2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): L... more 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): Landry Digeon Ph.D. and Anjal Amin developed a method and an image analysis software named "the Möbius Trip." This software runs on deep learning and allows us to gather and manage big data. Our goal is to reverse-engineer TV series episodes and measure cultural and cinematographic elements. We found that there are significantly more male characters in both Law & Order and in Paris Enquêtes Criminelles. Men are portrayed as violent while women are more likely to be portrayed as victims.
Born from a collaboration between a humanities scholar and an artificial intelligence engineer, t... more Born from a collaboration between a humanities scholar and an artificial intelligence engineer, the Möbius Trip is a deep-learning multimodal toolkit that can predict TV series genre based on the combination of color, light, rhythm, and music. Following the tradition of formalist film theorists concerned with the technical elements of motion pictures, and Cultural Analytics, which focuses on computational, visualization, and big-data methods, we seek patterns in the film-making cultural tradition between the US and France. Our results indicate that Transnational TV series Adaptations, the transfer of a show into another culture, also implies a transfer in genre. Our goal is to offer a potent toolkit that can help TV series adaptors make more intentional decisions when adapting a show and make the adapted show more successful.
This pilot study illustrates an empirical cross-cultural comparative analysis of transnational TV... more This pilot study illustrates an empirical cross-cultural comparative analysis of transnational TV series adaptations. It investigates patterns of shot scale distribution in conjunction with gender and display of emotions to uncover and compare cultural representation in France and the US. The study showcases 16 episodes of Law & Order: Criminal Intent and its French adaptation, Paris EnquêtesCriminelles, for a total of 44,602 frames. Relying on the deep learning toolkit, the theMöbius Trip, we propose an objective shot-scale model to frame and quantify a large quantity of data. We propose a layered, four-level reading of the data through intercultural models, media theories, and feminist and psychological approaches to articulate cultural decoding. This study provides insights into the ethics of televisual representations of male and female characters on screen across cultures and the process through which cultural proximity is achieved.
This dissertation examines adaptations of TV series in multiple countries by focusing on transnat... more This dissertation examines adaptations of TV series in multiple countries by focusing on transnational TV series adaptations as an ideal platform to study the complexities of cultural representations and productions in the context of globalization. To conduct my research, I use the popular American TV crime show: Law & Order: Criminal Intent and its French adaptation Paris Enque?tes Criminelles. My research project uses the methods of multimodality, film studies, and intercultural studies, and a new technological approach to analyze transnational TV shows. The goal is to automatically extract and manage big data to uncover trends of cultural representation on screen. To do so, I propose a method, called the Multimodal Intercultural Matrix (MIM) model, that enables reverse engineering a show and to quantify the various elements of the episodes for cultural analysis. The MIM model dissects the show into three cultural categories, named Power, Language, and Society. Each of those categ...
The present research analyzes the inequality of gender representation in transnational TV series.... more The present research analyzes the inequality of gender representation in transnational TV series. For this purpose, a content analysis was carried out on 18 episodes of the US crime show Law & Order: Criminal Intent and its French adaptation Paris Enquêtes Criminelles. To conduct this research, we used the artificial intelligence toolkit the Möbius Trip, which is equipped with a gender and emotion recognition feature and relies on big data. The main findings indicate that male characters overwhelmingly dominate the onscreen time equally in both the US and the French versions. The data also show that male characters are more emotionally expressive and that women tend to display a wider range of emotions. The French characters are slightly more emotionally expressive than their American counterparts. The data also suggest that male characters tend to display violent behavior and that female characters tend to be portrayed as a victim in both versions of the show. The emotions-related ...
View : Journal of European Television History and Culture, 2016
This article elucidates a typology for cross-culturally comparing different versions of televisio... more This article elucidates a typology for cross-culturally comparing different versions of television formats. Digital tools are used to derive quantitative data based on temporal parameters of episode or genre of the narrative structure, content, and sequencing. Type one, which we also call “transposed narratives,” retains the narrative structure and sequencing while extending and expanding the narrative structure to readjust to longer broadcast times. Type two, which we call ‘transmutated narratives,’ re-distributes and re-organizes the narrative structure and sequencing to adjust to both extended broadcast time and other culturally relevant proximity issues. Type three adaptations display genre structure similarities while narrative structure, sequencing and content diverge. These we call ‘derived narratives.’
This article elucidates a typology for cross-culturally comparing different versions of televisio... more This article elucidates a typology for cross-culturally comparing different versions of television formats. Digital tools are used to derive quantitative data based on temporal parameters of episode or genre of the narrative structure, content, and sequencing. Type one, which we also call “transposed narratives,” retains the narrative structure and sequencing while extending and expanding the narrative structure to readjust to longer broadcast times. Type two, which we call ‘transmutated narratives,’ re-distributes and re-organizes the narrative structure and sequencing to adjust to both extended broadcast time and other culturally relevant proximity issues. Type three adaptations display genre structure similarities while narrative structure, sequencing and content diverge. These we call ‘derived narratives.’
The present research analyzes the inequality of gender representation in transnational TV series.... more The present research analyzes the inequality of gender representation in transnational TV series. For this purpose, a content analysis was carried out on 18 episodes of the US crime show Law & Order: Criminal Intent and its French adaptation Paris Enquêtes Criminelles. To conduct this research, we used the artificial intelligence toolkit the Möbius Trip, which is equipped with a gender and emotion recognition feature and relies on big data. The main findings indicate that male characters overwhelmingly dominate the onscreen time equally in both the US and the French versions. The data also show that male characters are more emotionally expressive and that women tend to display a wider range of emotions. The French characters are slightly more emotionally expressive than their American counterparts. The data also suggest that male characters tend to display violent behavior and that female characters tend to be portrayed as a victim in both versions of the show. The emotions-related results show a trend, but the difference of emotions between male and female characters and between the French and American cultures remain fairly narrow.
This article elucidates a typology for cross-culturally comparing different versions of televisio... more This article elucidates a typology for cross-culturally comparing different versions of television formats. Digital tools are used to derive quantitative data based on temporal parameters of episode or genre of the narrative structure, content, and sequencing. Type one, which we also call " transposed narratives, " retains the narrative structure and sequencing while extending and expanding the narrative structure to readjust to longer broadcast times. Type two, which we call 'transmutated narratives,' redistributes and reorganizes the narrative structure and sequencing to adjust to both extended broadcast time and other culturally relevant proximity issues. Type three adaptations display genre structure similarities while narrative structure, sequencing and content diverge. These we call 'derived narratives.'
Media Literacy and Academic Research is a high-quality open access peer- reviewed journal focused... more Media Literacy and Academic Research is a high-quality open access peer- reviewed journal focused on the academic reflection of media and information literacy issues, media education, critical thinking, digital media and new trends in related areas of media and communication studies. The journal is devoted to addressing contemporary issues and future developments related to the interdisciplinary academic discussion, the results of empirical research and the mutual interaction of expertise in media and information studies, education studies as well as their sociological, psychological, political, linguistic and technological aspects.
Media Literacy and Academic Research - Vol.4, No.1 (2021)
Content:
(1)Transnational TV Series Adaptations: What Artificial Intelligence Can Tell US About Gender Inequality in France and the UsCritical Media Literacy in the Googleburg Galaxy. (2) Explanatory Journalism – A New Way How to Communicate in Digital Era. (3) A Qualitative Study on People’s Experiences of Covid-19 Media Literacy. (4) Security Risks of Sharing Content Based on Minors by Their Family Members On Social Media In Times Of Technology Interference. (5) The Slogan Effect: The Power of Brand Discourse in Liking and Purchasing Behaviour. (6) Asynchronous and Synchronous Distance Learning of English as a Foreign Language. (7) Media Development in Post-Conflict Societies (Kosovo Case). (8) On Perspectives of Teacher Training and Understanding of Their Digital Competencies as Determinants of Digital Education. (9) Self-Government Activity on Social Media as an Information Source to Cover Local Issues: Slovak And Ukrainian Journalists’ Views. (10) Media Literacy and Mobilizing Children: The Image of Child in Automobile Ads. (11) „Media Invasion“ Against Islam in the Context of the Slovak Republic. (12) Privacy on the Internet Concerning Generation Z in Bosnia and Herzegovina.
2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): L... more 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM): Landry Digeon Ph.D. and Anjal Amin developed a method and an image analysis software named "the Möbius Trip." This software runs on deep learning and allows us to gather and manage big data. Our goal is to reverse-engineer TV series episodes and measure cultural and cinematographic elements. We found that there are significantly more male characters in both Law & Order and in Paris Enquêtes Criminelles. Men are portrayed as violent while women are more likely to be portrayed as victims.
Born from a collaboration between a humanities scholar and an artificial intelligence engineer, t... more Born from a collaboration between a humanities scholar and an artificial intelligence engineer, the Möbius Trip is a deep-learning multimodal toolkit that can predict TV series genre based on the combination of color, light, rhythm, and music. Following the tradition of formalist film theorists concerned with the technical elements of motion pictures, and Cultural Analytics, which focuses on computational, visualization, and big-data methods, we seek patterns in the film-making cultural tradition between the US and France. Our results indicate that Transnational TV series Adaptations, the transfer of a show into another culture, also implies a transfer in genre. Our goal is to offer a potent toolkit that can help TV series adaptors make more intentional decisions when adapting a show and make the adapted show more successful.
This pilot study illustrates an empirical cross-cultural comparative analysis of transnational TV... more This pilot study illustrates an empirical cross-cultural comparative analysis of transnational TV series adaptations. It investigates patterns of shot scale distribution in conjunction with gender and display of emotions to uncover and compare cultural representation in France and the US. The study showcases 16 episodes of Law & Order: Criminal Intent and its French adaptation, Paris EnquêtesCriminelles, for a total of 44,602 frames. Relying on the deep learning toolkit, the theMöbius Trip, we propose an objective shot-scale model to frame and quantify a large quantity of data. We propose a layered, four-level reading of the data through intercultural models, media theories, and feminist and psychological approaches to articulate cultural decoding. This study provides insights into the ethics of televisual representations of male and female characters on screen across cultures and the process through which cultural proximity is achieved.
This dissertation examines adaptations of TV series in multiple countries by focusing on transnat... more This dissertation examines adaptations of TV series in multiple countries by focusing on transnational TV series adaptations as an ideal platform to study the complexities of cultural representations and productions in the context of globalization. To conduct my research, I use the popular American TV crime show: Law & Order: Criminal Intent and its French adaptation Paris Enque?tes Criminelles. My research project uses the methods of multimodality, film studies, and intercultural studies, and a new technological approach to analyze transnational TV shows. The goal is to automatically extract and manage big data to uncover trends of cultural representation on screen. To do so, I propose a method, called the Multimodal Intercultural Matrix (MIM) model, that enables reverse engineering a show and to quantify the various elements of the episodes for cultural analysis. The MIM model dissects the show into three cultural categories, named Power, Language, and Society. Each of those categ...
The present research analyzes the inequality of gender representation in transnational TV series.... more The present research analyzes the inequality of gender representation in transnational TV series. For this purpose, a content analysis was carried out on 18 episodes of the US crime show Law & Order: Criminal Intent and its French adaptation Paris Enquêtes Criminelles. To conduct this research, we used the artificial intelligence toolkit the Möbius Trip, which is equipped with a gender and emotion recognition feature and relies on big data. The main findings indicate that male characters overwhelmingly dominate the onscreen time equally in both the US and the French versions. The data also show that male characters are more emotionally expressive and that women tend to display a wider range of emotions. The French characters are slightly more emotionally expressive than their American counterparts. The data also suggest that male characters tend to display violent behavior and that female characters tend to be portrayed as a victim in both versions of the show. The emotions-related ...
View : Journal of European Television History and Culture, 2016
This article elucidates a typology for cross-culturally comparing different versions of televisio... more This article elucidates a typology for cross-culturally comparing different versions of television formats. Digital tools are used to derive quantitative data based on temporal parameters of episode or genre of the narrative structure, content, and sequencing. Type one, which we also call “transposed narratives,” retains the narrative structure and sequencing while extending and expanding the narrative structure to readjust to longer broadcast times. Type two, which we call ‘transmutated narratives,’ re-distributes and re-organizes the narrative structure and sequencing to adjust to both extended broadcast time and other culturally relevant proximity issues. Type three adaptations display genre structure similarities while narrative structure, sequencing and content diverge. These we call ‘derived narratives.’
This article elucidates a typology for cross-culturally comparing different versions of televisio... more This article elucidates a typology for cross-culturally comparing different versions of television formats. Digital tools are used to derive quantitative data based on temporal parameters of episode or genre of the narrative structure, content, and sequencing. Type one, which we also call “transposed narratives,” retains the narrative structure and sequencing while extending and expanding the narrative structure to readjust to longer broadcast times. Type two, which we call ‘transmutated narratives,’ re-distributes and re-organizes the narrative structure and sequencing to adjust to both extended broadcast time and other culturally relevant proximity issues. Type three adaptations display genre structure similarities while narrative structure, sequencing and content diverge. These we call ‘derived narratives.’
The present research analyzes the inequality of gender representation in transnational TV series.... more The present research analyzes the inequality of gender representation in transnational TV series. For this purpose, a content analysis was carried out on 18 episodes of the US crime show Law & Order: Criminal Intent and its French adaptation Paris Enquêtes Criminelles. To conduct this research, we used the artificial intelligence toolkit the Möbius Trip, which is equipped with a gender and emotion recognition feature and relies on big data. The main findings indicate that male characters overwhelmingly dominate the onscreen time equally in both the US and the French versions. The data also show that male characters are more emotionally expressive and that women tend to display a wider range of emotions. The French characters are slightly more emotionally expressive than their American counterparts. The data also suggest that male characters tend to display violent behavior and that female characters tend to be portrayed as a victim in both versions of the show. The emotions-related results show a trend, but the difference of emotions between male and female characters and between the French and American cultures remain fairly narrow.
This article elucidates a typology for cross-culturally comparing different versions of televisio... more This article elucidates a typology for cross-culturally comparing different versions of television formats. Digital tools are used to derive quantitative data based on temporal parameters of episode or genre of the narrative structure, content, and sequencing. Type one, which we also call " transposed narratives, " retains the narrative structure and sequencing while extending and expanding the narrative structure to readjust to longer broadcast times. Type two, which we call 'transmutated narratives,' redistributes and reorganizes the narrative structure and sequencing to adjust to both extended broadcast time and other culturally relevant proximity issues. Type three adaptations display genre structure similarities while narrative structure, sequencing and content diverge. These we call 'derived narratives.'
Media Literacy and Academic Research is a high-quality open access peer- reviewed journal focused... more Media Literacy and Academic Research is a high-quality open access peer- reviewed journal focused on the academic reflection of media and information literacy issues, media education, critical thinking, digital media and new trends in related areas of media and communication studies. The journal is devoted to addressing contemporary issues and future developments related to the interdisciplinary academic discussion, the results of empirical research and the mutual interaction of expertise in media and information studies, education studies as well as their sociological, psychological, political, linguistic and technological aspects.
Media Literacy and Academic Research - Vol.4, No.1 (2021)
Content:
(1)Transnational TV Series Adaptations: What Artificial Intelligence Can Tell US About Gender Inequality in France and the UsCritical Media Literacy in the Googleburg Galaxy. (2) Explanatory Journalism – A New Way How to Communicate in Digital Era. (3) A Qualitative Study on People’s Experiences of Covid-19 Media Literacy. (4) Security Risks of Sharing Content Based on Minors by Their Family Members On Social Media In Times Of Technology Interference. (5) The Slogan Effect: The Power of Brand Discourse in Liking and Purchasing Behaviour. (6) Asynchronous and Synchronous Distance Learning of English as a Foreign Language. (7) Media Development in Post-Conflict Societies (Kosovo Case). (8) On Perspectives of Teacher Training and Understanding of Their Digital Competencies as Determinants of Digital Education. (9) Self-Government Activity on Social Media as an Information Source to Cover Local Issues: Slovak And Ukrainian Journalists’ Views. (10) Media Literacy and Mobilizing Children: The Image of Child in Automobile Ads. (11) „Media Invasion“ Against Islam in the Context of the Slovak Republic. (12) Privacy on the Internet Concerning Generation Z in Bosnia and Herzegovina.
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Media Literacy and Academic Research - Vol.4, No.1 (2021)
Content:
(1)Transnational TV Series Adaptations: What Artificial Intelligence Can Tell US About Gender Inequality in France and the UsCritical Media Literacy in the Googleburg Galaxy.
(2) Explanatory Journalism – A New Way How to Communicate in Digital Era.
(3) A Qualitative Study on People’s Experiences of Covid-19 Media Literacy.
(4) Security Risks of Sharing Content Based on Minors by Their Family Members On Social Media In Times Of Technology Interference.
(5) The Slogan Effect: The Power of Brand Discourse in Liking and Purchasing Behaviour.
(6) Asynchronous and Synchronous Distance Learning of English as a Foreign Language.
(7) Media Development in Post-Conflict Societies (Kosovo Case).
(8) On Perspectives of Teacher Training and Understanding of Their Digital Competencies as Determinants of Digital Education.
(9) Self-Government Activity on Social Media as an Information Source to Cover Local Issues: Slovak And Ukrainian Journalists’ Views.
(10) Media Literacy and Mobilizing Children: The Image of Child in Automobile Ads.
(11) „Media Invasion“ Against Islam in the Context of the Slovak Republic.
(12) Privacy on the Internet Concerning Generation Z in Bosnia and Herzegovina.
Media Literacy and Academic Research - Vol.4, No.1 (2021)
Content:
(1)Transnational TV Series Adaptations: What Artificial Intelligence Can Tell US About Gender Inequality in France and the UsCritical Media Literacy in the Googleburg Galaxy.
(2) Explanatory Journalism – A New Way How to Communicate in Digital Era.
(3) A Qualitative Study on People’s Experiences of Covid-19 Media Literacy.
(4) Security Risks of Sharing Content Based on Minors by Their Family Members On Social Media In Times Of Technology Interference.
(5) The Slogan Effect: The Power of Brand Discourse in Liking and Purchasing Behaviour.
(6) Asynchronous and Synchronous Distance Learning of English as a Foreign Language.
(7) Media Development in Post-Conflict Societies (Kosovo Case).
(8) On Perspectives of Teacher Training and Understanding of Their Digital Competencies as Determinants of Digital Education.
(9) Self-Government Activity on Social Media as an Information Source to Cover Local Issues: Slovak And Ukrainian Journalists’ Views.
(10) Media Literacy and Mobilizing Children: The Image of Child in Automobile Ads.
(11) „Media Invasion“ Against Islam in the Context of the Slovak Republic.
(12) Privacy on the Internet Concerning Generation Z in Bosnia and Herzegovina.