@article{SchwanArndtDoerk, author = {Schwan, Hannah and Arndt, Jonas and D{\"o}rk, Marian}, title = {Disclosure as a critical-feminist design practice for Web-based data stories}, series = {First Monday}, volume = {27}, journal = {First Monday}, number = {11}, address = {Chicago}, organization = {University of Illinois Chicago Library}, issn = {1396-0466}, doi = {10.5210/fm.v27i11.12712}, abstract = {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.}, subject = {Publizit{\"a}t}, language = {en} } @article{RodighieroDerryDuhaimeetal., author = {Rodighiero, Dario and Derry, Lins and Duhaime, Douglas and Kruguer, Jordan and Mueller, Maximilian C. and Pietsch, Christopher and Schnapp, Jeffrey T. and Steward, Jeff}, title = {Surprise machines : revealing Harvard Art Museums' image collection}, series = {Information Design Journal}, volume = {27}, journal = {Information Design Journal}, number = {1}, publisher = {John Benjamins Publishing Company}, address = {Amsterdam}, issn = {1569-979X}, doi = {10.1075/idj.22013.rod}, pages = {21 -- 34}, abstract = {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.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} } @inproceedings{OPUS4-3043, title = {Proceedings of the 17th International Conference on Knowledge Management}, editor = {Heisig, Peter}, address = {Denton}, organization = {University of North Texas}, pages = {332}, abstract = {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.}, subject = {Wissensmanagement}, language = {en} } @article{BruhnMeierLawrence, author = {Bruhn, Thomas and Meier, Sebastian and Lawrence, Mark G.}, title = {Interactive network visualization on the integration of mindsets and sustainability : creating conditions for emergence through a relational narrative}, series = {Innovation : The European Journal of Social Science Research}, volume = {36}, journal = {Innovation : The European Journal of Social Science Research}, number = {1}, publisher = {Routledge, Taylor \& Francis Group}, address = {London}, issn = {1351-1610}, doi = {10.1080/13511610.2022.2101987}, pages = {71 -- 84}, abstract = {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.}, subject = {Stakeholder}, language = {en} } @inproceedings{Meier, author = {Meier, Sebastian}, title = {Semi-automatic spatial classification of heterogeneous spatial open government data : use case of Germany}, series = {Abstracts of the International Cartographic Association}, booktitle = {Abstracts of the International Cartographic Association}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2570-2106}, doi = {10.5194/ica-abs-5-59-2022}, pages = {2}, abstract = {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.}, subject = {Klassifikation}, language = {en} } @inproceedings{NakovBarronCednoDaSanMartinoetal., author = {Nakov, Preslav and Barr{\´o}n-Ced{\~n}o, Alberto and Da San Martino, Giovanni and Alam, Firoj and Struß, Julia Maria and Mandl, Thomas and M{\´i}guez, Rub{\´e}n and Caselli, Tommaso and Kutlu, Mucahid and Zaghouani, Wajdi and Li, Chengkai and Shaar, Shaden and Shahi, Gautam Kishore and Mubarak, Hamdy and Nikolov, Alex and Babulkov, Nikolay and Kartal, Yavuz Selim and Beltr{\´a}n, Javier}, title = {The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection}, series = {Advances in Information Retrieval. ECIR 2022}, booktitle = {Advances in Information Retrieval. ECIR 2022}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-99739-7}, issn = {0302-9743}, doi = {10.1007/978-3-030-99739-7_52}, pages = {416 -- 428}, abstract = {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.}, subject = {Desinformation}, language = {en} } @inproceedings{MoratSchwerdtfegerHeidmann, author = {Morat, Paul and Schwerdtfeger, Aaron and Heidmann, Frank}, title = {Nachtalb}, series = {Proceedings SIGGRAPH 2022 : Immersive Pavilion}, booktitle = {Proceedings SIGGRAPH 2022 : Immersive Pavilion}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {978-1-4503-9369-0}, doi = {10.1145/3532834.3536207}, pages = {1 -- 2}, abstract = {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.}, subject = {Gehirn-Computer-Schnittstelle}, language = {en} } @inproceedings{NakovBarronCednoDaSanMartinoetal., author = {Nakov, Preslav and Barr{\´o}n-Ced{\~n}o, Alberto and Da San Martino, Giovanni and Alam, Firoj and Struß, Julia Maria and Mandl, Thomas and M{\´i}guez, Rub{\´e}n and Caselli, Tommaso and Kutlu, Mucahid and Zaghouani, Wajdi and Li, Chengkai and Shaar, Shaden and Shahi, Gautam Kishore and Mubarak, Hamdy and Nikolov, Alex and Babulkov, Nikolay and Kartal, Yavuz Selim and Wiegand, Michael and Siegel, Melanie and K{\"o}hler, Juliane}, title = {Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection}, series = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2022.}, booktitle = {Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2022.}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-13643-6}, issn = {0302-9743}, doi = {10.1007/978-3-031-13643-6_29}, pages = {495 -- 520}, abstract = {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.}, subject = {Desinformation}, language = {en} }