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M., &#38; Kundisch, D. (n.d.). Moment or Movement – An Empirical Analysis of the Heterogeneous Impact of Media Attention on Charitable Crowdfunding Campaigns. <i>Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)</i>. Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA.","bibtex":"@inproceedings{Seutter_Müller_Müller_Kundisch, title={Moment or Movement – An Empirical Analysis of the Heterogeneous Impact of Media Attention on Charitable Crowdfunding Campaigns}, booktitle={Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS)}, author={Seutter, Janina and Müller, Michelle and Müller, Stefanie Jutta Marianne and Kundisch, Dennis} }","ama":"Seutter J, Müller M, Müller SJM, Kundisch D. Moment or Movement – An Empirical Analysis of the Heterogeneous Impact of Media Attention on Charitable Crowdfunding Campaigns. 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In: Bui TX, ed. <i>Proceedings of the 55th Hawaii International Conference on System Sciences</i>. ; 2022."},"publication":"Proceedings of the 55th Hawaii International Conference on System Sciences"},{"conference":{"location":"Nürnberg, Germany","name":"Internationalen Tagung Wirtschaftsinformatik 2022"},"author":[{"last_name":"Schoormann","first_name":"T.","full_name":"Schoormann, T."},{"full_name":"Möller, F.","first_name":"F.","last_name":"Möller"},{"id":"36372","last_name":"Szopinski","first_name":"Daniel","full_name":"Szopinski, Daniel"}],"status":"public","title":"Exploring purposes of using taxonomies","year":"2022","has_accepted_license":"1","date_updated":"2022-01-06T06:57:37Z","publication_status":"accepted","language":[{"iso":"eng"}],"_id":"27280","ddc":["000"],"user_id":"477","citation":{"mla":"Schoormann, T., et al. “Exploring Purposes of Using Taxonomies.” <i>Tagungsband Der 17. Internationalen Tagung Wirtschaftsinformatik 2022</i>.","bibtex":"@inproceedings{Schoormann_Möller_Szopinski, title={Exploring purposes of using taxonomies}, booktitle={Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022}, author={Schoormann, T. and Möller, F. and Szopinski, Daniel} }","ama":"Schoormann T, Möller F, Szopinski D. Exploring purposes of using taxonomies. In: <i>Tagungsband Der 17. Internationalen Tagung Wirtschaftsinformatik 2022</i>.","ieee":"T. Schoormann, F. Möller, and D. Szopinski, “Exploring purposes of using taxonomies,” presented at the Internationalen Tagung Wirtschaftsinformatik 2022, Nürnberg, Germany.","apa":"Schoormann, T., Möller, F., &#38; Szopinski, D. (n.d.). Exploring purposes of using taxonomies. <i>Tagungsband Der 17. Internationalen Tagung Wirtschaftsinformatik 2022</i>. Internationalen Tagung Wirtschaftsinformatik 2022, Nürnberg, Germany.","short":"T. Schoormann, F. Möller, D. Szopinski, in: Tagungsband Der 17. 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While traditional hedonic house pricing models are fed with hard information based on housing attributes, recently also soft information has been incorporated to increase the predictive performance. This soft information can be extracted from image data by complex models like Convolutional Neural Networks (CNNs). However, these are intransparent which excludes their use for high-stakes financial decisions. To overcome this limitation, we examine if a two-stage modeling approach can provide explainability. We combine visual interpretability by Regression Activation Maps (RAM) for the CNN and a linear regression for the overall prediction. Our experiments are based on 62.000 family homes in Philadelphia and the results indicate that the CNN learns aspects related to vegetation and quality aspects of the house from exterior images, improving the predictive accuracy of real estate appraisal by up to 5.4%."}],"publication":"55th Annual Hawaii International Conference on System Sciences (HICSS-55)","citation":{"ieee":"J.-P. Kucklick, “Visual Interpretability of Image-based Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.","apa":"Kucklick, J.-P. (2022). Visual Interpretability of Image-based Real Estate Appraisal. <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>. Hawaii International Conference on System Science (HICSS), Virtual.","chicago":"Kucklick, Jan-Peter. “Visual Interpretability of Image-Based Real Estate Appraisal.” In <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>, 2022.","short":"J.-P. Kucklick, in: 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.","mla":"Kucklick, Jan-Peter. “Visual Interpretability of Image-Based Real Estate Appraisal.” <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>, 2022.","bibtex":"@inproceedings{Kucklick_2022, title={Visual Interpretability of Image-based Real Estate Appraisal}, booktitle={55th Annual Hawaii International Conference on System Sciences (HICSS-55)}, author={Kucklick, Jan-Peter}, year={2022} }","ama":"Kucklick J-P. Visual Interpretability of Image-based Real Estate Appraisal. In: <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>. ; 2022."}},{"date_updated":"2022-01-06T06:57:40Z","author":[{"last_name":"Heuwinkel","first_name":"Tim","full_name":"Heuwinkel, Tim"},{"full_name":"Kucklick, Jan-Peter","last_name":"Kucklick","first_name":"Jan-Peter","id":"77066"},{"id":"72849","last_name":"Müller","first_name":"Oliver","full_name":"Müller, Oliver"}],"conference":{"end_date":"2022-01-07","name":"Hawaii International Conference on System Science (HICSS)","start_date":"2022-01-03","location":"Virtual"},"status":"public","title":"Using Geolocated Text to Quantify Location in Real Estate Appraisal","year":"2022","user_id":"77066","_id":"27507","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://scholarspace.manoa.hawaii.edu/bitstream/10125/80039/0561.pdf"}],"abstract":[{"lang":"eng","text":"Accurate real estate appraisal is essential in decision making processes of financial institutions, governments, and trending real estate platforms like Zillow. One of the most important factors of a property’s value is its location. However, creating accurate quantifications of location remains a challenge. While traditional approaches rely on Geographical Information Systems (GIS), recently unstructured data in form of images was incorporated in the appraisal process, but text data remains an untapped reservoir. Our study shows that using text data in form of geolocated Wikipedia articles can increase predictive performance over traditional GIS-based methods by 8.2% in spatial out-of-sample validation. A framework to automatically extract geographically weighted vector representations for text is established and used alongside traditional structural housing features to make predictions and to uncover local patterns on sale price for real estate transactions between 2015 and 2020 in Allegheny County, Pennsylvania."}],"citation":{"mla":"Heuwinkel, Tim, et al. “Using Geolocated Text to Quantify Location in Real Estate Appraisal.” <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>, 2022.","apa":"Heuwinkel, T., Kucklick, J.-P., &#38; Müller, O. (2022). Using Geolocated Text to Quantify Location in Real Estate Appraisal. <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>. Hawaii International Conference on System Science (HICSS), Virtual.","ieee":"T. Heuwinkel, J.-P. Kucklick, and O. Müller, “Using Geolocated Text to Quantify Location in Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.","ama":"Heuwinkel T, Kucklick J-P, Müller O. Using Geolocated Text to Quantify Location in Real Estate Appraisal. In: <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>. ; 2022.","short":"T. Heuwinkel, J.-P. Kucklick, O. Müller, in: 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.","chicago":"Heuwinkel, Tim, Jan-Peter Kucklick, and Oliver Müller. “Using Geolocated Text to Quantify Location in Real Estate Appraisal.” In <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>, 2022.","bibtex":"@inproceedings{Heuwinkel_Kucklick_Müller_2022, title={Using Geolocated Text to Quantify Location in Real Estate Appraisal}, booktitle={55th Annual Hawaii International Conference on System Sciences (HICSS-55)}, author={Heuwinkel, Tim and Kucklick, Jan-Peter and Müller, Oliver}, year={2022} }"},"publication":"55th Annual Hawaii International Conference on System Sciences (HICSS-55)","department":[{"_id":"195"}],"oa":"1","keyword":["Real Estate Appraisal","Text Regression","Natural Language Processing (NLP)","Location Intelligence","Wikipedia"],"type":"conference","date_created":"2021-11-17T07:12:03Z"},{"citation":{"chicago":"Fanasch, Patrizia. <i>Governance and Reputation in the Market for Experience Goods</i>, 2022. <a href=\"https://doi.org/10.17619/UNIPB/1-1292 \">https://doi.org/10.17619/UNIPB/1-1292 </a>.","short":"P. Fanasch, Governance and Reputation in the Market for Experience Goods, 2022.","apa":"Fanasch, P. (2022). <i>Governance and Reputation in the Market for Experience Goods</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-1292 \">https://doi.org/10.17619/UNIPB/1-1292 </a>","ieee":"P. Fanasch, <i>Governance and Reputation in the Market for Experience Goods</i>. 2022.","ama":"Fanasch P. <i>Governance and Reputation in the Market for Experience Goods</i>.; 2022. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1292 \">10.17619/UNIPB/1-1292 </a>","bibtex":"@book{Fanasch_2022, title={Governance and Reputation in the Market for Experience Goods}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1292 \">10.17619/UNIPB/1-1292 </a>}, author={Fanasch, Patrizia}, year={2022} }","mla":"Fanasch, Patrizia. <i>Governance and Reputation in the Market for Experience Goods</i>. 2022, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1292 \">10.17619/UNIPB/1-1292 </a>."},"supervisor":[{"id":"16019","first_name":"Bernd","last_name":"Frick","full_name":"Frick, Bernd"}],"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - A: SFB 901 - Project Area A","_id":"2"},{"_id":"8","name":"SFB 901 - A4: SFB 901 - Subproject A4"}],"date_created":"2022-03-03T10:20:06Z","type":"dissertation","department":[{"_id":"183"}],"status":"public","title":"Governance and Reputation in the Market for Experience Goods","year":"2022","author":[{"full_name":"Fanasch, Patrizia","first_name":"Patrizia","last_name":"Fanasch"}],"date_updated":"2022-03-11T06:08:40Z","language":[{"iso":"eng"}],"_id":"30201","user_id":"15504","doi":"10.17619/UNIPB/1-1292 "},{"_id":"30341","publisher":"Elsevier BV","page":"101869","volume":98,"user_id":"42447","status":"public","citation":{"mla":"Hoyer, Britta, and Dirk van Straaten. “Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis.” <i>Journal of Behavioral and Experimental Economics</i>, vol. 98, Elsevier BV, 2022, p. 101869, doi:<a href=\"https://doi.org/10.1016/j.socec.2022.101869\">10.1016/j.socec.2022.101869</a>.","ama":"Hoyer B, van Straaten D. Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis. <i>Journal of Behavioral and Experimental Economics</i>. 2022;98:101869. doi:<a href=\"https://doi.org/10.1016/j.socec.2022.101869\">10.1016/j.socec.2022.101869</a>","bibtex":"@article{Hoyer_van Straaten_2022, title={Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis}, volume={98}, DOI={<a href=\"https://doi.org/10.1016/j.socec.2022.101869\">10.1016/j.socec.2022.101869</a>}, journal={Journal of Behavioral and Experimental Economics}, publisher={Elsevier BV}, author={Hoyer, Britta and van Straaten, Dirk}, year={2022}, pages={101869} }","apa":"Hoyer, B., &#38; van Straaten, D. (2022). Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis. <i>Journal of Behavioral and Experimental Economics</i>, <i>98</i>, 101869. <a href=\"https://doi.org/10.1016/j.socec.2022.101869\">https://doi.org/10.1016/j.socec.2022.101869</a>","ieee":"B. Hoyer and D. van Straaten, “Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis,” <i>Journal of Behavioral and Experimental Economics</i>, vol. 98, p. 101869, 2022, doi: <a href=\"https://doi.org/10.1016/j.socec.2022.101869\">10.1016/j.socec.2022.101869</a>.","chicago":"Hoyer, Britta, and Dirk van Straaten. “Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis.” <i>Journal of Behavioral and Experimental Economics</i> 98 (2022): 101869. <a href=\"https://doi.org/10.1016/j.socec.2022.101869\">https://doi.org/10.1016/j.socec.2022.101869</a>.","short":"B. 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