---
_id: '13165'
abstract:
- lang: eng
  text: "It will be examined, on the basis of three guiding questions (LF1–LF3), whether
    and to what extent storytelling components (storytelling principles, elements,
    techniques) are related to the quality and success levels of selected true crime-podcast
    formats. The three selected formats are each represented by two individual episodes.
    Parallels and differences in the composition of narrative devices across the three
    true crime-podcast formats will be identified. The individual episodes are analyzed
    in tabular form, using the pre-structured analytical scheme that lists the storytelling
    components in three subcategories. The theoretical discussion is conducted by
    means of a literature review of the current state of research and its influence
    on answering the guiding questions. Before outlining the analytical framework,
    the study introduces podcasts as an audio format, the true-crime podcast genre,
    and storytelling and its significance for true-crime podcasts. The aim of this
    bachelor’s thesis is to determine the extent to which storytelling components
    in different true crime-podcast formats correlate with the format’s success, operationalized
    via quality criteria, so that the findings can be used to evaluate existing formats
    and/or be incorporated into further studies. It is expected that the success and
    quality of different true crime narrative formats in podcast form are closely
    tied to a coherent blend of storytelling principles, elements, and techniques,
    and that this relationship can be captured through the intended analysis. The
    results obtained may then serve as a starting point for further research questions
    and studies. \r\nKeywords: Audio podcast format, True Crime Genre, Storytelling
    components"
- lang: ger
  text: 'Es soll anhand dreier Leitfragen (LF1-LF3) untersucht werden, ob und inwieweit
    Storytellingkomponenten (Storytellinggrundsätze, -elemente, -techniken) in Zusammenhang
    mit dem Qualitäts- und Erfolgsniveau ausgewählter True Crime-Podcastformate stehen.
    Die drei ausgewählten Podcastformate werden jeweils durch zwei ausgewählte Einzelepisoden
    repräsentiert. Es werden Parallelen und Unterschiede in der Zusammensetzung narrativer
    Mittel dreier True Crime-Podcastformate aufgezeigt. In tabellarischer Form erfolgt
    die Analyse der Einzelepisoden, anhand der Vorstrukturierung, der im Analyseschema
    aufgeführten Storytellingkomponenten in drei Unterkategorien. Die theoretische
    Auseinandersetzung erfolgt mittels Literaturrecherche zum aktuellen Forschungsstand
    und dessen Einfluss auf die Beantwortung der Leitfragen. Im Vorfeld des analytischen
    Rahmens erfolgt eine Themenannäherung zu Podcasts als Audioformat, dem Podcastgenre
    True Crime sowie Storytelling und dessen Bedeutungsgehalt für True Crime-Podcasts.
    Ziel dieser Bachelorarbeit ist es herauszustellen, inwiefern Storytellingkomponenten
    in unterschiedlichen True Crime-Podcastformaten mit dem Erfolg des Formats als
    Gütekriterien korrelieren, um die ermittelten Ergebnisse zum Zweck der Evaluation
    vorhandener Formate einzusetzen und/oder diese in weiterführende Studien einfließen
    zu lassen. Dabei resultiert das Ergebnis, dass der Erfolg und die Qualität unterschiedlicher
    True Crime-Erzählformate in Podcastform eng mit der stimmigen Mischung aus Storytelling-Grundsätzen,
    -Elementen und -Techniken zusammenhängt, und diese Abhängigkeit mittels der angestrebten
    Analyse abgebildet werden kann. Ermittelte Ergebnisse, können dann Ausgangspunkt
    für weitere Forschungsfragen und Studien sein. '
author:
- first_name: Lale
  full_name: Bussmann, Lale
  id: '80118'
  last_name: Bussmann
citation:
  ama: Bussmann L. <i>Storytelling in True Crime-Podcasts</i>. Technische Hochschule
    Ostwestfalen Lippe; 2025.
  apa: Bussmann, L. (2025). <i>Storytelling in True Crime-Podcasts</i>. Technische
    Hochschule Ostwestfalen Lippe.
  bjps: '<b>Bussmann L</b> (2025) <i>Storytelling in True Crime-Podcasts</i>. Detmold:
    Technische Hochschule Ostwestfalen Lippe.'
  chicago: 'Bussmann, Lale. <i>Storytelling in True Crime-Podcasts</i>. Detmold: Technische
    Hochschule Ostwestfalen Lippe, 2025.'
  chicago-de: 'Bussmann, Lale. 2025. <i>Storytelling in True Crime-Podcasts</i>. Detmold:
    Technische Hochschule Ostwestfalen Lippe.'
  din1505-2-1: '<span style="font-variant:small-caps;">Bussmann, Lale</span>: <i>Storytelling
    in True Crime-Podcasts</i>. Detmold : Technische Hochschule Ostwestfalen Lippe,
    2025'
  havard: L. Bussmann, Storytelling in True Crime-Podcasts, Technische Hochschule
    Ostwestfalen Lippe, Detmold, 2025.
  ieee: 'L. Bussmann, <i>Storytelling in True Crime-Podcasts</i>. Detmold: Technische
    Hochschule Ostwestfalen Lippe, 2025.'
  mla: Bussmann, Lale. <i>Storytelling in True Crime-Podcasts</i>. Technische Hochschule
    Ostwestfalen Lippe, 2025.
  short: L. Bussmann, Storytelling in True Crime-Podcasts, Technische Hochschule Ostwestfalen
    Lippe, Detmold, 2025.
  ufg: '<b>Bussmann, Lale</b>: Storytelling in True Crime-Podcasts, Detmold 2025.'
  van: 'Bussmann L. Storytelling in True Crime-Podcasts. Detmold: Technische Hochschule
    Ostwestfalen Lippe; 2025. 176 p.'
date_created: 2025-09-10T18:36:56Z
date_updated: 2025-09-16T11:27:05Z
ddc:
- '070'
department:
- _id: DEP2001
file:
- access_level: request
  content_type: application/pdf
  creator: g5z-2q6
  date_created: 2025-09-10T18:24:26Z
  date_updated: 2025-09-10T18:24:26Z
  description: |-
    Eine qualitative Annäherung mittels eines Analyseschemas zu
    Storytellingkomponenten in True Crime-Podcasts.
  file_id: '13166'
  file_name: Bachelorarbeit_LaleBussmann_Storytelling in True Crime-Podcasts.pdf
  file_size: 2309056
  relation: main_file
  title: Storytelling in True Crime-Podcasts
file_date_updated: 2025-09-10T18:24:26Z
has_accepted_license: '1'
keyword:
- Audio-Podcastformat
- True Crime-Genre
- Storytellingkomponenten
- Storytelling
language:
- iso: ger
page: '176'
place: Detmold
publication_status: published
publisher: Technische Hochschule Ostwestfalen Lippe
status: public
supervisor:
- first_name: Frank
  full_name: Lechtenberg, Frank
  id: '10784'
  last_name: Lechtenberg
- first_name: Georgij
  full_name: Pestov, Georgij
  id: '85771'
  last_name: Pestov
title: Storytelling in True Crime-Podcasts
type: bachelor_thesis
user_id: '83781'
year: '2025'
...
---
_id: '12048'
abstract:
- lang: eng
  text: Interactive stories can be an effective approach for teaching purposes. One
    shortcoming is the effort necessary to author and create these stories, especially
    complex storylines with choices for the readers. Based on recent advances in Natural
    Language Processing (NLP), new opportunities arise for assistance systems in the
    context of interactive stories. In our work, we present an authoring approach
    and prototypical tool for the creation of visual comic-strip like interactive
    stories, a type of hypercomics, that integrate an Artificial Intelligence (AI)
    assistance. Such comics are already used in our Gekonnt hanDeln web platform.
    The AI assistance provides suggestions for the overall story outline as well as
    how to design and write individual story frames. We provide a detailed description
    about the approach and its prototypical implementation. Furthermore, we present
    a study evaluating the prototype with student groups and how the prototype evolved
    in an iterative style based on the students’ feedback.
author:
- first_name: Valentin
  full_name: Grimm, Valentin
  id: '74000'
  last_name: Grimm
- first_name: Jessica
  full_name: Rubart, Jessica
  id: '45672'
  last_name: Rubart
citation:
  ama: Grimm V, Rubart J. <i>Authoring Educational Hypercomics Assisted by Large Language
    Models</i>. Association for Computing Machinery (ACM); 2024:88-97. doi:<a href="https://doi.org/10.1145/3648188.3675124">10.1145/3648188.3675124</a>
  apa: 'Grimm, V., &#38; Rubart, J. (2024). Authoring Educational Hypercomics assisted
    by Large Language Models. In <i>HT ’24: Proceedings of the 35th ACM Conference
    on Hypertext and Social Media</i> (pp. 88–97). Association for Computing Machinery
    (ACM). <a href="https://doi.org/10.1145/3648188.3675124">https://doi.org/10.1145/3648188.3675124</a>'
  bjps: '<b>Grimm V and Rubart J</b> (2024) <i>Authoring Educational Hypercomics Assisted
    by Large Language Models</i>. New York, USA: Association for Computing Machinery
    (ACM).'
  chicago: 'Grimm, Valentin, and Jessica Rubart. <i>Authoring Educational Hypercomics
    Assisted by Large Language Models</i>. <i>HT ’24: Proceedings of the 35th ACM
    Conference on Hypertext and Social Media</i>. New York, USA: Association for Computing
    Machinery (ACM), 2024. <a href="https://doi.org/10.1145/3648188.3675124">https://doi.org/10.1145/3648188.3675124</a>.'
  chicago-de: 'Grimm, Valentin und Jessica Rubart. 2024. <i>Authoring Educational
    Hypercomics assisted by Large Language Models</i>. <i>HT ’24: Proceedings of the
    35th ACM Conference on Hypertext and Social Media</i>. New York, USA: Association
    for Computing Machinery (ACM). doi:<a href="https://doi.org/10.1145/3648188.3675124">10.1145/3648188.3675124</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Grimm, Valentin</span> ; <span
    style="font-variant:small-caps;">Rubart, Jessica</span>: <i>Authoring Educational
    Hypercomics assisted by Large Language Models</i>. New York, USA : Association
    for Computing Machinery (ACM), 2024'
  havard: V. Grimm, J. Rubart, Authoring Educational Hypercomics assisted by Large
    Language Models, Association for Computing Machinery (ACM), New York, USA, 2024.
  ieee: 'V. Grimm and J. Rubart, <i>Authoring Educational Hypercomics assisted by
    Large Language Models</i>. New York, USA: Association for Computing Machinery
    (ACM), 2024, pp. 88–97. doi: <a href="https://doi.org/10.1145/3648188.3675124">10.1145/3648188.3675124</a>.'
  mla: 'Grimm, Valentin, and Jessica Rubart. “Authoring Educational Hypercomics Assisted
    by Large Language Models.” <i>HT ’24: Proceedings of the 35th ACM Conference on
    Hypertext and Social Media</i>, Association for Computing Machinery (ACM), 2024,
    pp. 88–97, <a href="https://doi.org/10.1145/3648188.3675124">https://doi.org/10.1145/3648188.3675124</a>.'
  short: V. Grimm, J. Rubart, Authoring Educational Hypercomics Assisted by Large
    Language Models, Association for Computing Machinery (ACM), New York, USA, 2024.
  ufg: '<b>Grimm, Valentin/Rubart, Jessica</b>: Authoring Educational Hypercomics
    assisted by Large Language Models, New York, USA 2024.'
  van: 'Grimm V, Rubart J. Authoring Educational Hypercomics assisted by Large Language
    Models. HT ’24: Proceedings of the 35th ACM Conference on Hypertext and Social
    Media. New York, USA: Association for Computing Machinery (ACM); 2024.'
conference:
  end_date: 2024-09-13
  location: Poznan, Poland
  name: 35th ACM Conference on Hypertext and Social Media
  start_date: 2024-09-10
date_created: 2024-11-22T12:25:29Z
date_updated: 2025-06-25T13:06:37Z
department:
- _id: DEP8008
- _id: DEP8008
doi: 10.1145/3648188.3675124
keyword:
- Storytelling
- Authoring
- GPT
- Hypercomics
- Large Language Models
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://dl.acm.org/doi/10.1145/3648188.3675124
oa: '1'
page: 88-97
place: New York, USA
publication: 'HT ''24: Proceedings of the 35th ACM Conference on Hypertext and Social
  Media'
publication_identifier:
  isbn:
  - '979-8-4007-0595-3 '
publication_status: published
publisher: Association for Computing Machinery (ACM)
quality_controlled: '1'
status: public
title: Authoring Educational Hypercomics assisted by Large Language Models
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '12383'
abstract:
- lang: eng
  text: Data stories are about revealing and communicating insights from complex data.
    In this paper, we propose conversational data stories, which support end users
    in understanding the key findings of the data analysis at hand by natural language
    conversation. Creating these stories manually means to put a lot of effort into
    understanding the data and crafting visuals. With increasingly powerful generative
    large language models (LLMs), natural language processing as well as automating
    the creation of data stories is a promising field. We present a concept for a
    conversational data storytelling system that integrates LLMs as well as explainable
    AI. We present the collected requirements for our system concept and how the requirements
    are addressed. To show the potential of our approach, we provide a use case scenario
    and a discussion in this paper. This is supposed to serve as a basis for future
    research that will aim at investigating the technical reliability and the user
    experience of such a system.
author:
- first_name: Valentin
  full_name: Grimm, Valentin
  id: '74000'
  last_name: Grimm
- first_name: Jessica
  full_name: Rubart, Jessica
  id: '45672'
  last_name: Rubart
- first_name: Patrick
  full_name: Söhlke, Patrick
  id: '71784'
  last_name: Söhlke
citation:
  ama: Grimm V, Rubart J, Söhlke P. <i>Conversational Data Stories</i>. (Atzenbeck
    C, Rubart J, ACM, eds.). ACM; 2024:6. doi:<a href="https://doi.org/10.1145/3679058.3688631">10.1145/3679058.3688631</a>
  apa: Grimm, V., Rubart, J., &#38; Söhlke, P. (2024). Conversational Data Stories.
    In C. Atzenbeck, J. Rubart, &#38; ACM (Eds.), <i>Proceedings of the 7th Workshop
    on Human Factors in Hypertext (HUMAN’24)</i> (p. 6). ACM. <a href="https://doi.org/10.1145/3679058.3688631">https://doi.org/10.1145/3679058.3688631</a>
  bjps: '<b>Grimm V, Rubart J and Söhlke P</b> (2024) <i>Conversational Data Stories</i>,
    Atzenbeck C, Rubart J, and ACM (eds). New York: ACM.'
  chicago: 'Grimm, Valentin, Jessica Rubart, and Patrick Söhlke. <i>Conversational
    Data Stories</i>. Edited by Claus Atzenbeck, Jessica Rubart, and ACM. <i>Proceedings
    of the 7th Workshop on Human Factors in Hypertext (HUMAN’24)</i>. New York: ACM,
    2024. <a href="https://doi.org/10.1145/3679058.3688631">https://doi.org/10.1145/3679058.3688631</a>.'
  chicago-de: 'Grimm, Valentin, Jessica Rubart und Patrick Söhlke. 2024. <i>Conversational
    Data Stories</i>. Hg. von Claus Atzenbeck, Jessica Rubart, und ACM. <i>Proceedings
    of the 7th Workshop on Human Factors in Hypertext (HUMAN’24)</i>. New York: ACM.
    doi:<a href="https://doi.org/10.1145/3679058.3688631">10.1145/3679058.3688631</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Grimm, Valentin</span> ; <span
    style="font-variant:small-caps;">Rubart, Jessica</span> ; <span style="font-variant:small-caps;">Söhlke,
    Patrick</span> ; <span style="font-variant:small-caps;">Atzenbeck, C.</span> ;
    <span style="font-variant:small-caps;">Rubart, J.</span> ; <span style="font-variant:small-caps;">ACM</span>
    (Hrsg.): <i>Conversational Data Stories</i>. New York : ACM, 2024'
  havard: V. Grimm, J. Rubart, P. Söhlke, Conversational Data Stories, ACM, New York,
    2024.
  ieee: 'V. Grimm, J. Rubart, and P. Söhlke, <i>Conversational Data Stories</i>. New
    York: ACM, 2024, p. 6. doi: <a href="https://doi.org/10.1145/3679058.3688631">10.1145/3679058.3688631</a>.'
  mla: Grimm, Valentin, et al. “Conversational Data Stories.” <i>Proceedings of the
    7th Workshop on Human Factors in Hypertext (HUMAN’24)</i>, edited by Claus Atzenbeck
    et al., ACM, 2024, p. 6, <a href="https://doi.org/10.1145/3679058.3688631">https://doi.org/10.1145/3679058.3688631</a>.
  short: V. Grimm, J. Rubart, P. Söhlke, Conversational Data Stories, ACM, New York,
    2024.
  ufg: '<b>Grimm, Valentin/Rubart, Jessica/Söhlke, Patrick</b>: Conversational Data
    Stories, hg. von Atzenbeck, Claus/Rubart, Jessica, ACM, New York 2024.'
  van: 'Grimm V, Rubart J, Söhlke P. Conversational Data Stories. Atzenbeck C, Rubart
    J, ACM, editors. Proceedings of the 7th Workshop on Human Factors in Hypertext
    (HUMAN’24). New York: ACM; 2024.'
conference:
  end_date: 2024-09-13
  location: Poznan Poland
  name: 7th Workshop on Human Factors in Hypertext (HUMAN)
  start_date: 2024-09-10
corporate_editor:
- ACM
date_created: 2025-01-21T13:23:17Z
date_updated: 2025-06-25T13:08:04Z
department:
- _id: DEP8000
- _id: DEP8008
doi: 10.1145/3679058.3688631
editor:
- first_name: Claus
  full_name: Atzenbeck, Claus
  last_name: Atzenbeck
- first_name: Jessica
  full_name: Rubart, Jessica
  id: '45672'
  last_name: Rubart
keyword:
- Data Storytelling
- Conversational Assistant
- Conversational Data Storytelling
- Explainable AI
language:
- iso: eng
page: '6'
place: New York
publication: Proceedings of the 7th Workshop on Human Factors in Hypertext (HUMAN'24)
publication_identifier:
  isbn:
  - 979-8-4007-1120-6
publication_status: published
publisher: ACM
status: public
title: Conversational Data Stories
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '1719'
author:
- first_name: Lena-Carolin
  full_name: Lohfink, Lena-Carolin
  last_name: Lohfink
citation:
  ama: 'Lohfink L-C. <i>Concept Art - Die Bedeutung visueller Konzeption in Realfilm-
    und Animationsfilmproduktionen</i>. Lemgo: Hochschule Ostwestfalen-Lippe; 2015.'
  apa: 'Lohfink, L.-C. (2015). <i>Concept Art - Die Bedeutung visueller Konzeption
    in Realfilm- und Animationsfilmproduktionen</i>. Lemgo: Hochschule Ostwestfalen-Lippe.'
  bjps: '<b>Lohfink L-C</b> (2015) <i>Concept Art - Die Bedeutung visueller Konzeption
    in Realfilm- und Animationsfilmproduktionen</i>. Lemgo: Hochschule Ostwestfalen-Lippe.'
  chicago: 'Lohfink, Lena-Carolin. <i>Concept Art - Die Bedeutung visueller Konzeption
    in Realfilm- und Animationsfilmproduktionen</i>. Lemgo: Hochschule Ostwestfalen-Lippe,
    2015.'
  chicago-de: 'Lohfink, Lena-Carolin. 2015. <i>Concept Art - Die Bedeutung visueller
    Konzeption in Realfilm- und Animationsfilmproduktionen</i>. Lemgo: Hochschule
    Ostwestfalen-Lippe.'
  din1505-2-1: '<span style="font-variant:small-caps;">Lohfink, Lena-Carolin</span>:
    <i>Concept Art - Die Bedeutung visueller Konzeption in Realfilm- und Animationsfilmproduktionen</i>.
    Lemgo : Hochschule Ostwestfalen-Lippe, 2015'
  havard: L.-C. Lohfink, Concept Art - Die Bedeutung visueller Konzeption in Realfilm-
    und Animationsfilmproduktionen, Hochschule Ostwestfalen-Lippe, Lemgo, 2015.
  ieee: 'L.-C. Lohfink, <i>Concept Art - Die Bedeutung visueller Konzeption in Realfilm-
    und Animationsfilmproduktionen</i>. Lemgo: Hochschule Ostwestfalen-Lippe, 2015.'
  mla: Lohfink, Lena-Carolin. <i>Concept Art - Die Bedeutung visueller Konzeption
    in Realfilm- und Animationsfilmproduktionen</i>. Hochschule Ostwestfalen-Lippe,
    2015.
  short: L.-C. Lohfink, Concept Art - Die Bedeutung visueller Konzeption in Realfilm-
    und Animationsfilmproduktionen, Hochschule Ostwestfalen-Lippe, Lemgo, 2015.
  ufg: '<b>Lohfink, Lena-Carolin (2015)</b>: Concept Art - Die Bedeutung visueller
    Konzeption in Realfilm- und Animationsfilmproduktionen, Lemgo.'
  van: 'Lohfink L-C. Concept Art - Die Bedeutung visueller Konzeption in Realfilm-
    und Animationsfilmproduktionen. Lemgo: Hochschule Ostwestfalen-Lippe; 2015. 46
    p.'
date_created: 2019-07-29T11:41:20Z
date_updated: 2023-03-15T13:49:37Z
ddc:
- '791'
department:
- _id: DEP2001
file:
- access_level: closed
  content_type: application/pdf
  creator: czr-e2t
  date_created: 2019-07-29T11:43:32Z
  date_updated: 2019-08-05T10:23:58Z
  file_id: '1720'
  file_name: BachelorarbeitundConceptArt_Lena-Carolin Lohfink_WS1415(1).pdf
  file_size: 14973996
  relation: main_file
file_date_updated: 2019-08-05T10:23:58Z
has_accepted_license: '1'
keyword:
- Animation
- Concept Art
- Film
- visuelle Konzeption visual storytelling
language:
- iso: ger
page: '46'
place: Lemgo
publication_status: published
publisher: Hochschule Ostwestfalen-Lippe
status: public
supervisor:
- first_name: Guido
  full_name: Falkemeier, Guido
  id: '29084'
  last_name: Falkemeier
- first_name: Heizo
  full_name: Schulze, Heizo
  id: '29126'
  last_name: Schulze
title: Concept Art - Die Bedeutung visueller Konzeption in Realfilm- und Animationsfilmproduktionen
type: bachelor_thesis
user_id: '74004'
year: 2015
...
