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@incollection{ Zeller2021,
 title = {Algorithmic machines: From binary communication designs to human-robot interactions},
 author = {Zeller, Frauke},
 editor = {Taddicken, Monika and Schumann, Christina},
 year = {2021},
 booktitle = {Algorithms and Communication},
 pages = {95-133},
 series = {Digital Communication Research},
 volume = {9},
 address = {Berlin},
 issn = {2198-7610},
 isbn = {978-3-945681-09-1},
 doi = {https://doi.org/10.48541/dcr.v9.4},
 abstract = {This article discusses aspects of future research in communication sciences related to a popular and omnipresent artefact of algorithmic machines, social robots. Social robots are defined in this article as physical entities or machines, which may resemble a human being or animal and are able to replicate certain human or life-like movements and functions. Experts predict that robots, just like AI, will replace a significant number of jobs in the near future, including non-industrial jobs such as robots working in offices or the service industry alongside human ‘co-workers’ (Brookfield Institute, 2016; Ford, 2015; Gunkel, 2018). Likewise, we may find more robots in our private lives, for example, replacing human care workers (Ishiguro, 2018; McGinn et al., 2020). Overall, the field of robotics, and particularly social robots, offers a broad range of research opportunities and exigencies for communication scientists. The aim of this conceptual paper is to provide a framework for the discussion of algorithms, social robots and communication sciences.},
 keywords = {Algorithmus; algorithm; Kommunikationswissenschaft; communication sciences; Roboter; robot; künstliche Intelligenz; artificial intelligence; Industriearbeiter; industrial worker; Pflege; caregiving}}