Search (165 results, page 2 of 9)

  • × year_i:[2020 TO 2030}
  1. Sirén-Heikel, S.; Kjellman, M.; Lindén, C.-G.: At the crossroads of logics : automating newswork with artificial intelligence-(Re)defining journalistic logics from the perspective of technologists (2023) 0.04 
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    Abstract
    As artificial intelligence (AI) technologies become more ubiquitous for streamlining and optimizing work, they are entering fields representing organizational logics at odds with the efficiency logic of automation. One such field is journalism, an industry defined by a logic enacted through professional norms, practices, and values. This paper examines the experience of technologists developing and employing natural language generation (NLG) in news organizations, looking at how they situate themselves and their technology in relation to newswork. Drawing on institutional logics, a theoretical framework from organizational theory, we show how technologists shape their logic for building these emerging technologies based on a theory of rationalizing news organizations, a frame of optimizing newswork, and a narrative of news organizations misinterpreting the technology. Our interviews reveal technologists mitigating tensions with journalistic logic and newswork by labeling stories generated by their systems as nonjournalistic content, seeing their technology as a solution for improving journalism, enabling newswork to move away from routine tasks. We also find that as technologists interact with news organizations, they assimilate elements from journalistic logic beneficial for benchmarking their technology for more lucrative industries.
  2. 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
  3. Gelitz, C.: Typisch »deutsch« verschaltet : Hirnanatomie (2023) 0.04 
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    https://www.spektrum.de/news/typisch-deutsch-verschaltet-die-muttersprache-praegt-das-gehirn/2125008?utm_source=pocket-newtab-global-de-DE
  4. Hahn, S.: DarkBERT ist mit Daten aus dem Darknet trainiert : ChatGPTs dunkler Bruder? (2023) 0.04 
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    https://www.heise.de/news/DarkBERT-ist-mit-Daten-aus-dem-Darknet-trainiert-ChatGPTs-dunkler-Bruder-9060809.html?view=print
  5. Dietz, K.: en.wikipedia.org > 6 Mio. Artikel (2020) 0.03 
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    Content
    "Die Englischsprachige Wikipedia verfügt jetzt über mehr als 6 Millionen Artikel. An zweiter Stelle kommt die deutschsprachige Wikipedia mit 2.3 Millionen Artikeln, an dritter Stelle steht die französischsprachige Wikipedia mit 2.1 Millionen Artikeln (via Researchbuzz: Firehose <https://rbfirehose.com/2020/01/24/techcrunch-wikipedia-now-has-more-than-6-million-articles-in-english/> und Techcrunch <https://techcrunch.com/2020/01/23/wikipedia-english-six-million-articles/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&guccounter=1&guce_referrer=aHR0cHM6Ly9yYmZpcmVob3NlLmNvbS8yMDIwLzAxLzI0L3RlY2hjcnVuY2gtd2lraXBlZGlhLW5vdy1oYXMtbW9yZS10aGFuLTYtbWlsbGlvbi1hcnRpY2xlcy1pbi1lbmdsaXNoLw&guce_referrer_sig=AQAAAK0zHfjdDZ_spFZBF_z-zDjtL5iWvuKDumFTzm4HvQzkUfE2pLXQzGS6FGB_y-VISdMEsUSvkNsg2U_NWQ4lwWSvOo3jvXo1I3GtgHpP8exukVxYAnn5mJspqX50VHIWFADHhs5AerkRn3hMRtf_R3F1qmEbo8EROZXp328HMC-o>). 250120 via digithek ch = #fineBlog s.a.: Angesichts der Veröffentlichung des 6-millionsten Artikels vergangene Woche in der englischsprachigen Wikipedia hat die Community-Zeitungsseite "Wikipedia Signpost" ein Moratorium bei der Veröffentlichung von Unternehmensartikeln gefordert. Das sei kein Vorwurf gegen die Wikimedia Foundation, aber die derzeitigen Maßnahmen, um die Enzyklopädie gegen missbräuchliches undeklariertes Paid Editing zu schützen, funktionierten ganz klar nicht. *"Da die ehrenamtlichen Autoren derzeit von Werbung in Gestalt von Wikipedia-Artikeln überwältigt werden, und da die WMF nicht in der Lage zu sein scheint, dem irgendetwas entgegenzusetzen, wäre der einzige gangbare Weg für die Autoren, fürs erste die Neuanlage von Artikeln über Unternehmen zu untersagen"*, schreibt der Benutzer Smallbones in seinem Editorial <https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2020-01-27/From_the_editor> zur heutigen Ausgabe."
  6. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.03 
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    Content
    Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.
  7. Giachanou, A.; Rosso, P.; Crestani, F.: ¬The impact of emotional signals on credibility assessment (2021) 0.03 
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    Abstract
    Fake news is considered one of the main threats of our society. The aim of fake news is usually to confuse readers and trigger intense emotions to them in an attempt to be spread through social networks. Even though recent studies have explored the effectiveness of different linguistic patterns for fake news detection, the role of emotional signals has not yet been explored. In this paper, we focus on extracting emotional signals from claims and evaluating their effectiveness on credibility assessment. First, we explore different methodologies for extracting the emotional signals that can be triggered to the users when they read a claim. Then, we present emoCred, a model that is based on a long-short term memory model that incorporates emotional signals extracted from the text of the claims to differentiate between credible and non-credible ones. In addition, we perform an analysis to understand which emotional signals and which terms are the most useful for the different credibility classes. We conduct extensive experiments and a thorough analysis on real-world datasets. Our results indicate the importance of incorporating emotional signals in the credibility assessment problem.
  8. Aral, S.: ¬The hype machine : how social media disrupts our elections, our economy, and our health - and how we must adapt (2020) 0.03 
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    Abstract
    Social media connected the world--and gave rise to fake news and increasing polarization. Now a leading researcher at MIT draws on 20 years of research to show how these trends threaten our political, economic, and emotional health in this eye-opening exploration of the dark side of technological progress. Today we have the ability, unprecedented in human history, to amplify our interactions with each other through social media. It is paramount, MIT social media expert Sinan Aral says, that we recognize the outsized impact social media has on our culture, our democracy, and our lives in order to steer today's social technology toward good, while avoiding the ways it can pull us apart. Otherwise, we could fall victim to what Aral calls "The Hype Machine." As a senior researcher of the longest-running study of fake news ever conducted, Aral found that lies spread online farther and faster than the truth--a harrowing conclusion that was featured on the cover of Science magazine. Among the questions Aral explores following twenty years of field research: Did Russian interference change the 2016 election? And how is it affecting the vote in 2020? Why does fake news travel faster than the truth online? How do social ratings and automated sharing determine which products succeed and fail? How does social media affect our kids? First, Aral links alarming data and statistics to three accelerating social media shifts: hyper-socialization, personalized mass persuasion, and the tyranny of trends. Next, he grapples with the consequences of the Hype Machine for elections, businesses, dating, and health. Finally, he maps out strategies for navigating the Hype Machine, offering his singular guidance for managing social media to fulfill its promise going forward. Rarely has a book so directly wrestled with the secret forces that drive the news cycle every day"
  9. 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
  10. Was ist GPT-3 und spricht das Modell Deutsch? (2022) 0.03 
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    Abstract
    GPT-3 ist ein Sprachverarbeitungsmodell der amerikanischen Non-Profit-Organisation OpenAI. Es verwendet Deep-Learning um Texte zu erstellen, zusammenzufassen, zu vereinfachen oder zu übersetzen.  GPT-3 macht seit der Veröffentlichung eines Forschungspapiers wiederholt Schlagzeilen. Mehrere Zeitungen und Online-Publikationen testeten die Fähigkeiten und veröffentlichten ganze Artikel - verfasst vom KI-Modell - darunter The Guardian und Hacker News. Es wird von Journalisten rund um den Globus wahlweise als "Sprachtalent", "allgemeine künstliche Intelligenz" oder "eloquent" bezeichnet. Grund genug, die Fähigkeiten des künstlichen Sprachgenies unter die Lupe zu nehmen.
  11. 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
  12. Bischoff, M.: Wie eine KI lernt, sich selbst zu erklären (2023) 0.03 
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    https://www.spektrum.de/news/sprachmodelle-auf-dem-weg-zu-einer-erklaerbaren-ki/2132727#Echobox=1682669561?utm_source=pocket-newtab-global-de-DE
  13. Zheng, H.; Goh, D.H.-L.; Lee, E.W.J.; Lee, C.S.; Theng, Y.-L.: Understanding the effects of message cues on COVID-19 information sharing on Twitter (2022) 0.03 
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    Abstract
    Analyzing and documenting human information behaviors in the context of global public health crises such as the COVID-19 pandemic are critical to informing crisis management. Drawing on the Elaboration Likelihood Model, this study investigates how three types of peripheral cues-content richness, emotional valence, and communication topic-are associated with COVID-19 information sharing on Twitter. We used computational methods, combining Latent Dirichlet Allocation topic modeling with psycholinguistic indicators obtained from the Linguistic Inquiry and Word Count dictionary to measure these concepts and built a research model to assess their effects on information sharing. Results showed that content richness was negatively associated with information sharing. Tweets with negative emotions received more user engagement, whereas tweets with positive emotions were less likely to be disseminated. Further, tweets mentioning advisories tended to receive more retweets than those mentioning support and news updates. More importantly, emotional valence moderated the relationship between communication topics and information sharing-tweets discussing news updates and support conveying positive sentiments led to more information sharing; tweets mentioning the impact of COVID-19 with negative emotions triggered more sharing. Finally, theoretical and practical implications of this study are discussed in the context of global public health communication.
  14. Rubel, A.; Castro, C.; Pham, A.: Algorithms and autonomy : the ethics of automated decision systems (2021) 0.03 
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    Abstract
    Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work... the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core
  15. Juneström, A.: Discourses of fact-checking in Swedish news media (2022) 0.03 
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    Abstract
    Purpose The purpose of this paper is to examine how contemporary fact-checking is discursively constructed in Swedish news media; this serves to gain insight into how this practice is understood in society. Design/methodology/approach A selection of texts on the topic of fact-checking published by two of Sweden's largest morning newspapers is analyzed through the lens of Fairclough's discourse theoretical framework. Findings Three key discourses of fact-checking were identified, each of which included multiple sub-discourses. First, a discourse that has been labeled as "the affirmative discourse," representing fact-checking as something positive, was identified. This discourse embraces ideas about fact-checking as something that, for example, strengthens democracy. Second, a contrasting discourse that has been labeled "the adverse discourse" was identified. This discourse represents fact-checking as something precarious that, for example, poses a risk to democracy. Third, a discourse labeled "the agency discourse" was identified. This discourse conveys ideas on whose responsibility it is to conduct fact-checking. Originality/value A better understanding of the discursive construction of fact-checking provides insights into social practices pertaining to it and the expectations of its role in contemporary society. The results are relevant for journalists and professionals who engage in fact-checking and for others who have a particular interest in fact-checking, e.g. librarians and educators engaged in media and information literacy projects.
  16. Krempl, S.: Missing Link : wie KI das menschliche Handlungsvermögen untergräbt (2020) 0.03 
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    Source
    https://www.heise.de/news/Missing-Link-Wie-KI-das-menschliche-Handlungsvermoegen-untergraebt-4726359.html?view=print
  17. Katzlberger, M.: GPT-3 - die erste allgemeine Künstliche Intelligenz? (2020) 0.03 
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    Content
    Vgl. auch: https://openai.com/blog/openai-api/. Vgl. auch: https://www.heise.de/hintergrund/GPT-3-Schockierend-guter-Sprachgenerator-4867089.html. Vgl. auch: https://www.heise.de/news/heiseshow-Wenn-Maschinen-philosophieren-wo-bleibt-da-der-Mensch-4974474.html?view=print.
  18. Jörs, B.: Über den Grundbegriff der "Information" ist weiter zu reden und über die Existenzberechtigung der Disziplin auch : die Kapitulation der Informationswissenschaft vor dem eigenen Basisbegriff (2020) 0.03 
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    Abstract
    Die Informationswissenschaft, eine Disziplin ohne Theorie, ohne Bezugsrahmen und ohne Klärung ihres Grundbegriffes. Zahlreiche FachvertreterInnen der Informationswissenschaft bereiten erst recht das Feld für Hate Speech und Fake News vor - mit ihrem ungeklärten (Un)begriff der "Information", - mit ihrer Forderung nach "Informationskompetenz", ein Terrain, das eigentlich der Bibliothekswissenschaft zusteht, - mit ihrer Theorielosigkeit, - mit ihrer unkritischen Ablehnung einer ernsthaften Auseinandersetzung sowie - mit ihrem ungeklärten Domänenverständnis.
  19. Jörs, B.: Informationskompetenz oder Information Literacy : Das große Missverständnis und Versäumnis der Bibliotheks- und Informationswissenschaft im Zeitalter der Desinformation. Teil 4: "Informationskompetenz" messbar machen. Ergänzende Anmerkungen zum "16th International Symposium of Information Science" ("ISI 2021", Regensburg 8. März - 10. März 2021) (2021) 0.03 
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    Abstract
    Im abschließenden Teil 4 dieser Reihe zur Kritik des "Informationskompetenz"-Ansatzes der Bibliotheks- und Informationswissenschaft und dessen Eignung für die Aufdeckung und "Bekämpfung" von Desinformationen bzw. Fake News (Open Password - noch einzufügen) werden ausgewählte Forschungsergebnisse vorgestellt. Diese entstammen der Studie "Quelle: Internet? - Digitale Nachrichten- und Informationskompetenzen der deutschen Bevölkerung im Test". Träger der Studie ist die Berliner Stiftung "Neue Verantwortung", ein Forschungs-"Think Tank für die Gesellschaft im technologischen Wandel" (https://www.stiftung-nv.de/de/publikation/quelle-internet-digitale-nachrichten-und-informationskompetenzen-der-deutschen).
  20. Wilke, M.; Pauen, M.; Ayan, S.: »Wir überschätzen die Rolle des Bewusstseins systematisch« : Leib-Seele-Problem (2022) 0.03 
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    Source
    https://www.spektrum.de/news/leib-seele-problem-was-wissen-wir-ueber-das-bewusstsein/1974235?utm_source=pocket-newtab-global-de-DE

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