The Automation of the social: Algorithmic selection in social online Networks

Abstract


During the last decade, social online networks (SON) have gained enormous relevance and they contributed to the diffusion of the Internet in broad social strata. The attraction of social online networks is rooted in “social” functions, such as personal connections and information exchange. But SON are also shaped by several “automated” functions and processes, often based on algorithmic selection.

Content and profiles on SON are subject to monitoring, scoring, recommendation, forecasting and automated transactions. The spectrum of algorithmic-selective applications on social networks encompasses personalized news feeds, trending topics, search- and autocomplete functions, computational advertising, contact recommendations, reputation scorings, identification and filtering of undesired content (e.g., pornography, spam, fake-news). Moreover, social online networks are subject to automated usage activities by chatbots, clickbots and targeted automated placement of information and advertising. Finally, SON supply data and information which serve as input for automated surveillance, recommendations, and third party decisions, e.g., in areas such as social scoring and credit scoring. 

The increasing diffusion of algorithmic selection on social online networks is accompanied by risks like violations of privacy and property rights, manipulation, bias, discrimination, growing heteronomy and a loss of individual self-determination. The project emphasizes applications and implications of the automation in social online networks. It therefore identifies the usage, benefits and the risks of algorithmic selection in SON. On this basis, the project explores the technological and organizational governance measures that are implemented by the providers of social networks to counter risks and problematic developments. Can technically induced problems be solved by technical governance measures such as governance-by-design and artificial intelligence?

Funding


The project is funded by the Vienna Anniversary Fund for the Austrian Academy of Sciences.

Staff


Florian Saurwein (CMC, Project leader)

Jaro Krieger-Lamina (ITA)

Charlotte Spencer-Smith (CMC)

Lectures

Lectures

  • 11/06/2019 , Wien
    Florian Saurwein: 
    Content Moderation im Internet: Potenziale für nationale Ombudsstellen
    CMC-Vortragsreihe "Medienpolitik - neu denken"
  • 05/05/2019 , Graz
    Jaro Krieger-Lamina,  Florian Saurwein,  Charlotte Spencer-Smith: 
    Algorithmic Selection in Social Media: Risks and Industry Governance
    18th Annual STS Conference Graz 2019: "Critical Issues in Science, Technology and Society Studies“
  • 25/04/2019 , Wien
    Florian Saurwein: 
    Regulierung von Internet-Inhalten: Verantwortlichkeit jenseits der Providerhaftung
    Kommunikationswissenschaftliche Tage 2019: "Verantwortung", Universität Wien
  • 07/03/2019 , St. Pölten
    Florian Saurwein: 
    Algorithmen als Herausforderung für Governance: Problemstellungen und Lösungsansätze am Beispiel Content Moderation auf Internet-Plattformen
    Symposium Medienethik der FH St. Pölten
  • 26/04/2018 , Salzburg
    Florian Saurwein: 
    Algorithmen in sozialen Online Netzwerken: Problemverursacher und Lösungsoption
    Expertenworkshop im Rahmen des interdisziplinären Forschungsprojekts 'Assessing Big Data' (ABIDA): "Automatisierte Zensur? Technische Lösungen zur Regulation politischer Online-Kommunikation"

Books and Monographs

Books and Monographs

Articles and Book Chapters

Articles and Book Chapters

Research Papers

Research Papers

Popular Publications

Popular Publications

  • Saurwein, F. (2018). Regulierung von Internet-Plattformen: Gut gemeint oder gut gemacht? [Regulating internet platforms: well intended or well done?]. Derstandard.at. Retrieved from https://derstandard.at/2000088213610/Regulierung-von-Internet-Plattformen-Gut-gemeint-oder-gut-gemacht?_blogGroup=1

Popular Talks

Popular Talks

  • 16/10/2018 , Wien
    Jaro Krieger-Lamina,  Florian Saurwein,  Charlotte Spencer-Smith: 
    Algorithmische Selektion im Internet
    Präsentationsveranstaltung „Wissen für Wien. Forschungsprojekte der ÖAW zur Stadt stellen sich vor“