TY - JOUR A1 - Schwan, Hannah A1 - Arndt, Jonas A1 - Dörk, Marian T1 - Disclosure as a critical-feminist design practice for Web-based data stories JF - First Monday N2 - We present findings from design research on disclosure at the intersection of data visualization, digital storytelling, and feminism. While there is an increased awareness of power structures in data science, computing, and design, there is little design research to confront these. This work explores the potential of disclosing context information of data stories, i.e., digital storytelling formats utilizing data visualizations, to enable critical-feminist readings of and reflections on these stories. Drawing from a growing body of feminist scholarship in human-computer interaction, data science, and beyond, we identify key aspects and forms of disclosure for embedding them into visual data story interfaces. We devise and validate these aspects and forms within a case study: a Web-based scrollytelling article explaining the feminist concept of intersectionality using a combination of animated illustration, data visualization, and text. With this work, we demonstrate and discuss the potentials and pitfalls of disclosure practices in data storytelling. KW - Data stories KW - Web-based scrollytelling KW - Publizität KW - Kontext KW - Feminismus KW - Erzählen Y1 - 2022 U6 - https://doi.org/10.5210/fm.v27i11.12712 SN - 1396-0466 VL - 27 IS - 11 CY - Chicago ER - TY - JOUR A1 - Rodighiero, Dario A1 - Derry, Lins A1 - Duhaime, Douglas A1 - Kruguer, Jordan A1 - Mueller, Maximilian C. A1 - Pietsch, Christopher A1 - Schnapp, Jeffrey T. A1 - Steward, Jeff T1 - Surprise machines : revealing Harvard Art Museums’ image collection JF - Information Design Journal N2 - Surprise Machines is a project of experimental museology that sets out to visualize the entire image collection of the Harvard Art Museums, with a view to opening up unexpected vistas on more than 200,000 objects usually inaccessible to visitors. The project is part of the exhibition organized by metaLAB (at) Harvard entitled Curatorial A(i)gents and explores the limits of artificial intelligence to display a large set of images and create surprise among visitors. To achieve this feeling of surprise, a choreographic interface was designed to connect the audience’s movement with several unique views of the collection. KW - Künstliche Intelligenz KW - Digitales Archiv KW - Museumskunde KW - Netzwerk KW - Visualisierung Y1 - 2022 U6 - https://doi.org/10.1075/idj.22013.rod SN - 1569-979X VL - 27 IS - 1 SP - 21 EP - 34 PB - John Benjamins Publishing Company CY - Amsterdam ER - TY - CHAP ED - Heisig, Peter T1 - Proceedings of the 17th International Conference on Knowledge Management BT - “Knowledge, Uncertainty and Risks: From individual to global scale” N2 - The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. The conference was among the first post-pandemic face to face conferences, and the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. KW - Wissensmanagement KW - Big Data KW - Information Engineering Y1 - 2022 UR - https://digital.library.unt.edu/ark:/67531/metadc2026753/ CY - Denton ER - TY - JOUR A1 - Bruhn, Thomas A1 - Meier, Sebastian A1 - Lawrence, Mark G. T1 - Interactive network visualization on the integration of mindsets and sustainability : creating conditions for emergence through a relational narrative JF - Innovation : The European Journal of Social Science Research N2 - Transdisciplinary research processes often involve the integration of knowledge and stakeholders from various backgrounds. Here, we introduce the story of the research project AMA (A Mindset for the Anthropocene) on the role of mindsets in the context of sustainability and present an interactive visualization tool that we developed for stakeholder mapping and research communication. Through this platform, we provide access and navigation to everyone interested in this field of research and we have simultaneously created a channel for all stakeholders to co-create content. Here, we describe the design and functionalities of the platform and the participatory way it was developed as part of our stakeholder engagement. We discuss upon how such a design allows for reflection of potential biases in transdisciplinary research processes and simultaneously catalyzing self-organization in stakeholder networks. KW - Stakeholder KW - Nachhaltigkeit KW - Transdisziplinarität KW - Visualisierung KW - Datenbank Y1 - 2022 U6 - https://doi.org/10.1080/13511610.2022.2101987 SN - 1351-1610 VL - 36 IS - 1 SP - 71 EP - 84 PB - Routledge, Taylor & Francis Group CY - London ER - TY - CHAP A1 - Meier, Sebastian T1 - Semi-automatic spatial classification of heterogeneous spatial open government data : use case of Germany T2 - Abstracts of the International Cartographic Association N2 - As part of the research project Open Data Cloud Services (ODCS), we have been trying to overcome some of the limitations introduced through the heterogeneity of spatial open government data (sOGD). In this paper we describe some of the challenges of sODG and one of the tools we built to spatially organize heterogenous sOGD, to make it easier for users to find data and automatically integrate it into existing data structures and in the future allow for cross-dataset spatial analysis. KW - Open Government Data KW - Klassifikation KW - Ähnlichkeitssuche KW - Taxonomie KW - Automation Y1 - 2022 U6 - https://doi.org/10.5194/ica-abs-5-59-2022 SN - 2570-2106 PB - Copernicus Publications CY - Göttingen ER - TY - CHAP A1 - Nakov, Preslav A1 - Barrón-Cedño, Alberto A1 - Da San Martino, Giovanni A1 - Alam, Firoj A1 - Struß, Julia Maria A1 - Mandl, Thomas A1 - Míguez, Rubén A1 - Caselli, Tommaso A1 - Kutlu, Mucahid A1 - Zaghouani, Wajdi A1 - Li, Chengkai A1 - Shaar, Shaden A1 - Shahi, Gautam Kishore A1 - Mubarak, Hamdy A1 - Nikolov, Alex A1 - Babulkov, Nikolay A1 - Kartal, Yavuz Selim A1 - Beltrán, Javier T1 - The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection T2 - Advances in Information Retrieval. ECIR 2022 N2 - The fifth edition of the CheckThat! Lab is held as part of the 2022 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting various factuality tasks in seven languages: Arabic, Bulgarian, Dutch, English, German, Spanish, and Turkish. Task 1 focuses on disinformation related to the ongoing COVID-19 infodemic and politics, and asks to predict whether a tweet is worth fact-checking, contains a verifiable factual claim, is harmful to the society, or is of interest to policy makers and why. Task 2 asks to retrieve claims that have been previously fact-checked and that could be useful to verify the claim in a tweet. Task 3 is to predict the veracity of a news article. Tasks 1 and 3 are classification problems, while Task 2 is a ranking one. KW - Desinformation KW - Fehlinformation KW - COVID-19 KW - Fact-checking KW - Check-worthiness estimation Y1 - 2022 SN - 978-3-030-99739-7 U6 - https://doi.org/10.1007/978-3-030-99739-7_52 SN - 0302-9743 SP - 416 EP - 428 PB - Springer CY - Cham ER - TY - CHAP A1 - Morat, Paul A1 - Schwerdtfeger, Aaron A1 - Heidmann, Frank T1 - Nachtalb BT - A multisensory Neurofeedback VR-Interface T2 - Proceedings SIGGRAPH 2022 : Immersive Pavilion N2 - Nachtalb is an immersive interface that enables brain-to-brain interaction using multisensory feedback. With the help of the g.tec Unicorn Hybrid Black brain-computer-interface (BCI), brain-activity-data is measured and translated visually with the Oculus Quest 2, tactilely with the bHaptics TactSuit and auditorily with 3D Sound. This intends to create a feedback loop that turns brain activity from data-input into sensory output which directly influences the brain activity data-input again. KW - brain computer interfaces KW - extended reality KW - virtual reality KW - Gehirn-Computer-Schnittstelle KW - Virtuelle Realität KW - Neurofeedback Y1 - 2022 SN - 978-1-4503-9369-0 U6 - https://doi.org/10.1145/3532834.3536207 SP - 1 EP - 2 PB - Association for Computing Machinery CY - New York ER - TY - CHAP A1 - Nakov, Preslav A1 - Barrón-Cedño, Alberto A1 - Da San Martino, Giovanni A1 - Alam, Firoj A1 - Struß, Julia Maria A1 - Mandl, Thomas A1 - Míguez, Rubén A1 - Caselli, Tommaso A1 - Kutlu, Mucahid A1 - Zaghouani, Wajdi A1 - Li, Chengkai A1 - Shaar, Shaden A1 - Shahi, Gautam Kishore A1 - Mubarak, Hamdy A1 - Nikolov, Alex A1 - Babulkov, Nikolay A1 - Kartal, Yavuz Selim A1 - Wiegand, Michael A1 - Siegel, Melanie A1 - Köhler, Juliane T1 - Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection T2 - Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2022. N2 - We describe the fifth edition of the CheckThat! lab, part of the 2022 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality in multiple languages: Arabic, Bulgarian, Dutch, English, German, Spanish, and Turkish. Task 1 asks to identify relevant claims in tweets in terms of check-worthiness, verifiability, harmfullness, and attention-worthiness. Task 2 asks to detect previously fact-checked claims that could be relevant to fact-check a new claim. It targets both tweets and political debates/speeches. Task 3 asks to predict the veracity of the main claim in a news article. CheckThat! was the most popular lab at CLEF-2022 in terms of team registrations: 137 teams. More than one-third (37%) of them actually participated: 18, 7, and 26 teams submitted 210, 37, and 126 official runs for tasks 1, 2, and 3, respectively. KW - Check-worthiness estimation KW - Fact-checking KW - Desinformation KW - Fehlinformation KW - COVID-19 Y1 - 2022 SN - 978-3-031-13643-6 U6 - https://doi.org/10.1007/978-3-031-13643-6_29 SN - 0302-9743 SP - 495 EP - 520 PB - Springer CY - Cham ER -