Communication Analysis through Visual Analytics : Current Practices, Challenges, and New Frontiers

Fischer, Maximilian T.; Dennig, Frederik L.; Seebacher, Daniel; Keim, Daniel A.; El-Assady, Mennatallah

Communication Analysis through Visual Analytics : Current Practices, Challenges, and New Frontiers

Dateien

Fischer_2-19edotbi2714a6.pdfGröße: 532.26 KBDownloads: 35

Datum

2022

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

2022 IEEE Visualization in Data Science (VDS) : Proceedings. Piscataway, NJ: IEEE, 2022, pp. 6-16. ISBN 978-1-66545-721-7. Available under: doi: 10.1109/VDS57266.2022.00006

Zusammenfassung

The automated analysis of digital human communication data often focuses on specific aspects such as content or network structure in isolation. This can provide limited perspectives while making cross-methodological analyses, occurring in domains like investigative journalism, difficult. Communication research in psychology and the digital humanities instead stresses the importance of a holistic approach to overcome these limiting factors. In this work, we conduct an extensive survey on the properties of over forty semi-automated communication analysis systems and investigate how they cover concepts described in theoretical communication research. From these investigations, we derive a design space and contribute a conceptual framework based on communication research, technical considerations, and the surveyed approaches. The framework describes the systems' properties, capabilities, and composition through a wide range of criteria organized in the dimensions (1) Data, (2) Processing and Models, (3) Visual Interface, and (4) Knowledge Generation. These criteria enable a formalization of digital communication analysis through visual analytics, which, we argue, is uniquely suited for this task by tackling automation complexity while leveraging domain knowledge. With our framework, we identify shortcomings and research challenges, such as group communication dynamics, trust and privacy considerations, and holistic approaches. Simultaneously, our framework supports the evaluation of systems and promotes the mutual exchange between researchers through a structured common language, laying the foundations for future research on communication analysis.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Communication analysis, visual analytics, conceptual framework, design space, state of the art

Konferenz

2022 IEEE Visualization in Data Science (VDS), 16. Okt. 2022 - 17. Okt. 2022, Oklahoma City, OK, USA

Zitieren

ISO 690

FISCHER, Maximilian T., Frederik L. DENNIG, Daniel SEEBACHER, Daniel A. KEIM, Mennatallah EL-ASSADY, 2022. Communication Analysis through Visual Analytics : Current Practices, Challenges, and New Frontiers. 2022 IEEE Visualization in Data Science (VDS). Oklahoma City, OK, USA, 16. Okt. 2022 - 17. Okt. 2022. In: 2022 IEEE Visualization in Data Science (VDS) : Proceedings. Piscataway, NJ: IEEE, 2022, pp. 6-16. ISBN 978-1-66545-721-7. Available under: doi: 10.1109/VDS57266.2022.00006

BibTex

@inproceedings{Fischer2022Commu-59659,
  year={2022},
  doi={10.1109/VDS57266.2022.00006},
  title={Communication Analysis through Visual Analytics : Current Practices, Challenges, and New Frontiers},
  isbn={978-1-66545-721-7},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2022 IEEE Visualization in Data Science (VDS) : Proceedings},
  pages={6--16},
  author={Fischer, Maximilian T. and Dennig, Frederik L. and Seebacher, Daniel and Keim, Daniel A. and El-Assady, Mennatallah}
}

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Universitätsbibliographie

Ja