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  1. Wolchover, N.: Wie ein Aufsehen erregender Beweis kaum Beachtung fand (2017) 0.13
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    Date
    22. 4.2017 10:42:05
    22. 4.2017 10:48:38
    Source
    http://www.spektrum.de/news/mathematischer-beweis-ueber-mehrdimensionale-normalverteilungen-gefunden/1450623
  2. Bünte, O.: Bundesdatenschutzbeauftragte bezweifelt Facebooks Datenschutzversprechen (2018) 0.06
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    Date
    23. 3.2018 13:41:22
    Footnote
    Vgl. zum Hintergrund auch: https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-election; https://www.nytimes.com/2018/03/18/us/cambridge-analytica-facebook-privacy-data.html; http://www.latimes.com/business/la-fi-tn-facebook-cambridge-analytica-sued-20180321-story.html; https://www.tagesschau.de/wirtschaft/facebook-cambridge-analytica-103.html; http://www.spiegel.de/netzwelt/web/cambridge-analytica-der-eigentliche-skandal-liegt-im-system-facebook-kolumne-a-1199122.html; http://www.spiegel.de/netzwelt/netzpolitik/cambridge-analytica-facebook-sieht-sich-im-datenskandal-als-opfer-a-1199095.html; https://www.heise.de/newsticker/meldung/Datenskandal-um-Cambridge-Analytica-Facebook-sieht-sich-als-Opfer-3999922.html.
  3. Taglinger, H.: Ausgevogelt, jetzt wird es ernst (2018) 0.06
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    Date
    22. 1.2018 11:38:55
    Source
    https://www.heise.de/tp/news/Ausgevogelt-jetzt-wird-es-ernst-3934458.html?view=print
  4. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.05
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  5. Biselli, A.: Unter Generalverdacht durch Algorithmen (2014) 0.05
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    Source
    http://www.golem.de/news/textanalyse-unter-generalverdacht-durch-algorithmen-1402-104637.html
  6. Bradford, R.B.: Relationship discovery in large text collections using Latent Semantic Indexing (2006) 0.04
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    Abstract
    This paper addresses the problem of information discovery in large collections of text. For users, one of the key problems in working with such collections is determining where to focus their attention. In selecting documents for examination, users must be able to formulate reasonably precise queries. Queries that are too broad will greatly reduce the efficiency of information discovery efforts by overwhelming the users with peripheral information. In order to formulate efficient queries, a mechanism is needed to automatically alert users regarding potentially interesting information contained within the collection. This paper presents the results of an experiment designed to test one approach to generation of such alerts. The technique of latent semantic indexing (LSI) is used to identify relationships among entities of interest. Entity extraction software is used to pre-process the text of the collection so that the LSI space contains representation vectors for named entities in addition to those for individual terms. In the LSI space, the cosine of the angle between the representation vectors for two entities captures important information regarding the degree of association of those two entities. For appropriate choices of entities, determining the entity pairs with the highest mutual cosine values yields valuable information regarding the contents of the text collection. The test database used for the experiment consists of 150,000 news articles. The proposed approach for alert generation is tested using a counterterrorism analysis example. The approach is shown to have significant potential for aiding users in rapidly focusing on information of potential importance in large text collections. The approach also has value in identifying possible use of aliases.
    Source
    Proceedings of the Fourth Workshop on Link Analysis, Counterterrorism, and Security, SIAM Data Mining Conference, Bethesda, MD, 20-22 April, 2006. [http://www.siam.org/meetings/sdm06/workproceed/Link%20Analysis/15.pdf]
  7. Macedonia, M.: Mit Händen und Füßen (2012) 0.04
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    Source
    http://www.spektrum.de/news/mit-haenden-und-fuessen/1173260
  8. Bredemeier, W.: Was sagt uns die Debatte zu "Fake News" über die Qualität unserer etablierten Medien? : Medienkritik in der Zeit alternativer Fakten (2017) 0.04
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  9. Wolfangel, E.: DeepMind will Problem der Proteinfaltung gelöst haben (2020) 0.04
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    Source
    https://www.spektrum.de/news/deepmind-will-problem-der-proteinfaltung-geloest-haben/1802324?utm_source=pocket-newtab-global-de-DE
  10. Taglinger, H.: Falsch gedacht (2020) 0.04
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    Source
    https://www.heise.de/tp/news/Falsch-gedacht-4712157.html?wt_mc=nl.tp-aktuell.woechentlich
  11. Suchsland, R.: Kritik der paranoiden Vernunft (2020) 0.04
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    Footnote
    Zu Verschwörungstheorien und Fake News. Mit einer Zusammenstellung von Beispielen aus der Geschichte.
  12. Swinnen, W.; Mars, R.: Sprache entstand aus unserer Freundlichkeit (2022) 0.04
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    Source
    https://www.spektrum.de/news/sprache-entstand-aus-unserer-freundlichkeit/2077710?utm_source=pocket-newtab-global-de-DE
  13. Janssen, J.-K.: ChatGPT-Klon läuft lokal auf jedem Rechner : Alpaca/LLaMA ausprobiert (2023) 0.04
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    Source
    https://www.heise.de/news/c-t-3003-ChatGPT-Klon-laeuft-lokal-auf-jedem-Rechner-Alpaca-LLaMA-ausprobiert-8004159.html?view=print
  14. Gelitz, C.: Typisch »deutsch« verschaltet : Hirnanatomie (2023) 0.04
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    Source
    https://www.spektrum.de/news/typisch-deutsch-verschaltet-die-muttersprache-praegt-das-gehirn/2125008?utm_source=pocket-newtab-global-de-DE
  15. Hahn, S.: DarkBERT ist mit Daten aus dem Darknet trainiert : ChatGPTs dunkler Bruder? (2023) 0.04
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    Source
    https://www.heise.de/news/DarkBERT-ist-mit-Daten-aus-dem-Darknet-trainiert-ChatGPTs-dunkler-Bruder-9060809.html?view=print
  16. Graphic details : a scientific study of the importance of diagrams to science (2016) 0.03
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    Content
    As the team describe in a paper posted (http://arxiv.org/abs/1605.04951) on arXiv, they found that figures did indeed matter-but not all in the same way. An average paper in PubMed Central has about one diagram for every three pages and gets 1.67 citations. Papers with more diagrams per page and, to a lesser extent, plots per page tended to be more influential (on average, a paper accrued two more citations for every extra diagram per page, and one more for every extra plot per page). By contrast, including photographs and equations seemed to decrease the chances of a paper being cited by others. That agrees with a study from 2012, whose authors counted (by hand) the number of mathematical expressions in over 600 biology papers and found that each additional equation per page reduced the number of citations a paper received by 22%. This does not mean that researchers should rush to include more diagrams in their next paper. Dr Howe has not shown what is behind the effect, which may merely be one of correlation, rather than causation. It could, for example, be that papers with lots of diagrams tend to be those that illustrate new concepts, and thus start a whole new field of inquiry. Such papers will certainly be cited a lot. On the other hand, the presence of equations really might reduce citations. Biologists (as are most of those who write and read the papers in PubMed Central) are notoriously mathsaverse. If that is the case, looking in a physics archive would probably produce a different result.
    Footnote
    Vgl.: http://www.economist.com/news/science-and-technology/21700620-surprisingly-simple-test-check-research-papers-errors-come-again.
  17. Fact-Checking: Die unkritische Gruppe : Soziale Gesellschaft macht anfälliger für Fake News (2017) 0.03
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    Abstract
    Von wegen viele Augen sehen mehr als zwei: Wer sich in Gesellschaft anderer Menschen befindet, ist offenbar weniger kritisch als alleine. Das legt nun eine Reihe von Experimenten nahe. Demnach hinterfragten Probanden Informationen und Aussagen aus Nachrichtentexten seltener, wenn sie sich als Teil einer Gruppe wähnten. Dies traf sogar auf rein virtuelle Gesellschaft in sozialen Medien zu. Das beobachtete Phänomen könnte deshalb helfen zu erklären, warum sich Fake News in sozialen Netzwerken so schnell und scheinbar ungefiltert verbreiten. "Wir wissen kaum etwas darüber, wie neue Informationen in diesen Kontexten wahrgenommen werden und vor allem, ob und wie sie überprüft werden", konstatieren Youjung Jun und ihre Kollegen von der Columbia University in New York. Gehen Menschen mit Nachrichten und Gerüchten in der Umgebung von sozialen Netzwerken zum Beispiel anders um als in anderen Situationen? Genau diese Frage haben die Forscher nun untersucht - und Erstaunliches festgestellt.
  18. Zech, M.: Wie Gelehrte eine Epoche erfanden : Achsenzeit (2023) 0.03
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    Source
    https://www.spektrum.de/news/achsenzeit-die-erfundene-epoche/2058249?utm_source=pocket-newtab-global-de-DE
  19. Bischoff, M.: Hobby-Mathematiker findet die lang ersehnte Einstein-Kachel : Mathematisches Mosaik (2023) 0.03
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    https://www.spektrum.de/news/hobby-mathematiker-findet-lang-ersehnte-einstein-kachel/2124963#Echobox=1680175016?utm_source=pocket-newtab-global-de-DE
  20. Bischoff, M.: Wie eine KI lernt, sich selbst zu erklären (2023) 0.03
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    Source
    https://www.spektrum.de/news/sprachmodelle-auf-dem-weg-zu-einer-erklaerbaren-ki/2132727#Echobox=1682669561?utm_source=pocket-newtab-global-de-DE

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