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End-User Development and Social Big Data – Towards Tailorable Situation Assessment with Social Media

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New Perspectives in End-User Development

Abstract

The amount of data being available is increasing rapidly. Based on the technological advances with mobile and ubiquitous computing, the use of social media is getting more and more usual in daily life as well as in extraordinary situations, such as crises. Not surprisingly, this increasing use is one reason why data on the internet is also developing that fast. Currently, more than 3 billion people use the internet and the majority is also registered with social media services such as Facebook or Twitter. While processing this kind of data by the majority of non-technical users, concepts of End-User Development (EUD) are important. This chapter researches how concepts of EUD might be applied to handle social big data. Based on foundations and an empirical pre-study, we explore how EUD can support the gathering and assessment process of social media. In this context, we investigate how end-users can articulate their personal quality criteria appropriately and how the selection of relevant data can be supported by EUD approaches. We present a tailorable social media gathering service and quality assessment service for social media content, which has been implemented and integrated into an application for both volunteers and the emergency services.

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Notes

  1. 1.

    https://mention.com/en/

  2. 2.

    www.hootsuite.com

  3. 3.

    http://nlp.stanford.edu/software/CRF-NER.shtml

  4. 4.

    http://classifier4j.sourceforge.net/

  5. 5.

    http://www.openthesaurus.de/

  6. 6.

    http://www.gisgraphy.com/

  7. 7.

    https://code.google.com/p/google-gson/

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Acknowledgements

The research project EmerGent’ was funded by a grant of the European Union (FP7 No. 608352). This article is built upon existing and published research; the empirical study has been presented at Mensch & Computer conference (Reuter & Ritzkatis, 2014), in some parts the concept enhances, refocuses and improves a paper presented at the 2015 international symposium on EUD (Reuter et al., 2015).

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  1. University of Siegen, Siegen, Germany

    Christian Reuter, Marc-André Kaufhold & Thomas Ludwig

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  1. Christian Reuter
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Correspondence to Christian Reuter .

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  1. ISTI - C. N. R. , Pisa, Italy

    Fabio Paternò

  2. FB 5, Wirtschaftsinf.k u. N. Medien, Universität Siegen FB 5, Wirtschaftsinf.k u. N. Medien, Siegen, Nordrhein-Westfalen, Germany

    Volker Wulf

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Reuter, C., Kaufhold, MA., Ludwig, T. (2017). End-User Development and Social Big Data – Towards Tailorable Situation Assessment with Social Media. In: Paternò, F., Wulf, V. (eds) New Perspectives in End-User Development. Springer, Cham. https://doi.org/10.1007/978-3-319-60291-2_12

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