Search (4 results, page 1 of 1)

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Content

"1. Use a range of different media 2. Access paywalled media content 3. Use an advertising and tracking blocker 4. Use alternatives to Google Search 5. Use alternatives to YouTube 6. Use alternatives to Facebook and Twitter 7. Caution with Wikipedia 8. Web browser, email, and internet access 9. Access books and scientific papers 10. Access deleted web content"

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Abstract

From documenting human rights abuses to studying online advertising, web archives are increasingly positioned as critical resources for a broad range of scholarly Internet research agendas. In this article, we reflect on the motivations and methodological challenges of investigating the world's largest web archive, the Internet Archive's Wayback Machine (IAWM). Using a mixed methods approach, we report on a pilot project centred around documenting the inner workings of 'Save Page Now' (SPN) - an Internet Archive tool that allows users to initiate the creation and storage of 'snapshots' of web resources. By improving our understanding of SPN and its role in shaping the IAWM, this work examines how the public tool is being used to 'save the Web' and highlights the challenges of operationalising a study of the dynamic sociotechnical processes supporting this knowledge infrastructure. Inspired by existing Science and Technology Studies (STS) approaches, the paper charts our development of methodological interventions to support an interdisciplinary investigation of SPN, including: ethnographic methods, 'experimental blackbox tactics', data tracing, modelling and documentary research. We discuss the opportunities and limitations of our methodology when interfacing with issues associated with temporality, scale and visibility, as well as critically engage with our own positionality in the research process (in terms of expertise and access). We conclude with reflections on the implications of digital STS approaches for 'knowing infrastructure', where the use of these infrastructures is unavoidably intertwined with our ability to study the situated and material arrangements of their creation.

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Abstract

In den letzten Jahren ist das Angebot an Academic Search Engines für die Recherche nach Fachliteratur zu allen Wissenschaftsgebieten stark angewachsen und ergänzt die beliebten kommerziellen Angebote wie Web of Science oder Scopus. Der Artikel zeigt die wesentlichen Unterschiede zwischen bibliothekarischen Discovery-Systemen und Academic Search Engines wie Base, Dimensions oder Open Alex auf und diskutiert Möglichkeiten, wie beide von einander profitieren können. Diese Entwicklungsperspektiven betreffen Aspekte wie die Kontextualisierung von Wissen, die Datenmodellierung, die automatischen Datenanreicherung sowie den Zuschnitt von Suchräumen.

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Content

YaCy: Suchmaschine nach dem Peer-to-Peer-Prinzip. YaCy ist eine dezentrale, freie Suchmaschine. Die Besonderheit: die freie Suchmaschine läuft nicht auf zentralen Servern eines einzelnen Betreibers, sondern funktioniert nach dem Peer-to-Peer (P2P) Prinzip. Dieses basiert darauf, dass die YaCy-Nutzer aufgerufene Webseiten auf ihrem Computer lokal indexieren. Jeder Nutzer "ercrawlt" sich damit einen kleinen Index, den er durch Kommunikation mit anderen YaCy-Peers teilen kann. Das Programm sorgt dafür, dass durch die kleinen dezentralen Crawler einzelner Nutzer schließlich ein globaler Gesamtindex entsteht. Je mehr Nutzer Teil dieser dezentralen Suche sind, desto größer wird der gemeinsame Index, auf den der einzelne Nutzer dann Zugriff haben kann. Seit kurzem befindet sich YaCy im Verbund unserer abgefragten Suchmaschinen. Wir sind somit auch Teil des Indexes der Suchmaschine.