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      Crowdsourcing – The Real People behind the Crowd

      proceedings-article

      Electronic Visualisation and the Arts (EVA 2017) (EVA)

      Electronic Visualisation and the Arts

      11 – 13 July 2017

      Crowdsourcing, Online survey, Images, Image Archive

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            Abstract

            Following the successful crowdsourcing project involving Swissair retirees (2009–2013), ETH Library’s Image Archive set up a comments function on its image database at the end of 2015. On 18 January 2016, the Neue Zürcher Zeitung (NZZ) reported on it and triggered a huge response in both the media and the general public, who are now helping to identify images. This article focuses on our experiences with public crowdsourcing in relation to the amendments on the image database, the volunteers’ approach, the internal editing workflow and the communication with the volunteers. Community care is a key factor for successful crowdsourcing initiatives. The most important instruments tested in the image archive are presented and discussed. In order to get to know the unknown crowd better, an online survey on the motivation, work techniques and sociodemographic background among the crowd was conducted in early 2017. The results of this survey will be showcased in the presentation.

            Content

            Author and article information

            Contributors
            Conference
            July 2017
            July 2017
            : 59-64
            Affiliations
            [0001]ETH Library, Image Archive

            ETH Zurich, Ramistrasse 101, 8092

            Zurich, Switzerland
            Article
            10.14236/ewic/EVA2017.10
            486982e0-b495-4e3a-83a9-b85c9014a51e
            © Graf. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2017, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Electronic Visualisation and the Arts (EVA 2017)
            EVA
            London, UK
            11 – 13 July 2017
            Electronic Workshops in Computing (eWiC)
            Electronic Visualisation and the Arts
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            4. REFERENCES

            1. 2013 Crowdsourcing - Neue Möglichkeiten und Grenzen für Bildarchive EVA 2013 Berlin, Berlin: Gesellschaft z. Förderung angewandter Informatik 96 99

            2. 2016 Crowdsourcing: Die Erschließung des Fotoarchivs der Swissair im Bildarchiv der ETH-Bibliothek, Zürich Rundbrief Fotografie 23 1 [N.F. 89] 24 32

            3. 2016 Ein Florentiner Palast in Opfikon Neue Zürcher Zeitung 20 1 2016 http://www.nzz.ch/zuerich/ein-florentiner-palazzo-in-opfikon-1.18680173 22 March 2017

            4. 2016a Crowdsourcing des ETH-Bildarchivs: Freiwillige haben 5751 Bilderrätsel gelöst Neue Zürcher Zeitung 17 11 2016 http://www.nzz.ch/zuerich/crowdsourcing-des-eth-bildarchivs-freiwillige-haben-5751-bilderraetsel-geloest-ld.128710 22 March 2017

            5. 2016b Wer kennt die Berge, Orte und Fabriken? Neue Zürcher Zeitung 18 01 2016 http://www.nzz.ch/zuerich/wer-kennt-die-berge-orte-und-fabriken-1.18678913 22 March 2017

            6. 2016 Foto in cerca di autore, RSI, Radiotelevisione Svizzera Telegiornale 18 11 2016 http://www.rsi.ch/plav/tv/telegiornale/video/18-11-2016-foto-in-cerca-dautore?id=8336419 22 March 2017

            7. et al 2008 For the Common Good: The Library of Congress Flickr Pilot Project 30 10 2008 http://www.loc.gov/rr/print/flickrreportfinal.pdf 22 March 2017

            8. SRF 1 Radio 2016a Das Bildarchiv der ETH bietet Bilderrätsel der besonderen Art Treffpunkt SRF 1, Schweizer Radio 26 01 2016 http://www.srf.ch/sendungen/treffpunkt/das-bildarchiv-der-eth-bietet-bilderraetsel-der-besonderen-art 22 March 2017

            9. SRF 1 Radio 2016b ETH-Bildarchiv: Kennen Sie dieses Bild? Tagesprogramm SRF 1, Schweizer Radio 19 01 2016 http://www.srf.ch/radio-srf-1/radio-srf-1/eth-bildarchiv-kennen-sie-dieses-bild 22 March 2017

            10. 2016 ETH löst Bilderrätsel Tagesschau SRF 1, Schweizer Fernsehen 18 01 2016 http://www.srf.ch/play/tv/tagesschau/video/eth-loest-bilderraetsel?id=d00b8618-9e72-49d1-a10b-b1c158a83977 22 March 2017

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