IMAGE OF RUSSIA AND RUSSIANS IN POLISH HISTORICAL FILMS (ON MATERIALS OF EXPERT INTERVIEWS) by S. I. Belov

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Inter/Multimedial Constructions of Islam in Post-9/11 TV Series: The West Wing and 24 by Brigitte Georgi-Findlay

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Unveiling Complexity: Cinematic Representations of Apartheid History and the Post-Apartheid Dutch- Afrikaner Relationship in <em>Black Butterflies</em> (2011) and <em>An Act of Def... by Anne Marieke van der Wal

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Revisiting Weimar Film Reviewers’ Sentiments: Integrating Lexicon-Based Sentiment Analysis with Large Language Models by Isadora Campregher Paiva, Josephine Diecke

“…Applying it to historical film reviews seemed logical and promising to us. …”
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Festivals de cinéma dans le monde arabe by Jean-Michel Frodon

“…While the two major “historical” film festivals in the Arab World - Cartago and Cairo -, have been declining, other film festivals have emerged in the area since 2000. …”
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Confronting Race Head-on in 12 Years a Slave (Steve McQueen, 2013): Redefining the Contours of the Classic Biopic? by Anne-Marie Paquet-Deyris

“…By reconsidering the classic biopic/historical film, this article examines how the movie relocates America’s problems with race at the very heart of the national debate and offers a “post-post-racial” screen model that directly confronts race history.…”
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Wiews of the nation's memories: A stereotyped vision of the Lithuanian history of the 20th century in Lithuanian documentary films by Rūta Šermukšnytė

“…The analysis has shown that manifestations of stereotyped visions of the Lithuanian history are determined by certain cinematographic tendencies. Historical films and programs that are considered to be an adaptation of the national narrative cinematography have been predominant since the Lithuanian independence in 1991. …”
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Historical Blurry Video-Based Face Recognition by Lujun Zhai, Suxia Cui, Yonghui Wang, Song Wang, Jun Zhou, Greg Wilsbacher

“…To approach this problem, we first propose a trunk–branch concatenated multi-task cascaded convolutional neural network (TB-MTCNN), which efficiently extracts facial features from blurry historical films by combining the trunk with branch networks and employing various sizes of kernels to enrich the multi-scale receptive field. …”
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