Researching Newsreels 2018
DOI: 10.1007/978-3-319-91920-1_13
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Researching the Issued Content of American Newsreels

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Cited by 2 publications
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“…Secondly, digitised data are no longer in their original format (Fickers, 2021), and may contain traces left by the production, storage, archiving, digitising, and acquisition processes. For instance, textual descriptions of newsreel content are often added during the digitisation of the material and thus might reflect the perceptions or diligence of the digitisers rather than the activities of the original newsreel authors (Elo, 2020; see also Althaus and Britzman, 2018). As our case study shows in Section III, heavily censored data can also offer relevant results, when interpreted with an understanding that it provides the view of the authorities.…”
Section: Digital Hermeneuticsmentioning
confidence: 88%
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“…Secondly, digitised data are no longer in their original format (Fickers, 2021), and may contain traces left by the production, storage, archiving, digitising, and acquisition processes. For instance, textual descriptions of newsreel content are often added during the digitisation of the material and thus might reflect the perceptions or diligence of the digitisers rather than the activities of the original newsreel authors (Elo, 2020; see also Althaus and Britzman, 2018). As our case study shows in Section III, heavily censored data can also offer relevant results, when interpreted with an understanding that it provides the view of the authorities.…”
Section: Digital Hermeneuticsmentioning
confidence: 88%
“…In addition to addressing dynamics as an important modality of audiovisual content, computational film scholars have also been combining different modalities, such as images and sound (Grósz et al, 2022), spoken texts (Carrive et al, 2021;van Noord et al, 2021), or shown locations (Olesen et al, 2016). Computational studies of newsreels more specifically have addressed the contents of news either on the level of textual descriptions of news story topics Althaus and Britzman, 2018) or at a more granular level combining different modalities by analysing the voice-over text and automatically recognising well-known individuals in the film material (Carrive et al, 2021). An ongoing debate in computational film studies concerns how film creates meaning, what are the most important meaningmaking units, and how they could be best extracted (Chávez Heras, 2024;Burghardt et al, 2020;Burges et al, 2021).…”
Section: Computational Video Analysismentioning
confidence: 99%
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