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Der Beitrag nimmt Facebooks Targeting-Praktiken im Kontext der Erstürmung des US-amerikanischen Kapitols 2021 zum Anlass einer soziologischen Targeting-Analyse. Er argumentiert zunächst dafür, den Analysemodus umzustellen vom in der Sozialphilosophie üblichen Fokus auf Entscheidungen auf die Kategorie der Erfahrung. Daraufhin erfolgt eine pragmatistische Konzeption des Erfahrungsbegriffs, an die sich eine Klärung der Kriterien zur Bestimmung der gesellschaftlichen „Eingriffstiefe" des Targeting anschließt. Hierzu wird die erweiterte Heuristik Luhmannscher Sinndimensionen (sachlich, sozial, zeitlich, räumlich) fruchtbar gemacht. Die Analyse des Targeting in allen Sinndimensionen kulminiert in der These, dass zeitgenössisches Deep Targeting durch Orientierung am Aktualen und durch Steigerung der Eingriffstiefe in die Erfahrungsspielräume des Sozialen zu einer Kontingenz-einschränkenden Verengung von Erfahrung führt. Aus dieser These werden abschließend normative Konsequenzen gezogen. Setting out from an account of the role Facebook's targeting mechanisms played in the US Capitol attack 2021, the paper provides a sociological analysis of targeting. To this end, the first step is to shift the analytical point of departure from social philosophy's emphasis on the notion of decision to a sociological focus on experience. As the latter notion plays a central role in pragmatism, I will draw next on pragmatist thought, before moving on to define criteria allowing for the "gauging" of the depth of targeting in the constitution of digital society. To do so, I will turn to Luhmannian systems theory's differentiation of sensual dimensions (factual, social, temporal, spatial dimension). Analyzing targeting in all these dimensions, I will bring forward the thesis that contemporary deep targeting reduces the contingency of social experience and of society's evolution. To conclude, the paper discusses this diagnosis and the normative consequences it suggests. [ABSTRACT FROM AUTHOR]

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The paper discusses normative issues that arise when scholars provide policy advice. Economics has a tradition, which goes back to the origins of the discipline in the enlightenment, of warning against value judgements in theory and making value judgements in practice. Policy recommendations in pursuit of "efficiency" do not provide a convincing justification for the practice; the distributional consequences matter even if they are kept under the rug. The more recent practice of using "efficiency" as a basis for descriptive analysis introduces a source of serious bias. The lack of a professional routine for choosing which tools are appropriate for studying a given sludge of facts makes for an additional reason to exercise caution. Whereas academic freedom precludes the imposition of such normative appeals from the outside, critical open discussion should provide a needed disciplining mechanism. [ABSTRACT FROM AUTHOR]

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This paper examines the problem of hallucinations in four scientific articles generated by ChatGPT-4 from various sub-fields of business administration. Specifically, the aim is to check whether the references generated by ChatGPT exist and, if this is the case, whether they are correct. A first surprising result is that nearly 40 Prozent of the 174 sources referenced in the articles, whose bibliographic details were listed after the individual main chapters, were not included in the specially for each article generated bibliography. A check of the bibliographic entries revealed that between 18 % and 100 % of the sources in the individual articles could not be found with Google Scholar. Furthermore, half of the sources found were incorrect to varying degrees (wrong document type, wrong journal name, wrong page reference). On average, only a quarter of the bibliographic references were completely correct. In Web of Science, only a quarter of the sources could be verified, but most of them were correct. The above results show that ChatGPT-4 – besides ethical and legal concerns – should definitely not be used for writing scientific papers, as a large proportion of the references generated by ChatGPT (valid at the time of writing this paper) does not exist or is partially incorrect. Furthermore, it can be assumed that some of the article texts generated are also "invented" or come from unreferenced sources (plagiarism). Texts generated by ChatGPT must therefore be subject to a comprehensive review, which may not always be easy. The authors therefore agree with the recommendation of Gimpel et al. (2023) that ChatGPT should primarily be used as a supplement to writing (e. g., spell-checking, creating summaries, supporting the generation of ideas). [ABSTRACT FROM AUTHOR]

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The article contains a list of contact persons of the DMV (German Mathematical Society) at various German universities and colleges. It also mentions some dissertation topics and their supervisors. Furthermore, scientific papers and research projects by mathematicians at various universities are listed. Information about the DMV, its board and presidency, as well as contact details and membership fees, are also provided. However, no further information is given about the content of the papers or research projects. [Extracted from the article]

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This paper examines the ›Eneasroman‹ of Heinrich von Veldeke within the context of its co-transmission. The different composite manuscripts, combining the ›Eneasroman‹ with various co-texts, raise the question of what conclusions can be drawn from them about the understanding and reception of the novel. It becomes obvious that the surviving compilations, all of them from the late Middle Ages, do not aim at highlighting the elaborate semantics of love. Instead, various historiographical and epistemological connections between the ›Eneasroman‹ and its accompanying texts are established, which emphasize the historical dimensions of the novel and the salvational significance of Eneas as the progenitor of the Romans. [ABSTRACT FROM AUTHOR]

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Copyright of Technisches Messen is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Kant-Studien is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)