„We are journalists.“ Production Practices, Attitudes and a Case Study of the New York Times Newsroom

Weber, Wibke; Rall, Hans-Martin

doi:10.1007/978-3-642-15453-9_9

Cited by 5 publications

(6 citation statements)

References 3 publications

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“…Some scholars and professionals have emphasized the continuity between CAR and data journalism (e.g., Gordon 2013; Gray, Bounegru, and Chambers 2012), but data journalism's decoupling with investigative journalism and integration into broader journalistic practices marks a significant break between CAR and data journalism (Gray, Bounegru, and Chambers 2012;Marshall 2011;Minkoff 2010). Other distinctions include data journalism's emphasis on visualization as a core practice through a close connection between visualization design and journalistic values (Gordon 2013;Weber and Rall 2013), and an epistemological break in which data journalism views readers as co-constructors of truths and moral claims (Parasie and Dagiral 2013).…”

Section: Data Journalismmentioning

confidence: 99%

Clarifying Journalism’s Quantitative Turn

2014

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As quantitative forms have become more prevalent in professional journalism, it has become increasingly important to distinguish between them and examine their roles in contemporary journalistic practice. This study defines and compares three quantitative forms of journalismcomputer-assisted reporting, data journalism, and computational journalism-examining the points of overlap and divergence among their journalistic values and practices. After setting the three forms against the cultural backdrop of the convergence between the open-source movement and professional journalistic norms, the study introduces a four-part typology to evaluate their epistemological and professional dimensions. In it, the three forms are classified according to their orientation toward professional expertise or networked participation, transparency or opacity, big data or targeted sampling, and a vision of an active or passive public. These three quantitative journalistic forms are ultimately characterized as related but distinct approaches to integrating the values of open-source culture and social science with those of professional journalism, each with its own flaws but also its own distinct contribution to democratically robust journalistic practice.

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Section: Data Journalismmentioning

confidence: 99%

Clarifying Journalism’s Quantitative Turn

2014

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“…Our work follows a dual approach of prototyping and storyboarding standpoints, specifically as a practice interlaced with story design, storyboarding, and brainstorming. We have been inspired by storyboarding practice, which has a simple yet effective visual communicative language [5]. Our contributions are the following:…”

Section: Motivation and Contributionsmentioning

confidence: 99%

“…The visualization process is embedded in a prototyping and storyboarding environment called DataStoryDesign (3) to produce a final product as a consumable DDS (4). The design language (1) consists of four main categories, including expression, connection, narration and replication, that have their own sub-design rules (5,6,7, and 8), as will be detailed in Section 3.…”

Section: Motivation and Contributionsmentioning

confidence: 99%

“…These collaborative practices do not enforce any strict visual structure in DDS production [37]. Sketching and storyboarding let the participants engage in visual communication as thinking aids to structure their thoughts [5]. With their ambiguous, rudimentary nature, sketches especially allow for multiple interpretations, re-interpretations, and the generation of new ideas [5].…”

Section: Collaborative Processmentioning

confidence: 99%

“…Sketching and storyboarding let the participants engage in visual communication as thinking aids to structure their thoughts [5]. With their ambiguous, rudimentary nature, sketches especially allow for multiple interpretations, re-interpretations, and the generation of new ideas [5]. Similarly, storyboards provide a visual framework for organizing and rethinking ideas, facilitating the exploration of different narrative possibilities [5].…”

Section: Collaborative Processmentioning

confidence: 99%

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A Design Language for Prototyping and Storyboarding Data-Driven Stories

Asgari,

Hurtut

2024

Applied Sciences

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Data-driven stories (DDS) are digital forms of storytelling that arrange data and visualizations to communicate a narrative of information to an audience. They have been growing rapidly over the past decades. As a result, a great degree of versatility appears in the forms of published DDS. The recent structures of DDS are more complex, respecting their arrangement, composition, features, and inner parts. In the current academic research, neither storytelling techniques nor any taxonomies suggest visual mechanisms to distinguish between different layouts, compositions, and arrangements. The lack of an expressive visual solution that integrates different parts of DDS under one structure prevents the authors from trying more alternative design paths in the story design process. In this proposed work, we unify all the constructing parts of DDS to define the narrative structure as a visually structured representation of the DDS narrative, which is formed and designed by their constructing elements. This solution proposes a design language consisting of a set of design rules that integrate the visual elements to represent the DDS narrative structure. Our evaluation of the audit process out of 100 DDS examples confirms that the design language is comprehensive, expressive, and versatile. Additionally, we developed DataStoryDesign, a system that incorporates this visual solution to facilitate prototyping and storyboarding DDS for a team of DDS authors. The preliminary result of the exploratory evaluation indicates that such a solution is effective in prototyping and storyboarding DDS. In addition, our findings confirmed that the existence of our design language improves the visual communication between different personas in the DDS production workflow.

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