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CAZ: Die Campus-Zeitung in Dresden17 October 2019 (has links)
No description available.
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CAZ: Die Campus-Zeitung in Dresden17 October 2019 (has links)
No description available.
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CAZ: Die Campus-Zeitung in Dresden17 October 2019 (has links)
No description available.
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CAZ: Die Campus-Zeitung in Dresden17 October 2019 (has links)
No description available.
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CAZ: Die Campus-Zeitung in Dresden17 October 2019 (has links)
No description available.
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CAZ: Die Campus-Zeitung in Dresden17 October 2019 (has links)
No description available.
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Is This Social TV 3.0? On Funk and Social Media Policy in German Public Post-television Content ProductioStollfuß, Sven 04 April 2023 (has links)
This article investigates how social media affects German public television. Due to recent dynamics in the field of social TV, notions of social TV as basically “tweeting while watching TV,” or as an “additional function” of television, need to be revised. As an addition to existing ideas of “Social TV 1.0” and “Social TV 2.0” and other characterizations, I refer here to “Social TV 3.0.” Current social TV features need to be characterized in the light of a “network of content” that combines the “media logic of television” and the “logic of social media” by means of their dynamic, flexible, and horizontal integration into the “matrix-media strategy” of TV executives impelled by a social media policy. By taking the content network funk (“a consortium of public broadcasters” [ARD] and “Second German Television” [ZDF]) as a prime example of social TV 3.0 in Germany, I analyze the merging of television and social media.
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CAZ: Die Campus-Zeitung in Dresden30 September 2019 (has links)
Erscheinen eingestellt mit 2020, Nr. 2041
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Whose Pictures, Whose Reality? Lines of Tradition in the Development of Topics, Negativity, and Power in the Photojournalistic CompetitionWorld Press PhotoGodulla, Alexander, Seibert, Daniel, Planer, Rosanna 17 January 2024 (has links)
Initially founded in 1955 as a platform for Dutch photojournalists to increase international
exposure, the World Press Photo competition has grown into the most prestigious contest of photojournalism
worldwide, making it an important arena for journalism research. Using qualitative and
quantitative content analyses, this study examines all photos shown in the competitions from 1960 to
2020 (N = 11,789) considering the origin of jury members (N = 686), participants (N = 132,800), placements
(N = 2347) and the Human Development Index (HDI) of the countries. The topics displayed
on the photos, their degree of negativity, and potential power structures in the photos are analysed
over time both in terms of continental and HDI-related differences. Significant results show that
Africa, Asia, and South America are more frequently depicted by the topic conflict and characterised
by negative images than continents with industrialised nations (Australia/Oceania, Europe, North
America). Participating European countries have a significantly higher average number of jury members,
participants, and placements than participating countries from Africa, Asia, and South America,
which seems to account for a dominant Eurocentric view. Implications and critical discussions are
summarized in three interim conclusions at the end of this extended paper.
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Crosscurrents: WelfareKaun, Anne, Lomborg, Stine, Pentzold, Christian, Allhutter, Doris, Sztandar-Sztanderska, Karolina 17 April 2025 (has links)
In this crosscurrent contribution, we approach the notion of welfare through the lens
of the data welfare state. We, further, suggest that datafied welfare can be fruitfully
studied with the capabilities approach to better understand how ideas and values of
data welfare intersect with and may allow for the ‘good’ life and human flourishing. The
main aim is to highlight the deep-seated changes of the welfare state that emerge with
the delegation of care and control tasks to algorithmic systems and the automation
based on datafication practices. Welfare provision is undergoing major shifts that imply
fundamentally rethinking the role of technology that supports and enhances welfare
with the help of data.
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