adolescents. A cohort of 1,154 Mexican-heritage youth, average age 14 years, was followed for 2 years; in 2008-2009, participants reported alcohol use in the past 30 days and again in 2010-2011. Exposure to alcohol use images in PG-13-rated movies was estimated from 50 movies randomly selected from a pool of 250 of the top box office hits in the United States using previously validated methods. A series of generalized linear models, adjusting for age, gender, peer and family alcohol use, family functioning, anxiety, sensation-seeking tendency, and acculturation were completed. Multiple imputation was utilized to address missing data. Overall, N = 652 participants reported no alcohol use in 2008-2009; by 2010-2011, 33.6% (n = 219) had initiated alcohol use. Adjusted models indicated an independent association between exposure to alcohol use images in PG-13-rated movies and alcohol initiation (comparing quartiles 3 to 1: RR =1.53; 95% CI [1.11, 2.10]). The findings emphasize that the relationship between viewing alcohol use scenes in American films and alcohol initiation holds among Mexican-heritage adolescents and underscore the need to limit adolescents' exposure to such powerful images in PG-13-rated movies.

Sexual Consent Communication in Best-Selling Pornography Films: A Content Analysis.

Even though young people report learning about sex from pornography, most do not think this sexual medium teaches them about sexual consent communication. But research shows that people are also able to evaluate pornography as consensual or not. Therefore, we proposed that pornography depicts subtle sexual scripts regarding sexual consent communication. We conducted a content analysis of 50 20-minute segments within best-selling pornographic films from 2015. We systematically coded the presence of various consent communication cues in these films. Consent communication was often depicted; nonverbal cues were more frequent than verbal cues. We found that the films either directly or indirectly supported several sexual scripts: Explicit Verbal Consent Isn't Natural, Women are Indirect/Men are Direct, Sex Can Happen Without Ongoing Communication, Lower-Order Behaviors Don't Need Explicit Consent, and People Receiving Sexual Behaviors Can Consent by Doing Nothing. Further research is needed to examine whether viewers are acquiring, activating, or applying these scripts. Sex education programs could benefit from acknowledging how consent communication is modeled in pornography and by teaching about pornography literacy.

Tobacco Use in Top-Grossing Movies - United States, 2010-2018.

The Surgeon General has concluded that there is a causal relationship between depictions of smoking in movies and initiation of smoking among young persons (1). Youths heavily exposed to onscreen smoking imagery are more likely to begin smoking than are those with minimal exposure (1,2). To assess tobacco-use imagery in top-grossing youth-rated movies (General Audiences [G], Parental Guidance [PG], and Parents Strongly Cautioned [PG-13]),* 2010-2018 data from the Breathe California Sacramento Region and University of California-San Francisco's Onscreen Tobacco Database were analyzed.† The percentage of all top-grossing movies with tobacco incidents remained stable from 2010 (45%) to 2018 (46%), including youth-rated movies (31% both years). However, total tobacco incidents increased 57% from 2010 to 2018, with a 120% increase in PG-13 movies. Tobacco incidents in PG-13 fictional movies declined 57% from 511 in 2010 to an all-time low of 221 in 2018. Although the number of PG-13 fictional movies with tobacco incidents declined 40% during 2010-2018, the number of PG-13 biographical dramas with tobacco incidents increased 233%. In 2018, biographical dramas accounted for most tobacco incidents, including 82% of incidents in PG-13 movies; 73% of characters who used tobacco in these biographical dramas were fictional. Continued efforts could help reduce tobacco incidents in top-grossing movies, particularly in PG-13 biographical dramas, to help prevent youth smoking initiation.

Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning-based 2D pose estimator.

OBJECTIVE: Gait movies recorded in daily clinical practice are usually not filmed with specific devices, which prevents neurologists benefitting from leveraging gait analysis technologies. Here we propose a novel unsupervised approach to quantifying gait features and to extract cadence from normal and parkinsonian gait movies recorded with a home video camera by applying OpenPose, a deep learning-based 2D-pose estimator that can obtain joint coordinates from pictures or videos recorded with a monocular camera. METHODS: Our proposed method consisted of two distinct phases: obtaining sequential gait features from movies by extracting body joint coordinates with OpenPose; and estimating cadence of periodic gait steps from the sequential gait features using the short-time pitch detection approach. RESULTS: The cadence estimation of gait in its coronal plane (frontally viewed gait) as is frequently filmed in the daily clinical setting was successfully conducted in normal gait movies using the short-time autocorrelation function (ST-ACF). In cases of parkinsonian gait with prominent freezing of gait and involuntary oscillations, using ACF-based statistical distance metrics, we quantified the periodicity of each gait sequence; this metric clearly corresponded with the subjects' baseline disease statuses. CONCLUSION: The proposed method allows us to analyze gait movies that have been underutilized to date in a completely data-driven manner, and might broaden the range of movies for which gait analyses can be conducted.

Construction and Validation of an Analytical Grid about Video Representations of Suicide ("MoVIES").

Background. Exposure to fictional suicide scenes raises concerns about the risk of suicide contagion. However, researchers and clinicians still lack empirical evidence to estimate this risk. Here, we propose a theory-grounded tool that measures properties related to aberrant identification and suicidal contagion of potentially harmful suicide scenes. Methods. The items of the Movies and Video: Identification and Emotions in reaction to Suicide (MoVIES) operationalize the World Health Organization's recommendations for media coverage of suicide, and were adapted and completed with identification theory principles and cinematographic evidence. Inter-rater reliability (Cohen's kappa) and internal consistency (Cronbach's alpha) were estimated and optimized for two series of 19 and 30 randomly selected movies depicting a suicide scene. The validity of the scale in predicting identification with the suicidal character was tested in nine unknowledgeable participants who watched seven suicide movie scenes each. Results. The MoVIES indicated satisfying psychometric properties with kappas measured at 0.7 or more for every item and a global internal consistency of [α = 0.05]. The MoVIES score significantly predicted participants' strength of identification independently from their baseline empathy ((ß = 0.20), p < 0.05). Conclusions. The MoVIES is available to scholars as a valid, reliable, and useful tool to estimate the amount of at-risk components of fictional suicidal behavior depicted in films, series, or television shows.

The universal decay of collective memory and attention.

Collective memory and attention are sustained by two channels: oral communication (communicative memory) and the physical recording of information (cultural memory). Here, we use data on the citation of academic articles and patents, and on the online attention received by songs, movies and biographies, to describe the temporal decay of the attention received by cultural products. We show that, once we isolate the temporal dimension of the decay, the attention received by cultural products decays following a universal biexponential function. We explain this universality by proposing a mathematical model based on communicative and cultural memory, which fits the data better than previously proposed log-normal and exponential models. Our results reveal that biographies remain in our communicative memory the longest (20-30 years) and music the shortest (about 5.6 years). These findings show that the average attention received by cultural products decays following a universal biexponential function.

The loosening of American culture over 200 years is associated with a creativity-order trade-off.

For many years, scientists have studied culture by comparing societies, regions or social groups within a single point in time. However, culture is always changing, and this change affects the evolution of cognitive processes and behavioural practices across and within societies. Studies have now documented historical changes in sexism1, individualism2,3, language use4 and music preferences5 within the United States and around the world6. Here we build on these efforts by examining changes in cultural tightness-looseness (the strength of cultural norms and tolerance for deviance) over time, using the United States as a case study. We first develop a new linguistic measure to measure historical changes in tightness-looseness. Analyses show that America grew progressively less tight (i.e., looser) from 1800 to 2000. We next examine how changes in tightness-looseness relate to four indicators of societal order: debt (adjusted for inflation), adolescent pregnancies and crime, and high school attendance, as well as four indicators of creative output: registered patents, trademarks, feature films produced, and baby-naming conformity. We find that cultural tightness correlates negatively with each measure of creativity, and correlates positively with three out of four measures of societal order (fewer adolescent pregnancies, less debt and higher levels of school attendance). These findings imply that the historical loosening of American culture was associated with a trade-off between higher creativity but lower order.

On the influence of low-level visual features in film classification.

BACKGROUND: In this paper we present a model of parameters to aesthetically characterize films using a multi-disciplinary approach: by combining film theory, visual low-level video descriptors (modeled in order to supply aesthetic information) and classification techniques using machine and deep learning. METHODS: Four different tests have been developed, each for a different application, proving the model's usefulness. These applications are: aesthetic style clustering, prediction of production year, genre detection and influence on film popularity. RESULTS: The results are compared against high-level information to determine the accuracy of the model to classify films without knowing such information previously. The main difference with other film characterization approaches is that we are able to isolate the influence of high-level descriptors to really understand the relevance of low-level features and, accordingly propose a useful set of low-level visual descriptors for that purpose. This model has been tested with a representative number of films to prove that it can be used for different applications.

Exposure to Alcohol Use in Movies and Problematic Use of Alcohol: A Longitudinal Study Among Latin American Adolescents.

OBJECTIVE: This study assesses the association between exposure to alcohol in movies and alcohol use transitions among Latin American adolescents. METHOD: A school-based longitudinal study involving 33 secondary schools in Argentina and 57 in Mexico was performed. The baseline sample included 1,504 never drinker adolescents in Argentina and 5,264 in Mexico (mean age = 12.5 years), of whom 1,055 and 3,540, respectively, completed a follow-up survey a year and a half later. Exposure to the 500 popular contemporary films was assessed by querying adolescents on 50 randomly selected titles. Films were content-coded for alcohol and exposure estimated from films seen. Logistic regression models estimated adjusted relative risk (aRR) for the following outcomes, net covariates, at follow-up: use of alcohol (having ever drank), current drinking (drinking in the past 30 days), ever binge drinking (≥ 4 drinks [females] or 5 for males). RESULTS: At follow-up, respective adolescent drinking rates for Mexico and Argentina were 31% and 36% for use of alcohol, 18% and 27% for current drinking, and 8% and 19% for ever binge drinking. Greater exposure to alcohol in movies was independently associated with trying alcohol (aRR = 1.30, 95% CI [1.17, 1.43]), current drinking (aRR = 1.22, 95% CI [1.03, 1.44]), and binge drinking (aRR = 1.71, 95% CI [1.30, 2.25]) in Mexican adolescents, whereas in Argentina, movie alcohol exposure was associated only with trying alcohol (aRR = 1.25, 95% CI [1.02, 1.53]). CONCLUSIONS: Exposure to alcohol in movies predicted underage drinking transitions in these Latin American adolescents, replicating prior results for U.S. and European cohorts.

PG-13 Rated Movie Violence and Societal Violence: is there a Link?

Recent scholarship has suggested that the frequency of violence in PG-13 rated movies has increased in recent years. Although some scholars have expressed concern that such an increase may have public health implications, this has remained untested. In the current article, trends in PG-13 movie violence are tested against trends in violence in society, including both homicides and youth violence. Raw correlations suggest that PG-13 rated movie violence is inversely related to actual violence in society. However, controlling for autocorrelations suggests that the best interpretation is that PG-13 rated movie violence is unrelated to violence in society. Caution is advised for scholars to avoid implying that PG-13 rated movie violence may have a causal effect on crime in society.