Sandra Mooshammer // Abilities and Journalistic Quality of the Communicator Automated Journalism and Their Influence on Human Journalists' Perception of the Technology
Table of contents
Fellow
NameSandra Mooshammer
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Research project: Abilities and Journalistic Quality of the Communicator Automated Journalism and Their Influence on Human Journalists' Perception of the Technology
Discipline: Communication Science
Doctoral advisors: Prof. Dr. Lutz Hagen
„The Rise of the Robot Reporter“, the New York Time titles. Artificial Intelligence is entering journalism and, nowadays, is able to produce journalistic texts from complex data autonomously, vary tonality and narrative structure or even generate multimedia content. So-called Automated Journalism changes the ways journalistic content is created and consumed. This implies some questions: What is AI able to do? Which quality criteria are applicable? And how does this change journalism?
These questions are the focus of this dissertation project. Human-Machine Communication serves as a theoretical basis by conceptualizing machines as autonomous communicators – a role which communication science traditionally has reserved for humans only. Grounding on this, the area of tension between classic human and new technical communicators is examined.
Different methods and approaches to research will be used. As a first step, it will be analyzed by literature review and expert interviews which quality criteria can be used to evaluate Automated Journalism and which qualitative levels can be reached. Grounding on this classification, different profiles of machine journalists can be created and presented to human journalists. Firstly, it can be found out in which areas human journalists perceive the highest differences and similarities. Secondly, this provides insights in what ways both communicators concur with or rather complement each other. In sum, this dissertation can not only contribute to the young research area of Human-Machine Communication but also provide insights into the future of journalism in times of Artificial Intelligence.
CV
2019-2020 | Tutor at Institute for Communication Science, TU Dresden |
2018-2020 | M.A. Applied Media Research, TU Dresden |
2015-2018 | Student Assistant in Print Journalism, HS Ansbach |
2014-2018 | B.A. Specialist Journalism, HS Ansbach |
Further publications, presentations, activities, etc.
see Research Portal of TU Dresden
Awards
- Winner of the Best Paper Award at CONVERSATIONS 2021
- 2. winner / Best projects at StuFo Expo 2021 (TU Dresden)