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AbstractHuman-Machine Communication and fields like journalism studies have been discussing new technological developments in journalism, especially automation technologies like automated writing software. However, existing literature has terminological problems: Terms are not distinctly defined and delimited, different aspects can be referred to with the same term, while different, often misleading, terms exist for the same aspect. As a result, it is often unclear which concept is being referred to. To gain a better understanding and modeling of automation in journalism as well as a theoretical foundation, this paper first describes current problems with terms used in scientific literature and argues that existing automation taxonomies are not fully transferrable to journalism, making a new theoretical basis necessary. Subsequently, Rammert and Schulz-Schaeffer's concept of distributed and gradualised action is described and proposed as such a theoretical basis for the unification of terminology and conceptual foundations, providing the opportunity to empirically and normatively describe automation as well as delivering necessary theoretical underpinnings. Lastly, the concept is applied to automation in journalism, resulting in a proposed automation concept, suggestions for terminology, and further implications for Human-Machine Communication theory.

Recently emerging synthetic acoustically gender-ambiguous voices could contribute to dissolving the still prevailing genderism. Yet, are we indeed perceiving these voices as "unassignable"? Or are we trying to assimilate them into existing genders? To investigate the perceived ambiguity, we conducted an explorative 3 (male, female, ambiguous voice) × 3 (male, female, ambiguous topic) experiment. We found that, although participants perceived the gender-ambiguous voice as ambiguous, they used a profoundly wide range of the scale, indicating tendencies toward a gender. We uncovered a mild dissolve of gender roles. Neither the listener's gender nor the personal gender stereotypes impacted the perception. However, the perceived topic gender indicated the perceived voice gender, and younger people tended to perceive a more male-like gender.

This paper delves into what the application of authenticity to Human-Machine Communication (HMC) can teach us about authenticity and us as HMC researchers and as a com- munity. Inspired by the 2023 pre-conference "HMC: Authenticity in communicating with machines," two central questions guide the discussion: How does HMC contribute to our understanding of authentic communication with machines? And how can the concept of authenticity contribute to our sense of self as researchers within the HMC field? Through the collaborative effort of 22 authors, the paper explores the re-conceptualization of authenticity and presents recent areas of tension that guide the HMC research and community. With this paper we aim at offering a gateway for scholars to connect and engage with the evolving HMC field.