{"title":"言外之意:一种混合RNN架构来检测电影中的偏见","authors":"Shahana Nandy, Ankith Suresh","doi":"10.1109/icccs55155.2022.9846573","DOIUrl":null,"url":null,"abstract":"Watching movies is considered the most popular pastime today. Keeping in mind research that has indicated that adolescents imbibe social behavior from movies, we propose a hybrid deep learning model to detect the degree of prejudice (sexism, racism, ableism, xenophobia, homophobia etc) in movies. Using a stacked bi-LSTM and XGBoost model to make predictions, we compared the percentage of prejudice in movies from two time periods (1975-2000 and 2001-2020). Further, we compared animated movies from production houses like Disney, Pixar with movies often rated R or PG-18 by Motion Picture Content Rating Boards. The results showed that the percentage of prejudice has been significantly reduced in the newer decades, and that, surprisingly, movies intended for a younger target audience, on average, perpetuate more prejudice than those meant for late teenagers and adults.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reading between the lines: A hybrid RNN architecture to detect prejudice in movies\",\"authors\":\"Shahana Nandy, Ankith Suresh\",\"doi\":\"10.1109/icccs55155.2022.9846573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Watching movies is considered the most popular pastime today. Keeping in mind research that has indicated that adolescents imbibe social behavior from movies, we propose a hybrid deep learning model to detect the degree of prejudice (sexism, racism, ableism, xenophobia, homophobia etc) in movies. Using a stacked bi-LSTM and XGBoost model to make predictions, we compared the percentage of prejudice in movies from two time periods (1975-2000 and 2001-2020). Further, we compared animated movies from production houses like Disney, Pixar with movies often rated R or PG-18 by Motion Picture Content Rating Boards. The results showed that the percentage of prejudice has been significantly reduced in the newer decades, and that, surprisingly, movies intended for a younger target audience, on average, perpetuate more prejudice than those meant for late teenagers and adults.\",\"PeriodicalId\":121713,\"journal\":{\"name\":\"2022 7th International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icccs55155.2022.9846573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icccs55155.2022.9846573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reading between the lines: A hybrid RNN architecture to detect prejudice in movies
Watching movies is considered the most popular pastime today. Keeping in mind research that has indicated that adolescents imbibe social behavior from movies, we propose a hybrid deep learning model to detect the degree of prejudice (sexism, racism, ableism, xenophobia, homophobia etc) in movies. Using a stacked bi-LSTM and XGBoost model to make predictions, we compared the percentage of prejudice in movies from two time periods (1975-2000 and 2001-2020). Further, we compared animated movies from production houses like Disney, Pixar with movies often rated R or PG-18 by Motion Picture Content Rating Boards. The results showed that the percentage of prejudice has been significantly reduced in the newer decades, and that, surprisingly, movies intended for a younger target audience, on average, perpetuate more prejudice than those meant for late teenagers and adults.