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How Algorithmic Systems Changed Communication in a Digital Society

Author

Listed:
  • Sanne Kruikemeier

    (Amsterdam School of Communication Research, University of Amsterdam, The Netherlands)

  • Sophie C. Boerman

    (Amsterdam School of Communication Research, University of Amsterdam, The Netherlands)

  • Nadine Bol

    (Department of Communication and Cognition, Tilburg Center for Cognition and Communication, Tilburg University, The Netherlands)

Abstract

This thematic issue invited submissions that address the opportunities and controversies related to algorithmic influence in a digital society. A total of 11 articles address how the use of algorithms has changed communication in various contexts, and cover topics such as personalized marketing communication, self-tracking for health, political microtargeting, news recommenders, social media algorithms, and urban experiences. The articles also include a wide variety of methods such as surveys, experiments, expert interviews, computational methods, and theoretical work developing frameworks and typologies. They are all united by one central question: How have algorithms and artificial intelligence changed communication, for both senders and receivers? We believe that the collection of topics and methods provide new insights into the different perspectives regarding algorithmic-driven communication—highlighting both the opportunities and challenges—and advance the literature with new findings, frameworks, and typologies.

Suggested Citation

  • Sanne Kruikemeier & Sophie C. Boerman & Nadine Bol, 2021. "How Algorithmic Systems Changed Communication in a Digital Society," Media and Communication, Cogitatio Press, vol. 9(4), pages 116-119.
    • Handle: RePEc:cog:meanco:v:9:y:2021:i:4:p:116-119
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    References listed on IDEAS

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    1. Brahim Zarouali & Natali Helberger & Claes H. de Vreese, 2021. "Investigating Algorithmic Misconceptions in a Media Context: Source of a New Digital Divide?," Media and Communication, Cogitatio Press, vol. 9(4), pages 134-144.
    2. Chenyan Jia & Ruibo Liu, 2021. "Algorithmic or Human Source? Examining Relative Hostile Media Effect With a Transformer-Based Framework," Media and Communication, Cogitatio Press, vol. 9(4), pages 170-181.
    3. Florian Saurwein & Charlotte Spencer-Smith, 2021. "Automated Trouble: The Role of Algorithmic Selection in Harms on Social Media Platforms," Media and Communication, Cogitatio Press, vol. 9(4), pages 222-233.
    4. Annelien Smets & Pieter Ballon & Nils Walravens, 2021. "Mediated by Code: Unpacking Algorithmic Curation of Urban Experiences," Media and Communication, Cogitatio Press, vol. 9(4), pages 250-259.
    5. Mareike Wieland & Gerret von Nordheim & Katharina Kleinen-von Königslöw, 2021. "One Recommender Fits All? An Exploration of User Satisfaction With Text-Based News Recommender Systems," Media and Communication, Cogitatio Press, vol. 9(4), pages 208-221.
    6. Johanna Schäwel & Regine Frener & Sabine Trepte, 2021. "Political Microtargeting and Online Privacy: A Theoretical Approach to Understanding Users’ Privacy Behaviors," Media and Communication, Cogitatio Press, vol. 9(4), pages 158-169.
    7. Claire M. Segijn & Joanna Strycharz & Amy Riegelman & Cody Hennesy, 2021. "A Literature Review of Personalization Transparency and Control: Introducing the Transparency–Awareness–Control Framework," Media and Communication, Cogitatio Press, vol. 9(4), pages 120-133.
    8. Mariken van der Velden & Felicia Loecherbach, 2021. "Epistemic Overconfidence in Algorithmic News Selection," Media and Communication, Cogitatio Press, vol. 9(4), pages 182-197.
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