The handling of political disinformation in the TV series “Yes, Minister” (BBC, 1980-1984) and its impact on YouTube by Antonio M. Bañón Hernández

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Conceptualization and Survey Instrument Development for Over-the-Top Platforms’ Usability by Aycan Pekpazar, Muhammed Cagri Coskun, Cigdem Altin Gumussoy

“…Therefore, this study aimed to conceptualize the usability of OTT platforms and develop an OTT Usability Measurement Scale for the usability evaluation of OTT platforms based on the Apple tvOS Guidelines and the literature. OTT platform usability was conceptualized with nine constructs, including Accessibility and Customization, Account Management, Data Entry and Search, Branding, Privacy, Navigation, Help, Content, and Design, and the concepts were measured with a scale including 48 items. …”
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The X-Files (1993-2002) ou le jeu des niveaux narratifs by Frédéric Gai

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Title not available by Kadek Dinda Dwi Mahadewi, Luh Putu Laksminy, Made Detriasmita Saientisna

“…The result of this study shows: (1) the TV series delivers humor by violating four of the Maxims, and (2) the violation of Maxims is required to help the contribution of the conversation in the TV series leads to be related to the audience.…”
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Strain Measurement on the Glass-Fiber Reinforced Plastic by Using Optical Measurement System by Ivona Kozak, Nenad Gubeljak, Darko Damjanović, Dražan Kozak, Mitja Kastrevc

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KBES: A dataset for realistic Bangla speech emotion recognition with intensity level by Md. Masum Billah, Md. Likhon Sarker, M. A. H. Akhand

“…Source of the speech dialogs are Bangla Telefilm, Drama, TV Series, Web Series. There are five emotional categories: Neutral, Happy, Sad, Angry, and Disgust. …”
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E-cigarette imagery in Netflix scripted television and movies popular among young adults: A content analysis by Jon-Patrick Allem, Shawn P. Van Valkenburgh, Scott I. Donaldson, Allison Dormanesh, Terence C. Kelley, Erica L. Rosenthal

“…We used a sample of 12 films and 113 TV episodes from 12 series. Three coders were trained to analyze a total of 101 h of content for the presence of e-cigarettes, level of use, type of characters holding e-cigarettes, brand visibility, and the presence of vaping-related dialogue. …”
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Decoding of human identity by computer vision and neuronal vision by Yipeng Zhang, Zahra M. Aghajan, Matias Ison, Qiujing Lu, Hanlin Tang, Guldamla Kalender, Tonmoy Monsoor, Jie Zheng, Gabriel Kreiman, Vwani Roychowdhury, Itzhak Fried

“…To evaluate how well neuronal populations encode identity information in natural settings, we recorded neuronal activity from multiple brain regions of nine neurosurgical epilepsy patients implanted with depth electrodes, while the subjects watched an episode of the TV series “24”. …”
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