--- _id: '53801' abstract: - lang: eng text: 'In this study, we evaluate the impact of gender-biased data from German-language physician reviews on the fairness of fine-tuned language models. For two different downstream tasks, we use data reported to be gender biased and aggregate it with annotations. First, we propose a new approach to aspect-based sentiment analysis that allows identifying, extracting, and classifying implicit and explicit aspect phrases and their polarity within a single model. The second task we present is grade prediction, where we predict the overall grade of a review on the basis of the review text. For both tasks, we train numerous transformer models and evaluate their performance. The aggregation of sensitive attributes, such as a physician’s gender and migration background, with individual text reviews allows us to measure the performance of the models with respect to these sensitive groups. These group-wise performance measures act as extrinsic bias measures for our downstream tasks. In addition, we translate several gender-specific templates of the intrinsic bias metrics into the German language and evaluate our fine-tuned models. Based on this set of tasks, fine-tuned models, and intrinsic and extrinsic bias measures, we perform correlation analyses between intrinsic and extrinsic bias measures. In terms of sensitive groups and effect sizes, our bias measure results show different directions. Furthermore, correlations between measures of intrinsic and extrinsic bias can be observed in different directions. This leads us to conclude that gender-biased data does not inherently lead to biased models. Other variables, such as template dependency for intrinsic measures and label distribution in the data, must be taken into account as they strongly influence the metric results. Therefore, we suggest that metrics and templates should be chosen according to the given task and the biases to be assessed. ' article_number: '102235' article_type: original author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Falk full_name: Maoro, Falk last_name: Maoro - first_name: Michaela full_name: Geierhos, Michaela last_name: Geierhos citation: ama: 'Kersting J, Maoro F, Geierhos M. Towards comparable ratings: Exploring bias in German physician reviews. Data & Knowledge Engineering. 2023;148. doi:10.1016/j.datak.2023.102235' apa: 'Kersting, J., Maoro, F., & Geierhos, M. (2023). Towards comparable ratings: Exploring bias in German physician reviews. Data & Knowledge Engineering, 148, Article 102235. https://doi.org/10.1016/j.datak.2023.102235' bibtex: '@article{Kersting_Maoro_Geierhos_2023, title={Towards comparable ratings: Exploring bias in German physician reviews}, volume={148}, DOI={10.1016/j.datak.2023.102235}, number={102235}, journal={Data & Knowledge Engineering}, publisher={Elsevier}, author={Kersting, Joschka and Maoro, Falk and Geierhos, Michaela}, year={2023} }' chicago: 'Kersting, Joschka, Falk Maoro, and Michaela Geierhos. “Towards Comparable Ratings: Exploring Bias in German Physician Reviews.” Data & Knowledge Engineering 148 (2023). https://doi.org/10.1016/j.datak.2023.102235.' ieee: 'J. Kersting, F. Maoro, and M. Geierhos, “Towards comparable ratings: Exploring bias in German physician reviews,” Data & Knowledge Engineering, vol. 148, Art. no. 102235, 2023, doi: 10.1016/j.datak.2023.102235.' mla: 'Kersting, Joschka, et al. “Towards Comparable Ratings: Exploring Bias in German Physician Reviews.” Data & Knowledge Engineering, vol. 148, 102235, Elsevier, 2023, doi:10.1016/j.datak.2023.102235.' short: J. Kersting, F. Maoro, M. Geierhos, Data & Knowledge Engineering 148 (2023). date_created: 2024-04-30T12:30:56Z date_updated: 2024-04-30T12:41:14Z ddc: - '004' department: - _id: '579' doi: 10.1016/j.datak.2023.102235 file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2024-04-30T12:34:35Z date_updated: 2024-04-30T12:34:35Z file_id: '53802' file_name: Kersting 2023.pdf file_size: 1381398 relation: main_file success: 1 file_date_updated: 2024-04-30T12:34:35Z funded_apc: '1' has_accepted_license: '1' intvolume: ' 148' keyword: - Language model fairness - Aspect phrase classification - Grade prediction - Physician reviews language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.1016/j.datak.2023.102235 ' oa: '1' project: - _id: '1' grant_number: '160364472' name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' grant_number: '160364472' name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)' publication: Data & Knowledge Engineering publication_identifier: issn: - 0169-023X publication_status: published publisher: Elsevier status: public title: 'Towards comparable ratings: Exploring bias in German physician reviews' type: journal_article user_id: '58701' volume: 148 year: '2023' ... --- _id: '15256' abstract: - lang: eng text: This paper deals with online customer reviews of local multi-service providers. While many studies investigate product reviews and online labour markets with service providers delivering intangible products “over the wire”, we focus on websites where providers offer multiple distinct services that can be booked, paid and reviewed online but are performed locally offline. This type of service providers has so far been neglected in the literature. This paper analyses reviews and applies sentiment analysis. It aims to gain new insights into local multi-service providers’ performance. There is a broad literature range presented with regard to the topics addressed. The results show, among other things, that providers with good ratings continue to perform well over time. We find that many positive reviews seem to encourage sales. On average, quantitative star ratings and qualitative ratings in the form of review texts match. Further results are also achieved in this study. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS; 2020:263--272.' apa: 'Kersting, J., & Geierhos, M. (2020). What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (pp. 263--272). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers}, booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={263--272} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 263--272. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, Valetta, Malta, 2020, pp. 263--272. mla: Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, 2020, pp. 263--272. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal, 2020, pp. 263--272.' conference: location: Valetta, Malta name: International Conference on Pattern Recognition Applications and Methods (ICPRAM) date_created: 2019-12-06T13:09:42Z date_updated: 2022-01-06T06:52:19Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:27:41Z date_updated: 2020-09-18T09:27:41Z file_id: '19577' file_name: Kersting & Geierhos (2020c), Kersting2020c.pdf file_size: 963370 relation: main_file success: 1 file_date_updated: 2020-09-18T09:27:41Z has_accepted_license: '1' keyword: - Customer Reviews - Sentiment Analysis - Online Labour Markets language: - iso: eng page: 263--272 place: Setúbal, Portugal project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods publisher: SCITEPRESS status: public title: What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers type: conference user_id: '58701' year: '2020' ... --- _id: '4682' author: - first_name: T. full_name: Schmiedel, T. last_name: Schmiedel - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller - first_name: J. full_name: vom Brocke, J. last_name: vom Brocke citation: ama: 'Schmiedel T, Müller O, vom Brocke J. Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture. Organizational Research Methods. 2019:941--968. doi:https://doi.org/10.1177/1094428118773858' apa: 'Schmiedel, T., Müller, O., & vom Brocke, J. (2019). Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture. Organizational Research Methods, 941--968. https://doi.org/10.1177/1094428118773858' bibtex: '@article{Schmiedel_Müller_vom Brocke_2019, title={Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture}, DOI={https://doi.org/10.1177/1094428118773858}, journal={Organizational Research Methods}, author={Schmiedel, T. and Müller, Oliver and vom Brocke, J.}, year={2019}, pages={941--968} }' chicago: 'Schmiedel, T., Oliver Müller, and J. vom Brocke. “Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture.” Organizational Research Methods, 2019, 941--968. https://doi.org/10.1177/1094428118773858.' ieee: 'T. Schmiedel, O. Müller, and J. vom Brocke, “Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture,” Organizational Research Methods, pp. 941--968, 2019.' mla: 'Schmiedel, T., et al. “Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture.” Organizational Research Methods, 2019, pp. 941--968, doi:https://doi.org/10.1177/1094428118773858.' short: T. Schmiedel, O. Müller, J. vom Brocke, Organizational Research Methods (2019) 941--968. date_created: 2018-10-12T08:24:26Z date_updated: 2022-01-06T07:01:18Z doi: https://doi.org/10.1177/1094428118773858 extern: '1' keyword: - online reviews - organizational culture - structural topic model - topic modeling - tutorial language: - iso: eng page: '941--968 ' publication: Organizational Research Methods status: public title: 'Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture' type: journal_article user_id: '72849' year: '2019' ... --- _id: '9613' abstract: - lang: eng text: The ability to openly evaluate products, locations and services is an achievement of the Web 2.0. It has never been easier to inform oneself about the quality of products or services and possible alternatives. Forming one’s own opinion based on the impressions of other people can lead to better experiences. However, this presupposes trust in one’s fellows as well as in the quality of the review platforms. In previous work on physician reviews and the corresponding websites, it was observed that there occurs faulty behavior by some reviewers and there were noteworthy differences in the technical implementation of the portals and in the efforts of site operators to maintain high quality reviews. These experiences raise new questions regarding what trust means on review platforms, how trust arises and how easily it can be destroyed. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Bäumer FS, Geierhos M. In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In: Ramachandran M, Walters R, Wills G, Méndez Muñoz V, Chang V, eds. Proceedings of the 4th International Conference on Internet of Things, Big Data and Security. Setúbal, Portugal: SCITEPRESS; 2019:147-155.' apa: 'Kersting, J., Bäumer, F. S., & Geierhos, M. (2019). In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In M. Ramachandran, R. Walters, G. Wills, V. Méndez Muñoz, & V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (pp. 147–155). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Kersting_Bäumer_Geierhos_2019, place={Setúbal, Portugal}, title={In Reviews We Trust: But Should We? Experiences with Physician Review Websites}, booktitle={Proceedings of the 4th International Conference on Internet of Things, Big Data and Security}, publisher={SCITEPRESS}, author={Kersting, Joschka and Bäumer, Frederik Simon and Geierhos, Michaela}, editor={Ramachandran, Muthu and Walters, Robert and Wills, Gary and Méndez Muñoz, Víctor and Chang, VictorEditors}, year={2019}, pages={147–155} }' chicago: 'Kersting, Joschka, Frederik Simon Bäumer, and Michaela Geierhos. “In Reviews We Trust: But Should We? Experiences with Physician Review Websites.” In Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, edited by Muthu Ramachandran, Robert Walters, Gary Wills, Víctor Méndez Muñoz, and Victor Chang, 147–55. Setúbal, Portugal: SCITEPRESS, 2019.' ieee: 'J. Kersting, F. S. Bäumer, and M. Geierhos, “In Reviews We Trust: But Should We? Experiences with Physician Review Websites,” in Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, Heraklion, Greece, 2019, pp. 147–155.' mla: 'Kersting, Joschka, et al. “In Reviews We Trust: But Should We? Experiences with Physician Review Websites.” Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, edited by Muthu Ramachandran et al., SCITEPRESS, 2019, pp. 147–55.' short: 'J. Kersting, F.S. Bäumer, M. Geierhos, in: M. Ramachandran, R. Walters, G. Wills, V. Méndez Muñoz, V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2019, pp. 147–155.' conference: end_date: 2019-05-04 location: Heraklion, Greece name: 4th International Conference on Internet of Things, Big Data and Security (IoTBDS 2019) start_date: 2019-05-02 date_created: 2019-05-06T09:00:48Z date_updated: 2022-01-06T07:04:17Z ddc: - '000' department: - _id: '1' - _id: '579' editor: - first_name: Muthu full_name: Ramachandran, Muthu last_name: Ramachandran - first_name: Robert full_name: Walters, Robert last_name: Walters - first_name: Gary full_name: Wills, Gary last_name: Wills - first_name: Víctor full_name: Méndez Muñoz, Víctor last_name: Méndez Muñoz - first_name: Victor full_name: Chang, Victor last_name: Chang file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:24:41Z date_updated: 2020-09-18T09:24:41Z file_id: '19573' file_name: Kersting et al. (2019), Kersting2019.pdf file_size: 1112502 relation: main_file success: 1 file_date_updated: 2020-09-18T09:24:41Z has_accepted_license: '1' keyword: - Trust - Physician Reviews - Network Analysis language: - iso: eng main_file_link: - url: www.insticc.org/Primoris/Resources/PaperPdf.ashx?idPaper=77454 page: 147-155 place: Setúbal, Portugal publication: Proceedings of the 4th International Conference on Internet of Things, Big Data and Security publication_identifier: isbn: - 978-989-758-369-8 unknown: - 2184-4976 publication_status: published publisher: SCITEPRESS quality_controlled: '1' status: public title: 'In Reviews We Trust: But Should We? Experiences with Physician Review Websites' type: conference user_id: '58701' year: '2019' ... --- _id: '4349' abstract: - lang: eng text: Physician Review Websites allow users to evaluate their experiences with health services. As these evaluations are regularly contextualized with facts from users’ private lives, they often accidentally disclose personal information on the Web. This poses a serious threat to users’ privacy. In this paper, we report on early work in progress on “Text Broom”, a tool to detect privacy breaches in user-generated texts. For this purpose, we conceptualize a pipeline which combines methods of Natural Language Processing such as Named Entity Recognition, linguistic patterns and domain-specific Machine Learning approaches which have the potential to recognize privacy violations with wide coverage. A prototypical web application is openly accesible. article_number: '97' author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Matthias full_name: Orlikowski, Matthias id: '72334' last_name: Orlikowski - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Kersting J, Orlikowski M, Geierhos M. Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In: Khalili A, Koutraki M, eds. Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018). Vol 2198. CEUR Workshop Proceedings. CEUR-WS.org; 2018.' apa: 'Bäumer, F. S., Kersting, J., Orlikowski, M., & Geierhos, M. (2018). Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In A. Khalili & M. Koutraki (Eds.), Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018) (Vol. 2198). Vienna, Austria: CEUR-WS.org.' bibtex: '@inproceedings{Bäumer_Kersting_Orlikowski_Geierhos_2018, series={CEUR Workshop Proceedings}, title={Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews}, volume={2198}, number={97}, booktitle={Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018)}, publisher={CEUR-WS.org}, author={Bäumer, Frederik Simon and Kersting, Joschka and Orlikowski, Matthias and Geierhos, Michaela}, editor={Khalili, Ali and Koutraki, MariaEditors}, year={2018}, collection={CEUR Workshop Proceedings} }' chicago: Bäumer, Frederik Simon, Joschka Kersting, Matthias Orlikowski, and Michaela Geierhos. “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews.” In Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), edited by Ali Khalili and Maria Koutraki, Vol. 2198. CEUR Workshop Proceedings. CEUR-WS.org, 2018. ieee: F. S. Bäumer, J. Kersting, M. Orlikowski, and M. Geierhos, “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews,” in Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), Vienna, Austria, 2018, vol. 2198. mla: Bäumer, Frederik Simon, et al. “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews.” Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), edited by Ali Khalili and Maria Koutraki, vol. 2198, 97, CEUR-WS.org, 2018. short: 'F.S. Bäumer, J. Kersting, M. Orlikowski, M. Geierhos, in: A. Khalili, M. Koutraki (Eds.), Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), CEUR-WS.org, 2018.' conference: end_date: 2018-09-13 location: Vienna, Austria name: 14th International Conference on Semantic Systems (SEMANTiCS 2018) start_date: 2018-09-10 date_created: 2018-09-03T12:04:24Z date_updated: 2022-01-06T07:00:57Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' editor: - first_name: Ali full_name: Khalili, Ali last_name: Khalili - first_name: Maria full_name: Koutraki, Maria last_name: Koutraki file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:34:30Z date_updated: 2020-09-18T09:34:30Z file_id: '19579' file_name: Bäumer et al. (2018), Baeumer2018c.pdf file_size: 434664 relation: main_file success: 1 file_date_updated: 2020-09-18T09:34:30Z has_accepted_license: '1' intvolume: ' 2198' keyword: - Detection of Privacy Violations - Physician Reviews language: - iso: eng main_file_link: - open_access: '1' url: http://ceur-ws.org/Vol-2198/paper_97.pdf oa: '1' publication: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018) publication_identifier: issn: - 1613-0073 publication_status: published publisher: CEUR-WS.org series_title: CEUR Workshop Proceedings status: public title: Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews type: conference user_id: '58701' volume: 2198 year: '2018' ... --- _id: '1161' abstract: - lang: eng text: Consulting a physician was long regarded as an intimate and private matter. The physician-patient relationship was perceived as sensitive and trustful. Nowadays, there is a change, as medical procedures and physicians consultations are reviewed like other services on the Internet. To allay user’s privacy doubts, physician review websites assure anonymity and the protection of private data. However, there are hundreds of reviews that reveal private information and hence enable physicians or the public to identify patients. Thus, we draw attention to the cases when de-anonymization is possible. We therefore introduce an approach that highlights private information in physician reviews for users to avoid an accidental disclosure. For this reason, we combine established natural-language-processing techniques such as named entity recognition as well as handcrafted patterns to achieve a high detection accuracy. That way, we can help websites to increase privacy protection by recognizing and uncovering apparently uncritical information in user-generated texts. author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Nicolai full_name: Grote, Nicolai last_name: Grote - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Grote N, Kersting J, Geierhos M. Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In: Damaševičius R, Mikašytė V, eds. Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings. Vol 756. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2017:77-89. doi:10.1007/978-3-319-67642-5_7' apa: 'Bäumer, F. S., Grote, N., Kersting, J., & Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damaševičius & V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 77–89). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-67642-5_7' bibtex: '@inbook{Bäumer_Grote_Kersting_Geierhos_2017, place={Cham, Switzerland}, series={Communications in Computer and Information Science}, title={Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews}, volume={756}, DOI={10.1007/978-3-319-67642-5_7}, booktitle={Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}, publisher={Springer}, author={Bäumer, Frederik Simon and Grote, Nicolai and Kersting, Joschka and Geierhos, Michaela}, editor={Damaševičius, Robertas and Mikašytė, VíctorEditors}, year={2017}, pages={77–89}, collection={Communications in Computer and Information Science} }' chicago: 'Bäumer, Frederik Simon, Nicolai Grote, Joschka Kersting, and Michaela Geierhos. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.” In Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damaševičius and Víctor Mikašytė, 756:77–89. Communications in Computer and Information Science. Cham, Switzerland: Springer, 2017. https://doi.org/10.1007/978-3-319-67642-5_7.' ieee: 'F. S. Bäumer, N. Grote, J. Kersting, and M. Geierhos, “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews,” in Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, vol. 756, R. Damaševičius and V. Mikašytė, Eds. Cham, Switzerland: Springer, 2017, pp. 77–89.' mla: 'Bäumer, Frederik Simon, et al. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.” Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damaševičius and Víctor Mikašytė, vol. 756, Springer, 2017, pp. 77–89, doi:10.1007/978-3-319-67642-5_7.' short: 'F.S. Bäumer, N. Grote, J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 77–89.' conference: end_date: 2017-10-14 location: Druskininkai, Lithuania name: 23rd International Conference on Information and Software Technologies (ICIST 2017) start_date: 2017-10-12 date_created: 2018-02-01T09:17:36Z date_updated: 2022-01-06T06:51:04Z ddc: - '000' department: - _id: '36' - _id: '1' - _id: '579' doi: 10.1007/978-3-319-67642-5_7 editor: - first_name: Robertas full_name: Damaševičius, Robertas last_name: Damaševičius - first_name: Víctor full_name: Mikašytė, Víctor last_name: Mikašytė file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:21:45Z date_updated: 2020-09-18T09:21:45Z file_id: '19570' file_name: Bäumer et al. (2017), Bäumer2017_Original.pdf file_size: 770358 relation: main_file success: 1 file_date_updated: 2020-09-18T09:21:45Z has_accepted_license: '1' intvolume: ' 756' keyword: - Physician Reviews - User Privacy - Nocuous Data Exposure language: - iso: eng page: 77-89 place: Cham, Switzerland publication: 'Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings' publication_identifier: eisbn: - 978-3-319-67642-5 isbn: - 978-3-319-67641-8 publication_status: published publisher: Springer quality_controlled: '1' series_title: Communications in Computer and Information Science status: public title: 'Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews' type: book_chapter user_id: '58701' volume: 756 year: '2017' ... --- _id: '4691' abstract: - lang: eng text: Analysts have estimated that more than 80 percent of today’s data is stored in unstructured form (e.g., text, audio, image, video)—much of it expressed in rich and ambiguous natural language. Traditionally, to analyze natural language, one has used qualitative data-analysis approaches, such as manual coding. Yet, the size of text data sets obtained from the Internet makes manual analysis virtually impossible. In this tutorial, we discuss the challenges encountered when applying automated text-mining techniques in information systems research. In particular, we showcase how to use probabilistic topic modeling via Latent Dirichlet allocation, an unsupervised text-mining technique, with a LASSO multinomial logistic regression to explain user satisfaction with an IT artifact by automatically analyzing more than 12,000 online customer reviews. For fellow information systems researchers, this tutorial provides guidance for conducting text-mining studies on their own and for evaluating the quality of others. author: - first_name: Stefan full_name: Debortoli, Stefan last_name: Debortoli - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller - first_name: Iris full_name: Junglas, Iris last_name: Junglas - first_name: Jan full_name: vom Brocke, Jan last_name: vom Brocke citation: ama: 'Debortoli S, Müller O, Junglas I, vom Brocke J. Text Mining for Information Systems Researchers: An Annotated Tutorial. Communications of the Association for Information Systems. Published online 2016:555-582. doi:10.17705/1CAIS.03907' apa: 'Debortoli, S., Müller, O., Junglas, I., & vom Brocke, J. (2016). Text Mining for Information Systems Researchers: An Annotated Tutorial. Communications of the Association for Information Systems, 555–582. https://doi.org/10.17705/1CAIS.03907' bibtex: '@article{Debortoli_Müller_Junglas_vom Brocke_2016, title={Text Mining for Information Systems Researchers: An Annotated Tutorial}, DOI={10.17705/1CAIS.03907}, journal={Communications of the Association for Information Systems}, author={Debortoli, Stefan and Müller, Oliver and Junglas, Iris and vom Brocke, Jan}, year={2016}, pages={555–582} }' chicago: 'Debortoli, Stefan, Oliver Müller, Iris Junglas, and Jan vom Brocke. “Text Mining for Information Systems Researchers: An Annotated Tutorial.” Communications of the Association for Information Systems, 2016, 555–82. https://doi.org/10.17705/1CAIS.03907.' ieee: 'S. Debortoli, O. Müller, I. Junglas, and J. vom Brocke, “Text Mining for Information Systems Researchers: An Annotated Tutorial,” Communications of the Association for Information Systems, pp. 555–582, 2016, doi: 10.17705/1CAIS.03907.' mla: 'Debortoli, Stefan, et al. “Text Mining for Information Systems Researchers: An Annotated Tutorial.” Communications of the Association for Information Systems, 2016, pp. 555–82, doi:10.17705/1CAIS.03907.' short: S. Debortoli, O. Müller, I. Junglas, J. vom Brocke, Communications of the Association for Information Systems (2016) 555–582. date_created: 2018-10-12T08:30:04Z date_updated: 2026-03-10T09:44:54Z department: - _id: '196' doi: 10.17705/1CAIS.03907 extern: '1' keyword: - Latent dirichlet allocation - Online customer reviews - Text mining - Topic modeling - User satisfaction language: - iso: eng page: 555-582 publication: Communications of the Association for Information Systems publication_identifier: isbn: - '9781615679119' issn: - 1529-3181 status: public title: 'Text Mining for Information Systems Researchers: An Annotated Tutorial' type: journal_article user_id: '14972' year: '2016' ... --- _id: '1149' abstract: - lang: eng text: 'The contacts a health care provider (HCP), like a physician, has to other HCPs is perceived as a quality characteristic by patients. So far, only the German physician rating website jameda.de gives information about the interconnectedness of HCPs in business networks. However, this network has to be maintained manually and is thus incomplete. We therefore developed a system for uncovering latent connectivity of HCPs in online reviews to provide users with more valuable information about their HCPs. The overall goal of this approach is to extend already existing business networks of HCPs by integrating connections that are newly discovered by our system. Our most recent evaluation results are promising: 70.8 % of the connections extracted from the reviews texts were correctly identified and in total 3,788 relations were recognized that have not been displayed in jameda.de’s network before.' author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 - first_name: Sabine full_name: Schulze, Sabine last_name: Schulze citation: ama: 'Bäumer FS, Geierhos M, Schulze S. A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. In: Dregvaite G, Damasevicius R, eds. Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings. Vol 538. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2015:3-15. doi:10.1007/978-3-319-24770-0_1' apa: 'Bäumer, F. S., Geierhos, M., & Schulze, S. (2015). A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews. In G. Dregvaite & R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings (Vol. 538, pp. 3–15). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-24770-0_1' bibtex: '@inbook{Bäumer_Geierhos_Schulze_2015, place={Cham, Switzerland}, series={Communications in Computer and Information Science}, title={A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews}, volume={538}, DOI={10.1007/978-3-319-24770-0_1}, booktitle={Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings}, publisher={Springer}, author={Bäumer, Frederik Simon and Geierhos, Michaela and Schulze, Sabine}, editor={Dregvaite, Giedre and Damasevicius, RobertasEditors}, year={2015}, pages={3–15}, collection={Communications in Computer and Information Science} }' chicago: 'Bäumer, Frederik Simon, Michaela Geierhos, and Sabine Schulze. “A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews.” In Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings, edited by Giedre Dregvaite and Robertas Damasevicius, 538:3–15. Communications in Computer and Information Science. Cham, Switzerland: Springer, 2015. https://doi.org/10.1007/978-3-319-24770-0_1.' ieee: 'F. S. Bäumer, M. Geierhos, and S. Schulze, “A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews,” in Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings, vol. 538, G. Dregvaite and R. Damasevicius, Eds. Cham, Switzerland: Springer, 2015, pp. 3–15.' mla: Bäumer, Frederik Simon, et al. “A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews.” Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings, edited by Giedre Dregvaite and Robertas Damasevicius, vol. 538, Springer, 2015, pp. 3–15, doi:10.1007/978-3-319-24770-0_1. short: 'F.S. Bäumer, M. Geierhos, S. Schulze, in: G. Dregvaite, R. Damasevicius (Eds.), Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings, Springer, Cham, Switzerland, 2015, pp. 3–15.' conference: end_date: 2015-10-16 location: Druskininkai, Lithuania name: 21th International Conference on Information and Software Technologies (ICIST 2015) start_date: 2015-10-15 date_created: 2018-01-31T12:00:39Z date_updated: 2022-01-06T06:51:01Z department: - _id: '36' - _id: '1' - _id: '579' doi: 10.1007/978-3-319-24770-0_1 editor: - first_name: Giedre full_name: Dregvaite, Giedre last_name: Dregvaite - first_name: Robertas full_name: Damasevicius, Robertas last_name: Damasevicius intvolume: ' 538' keyword: - Latent Connectivity - Person Named Entity Recognition and Disambiguation - Health Care Provider Reviews language: - iso: eng page: 3-15 place: Cham, Switzerland publication: Information and Software Technologies. 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015. Proceedings publication_identifier: eisbn: - 978-3-319-24770-0 isbn: - 978-3-319-24769-4 publication_status: published publisher: Springer quality_controlled: '1' series_title: Communications in Computer and Information Science status: public title: A System for Uncovering Latent Connectivity of Health Care Providers in Online Reviews type: book_chapter user_id: '42496' volume: 538 year: '2015' ... --- _id: '8926' abstract: - lang: eng text: Piezoelectric transformers are well known since the publication of some patent applications at the end of the 1950s. But until today their only business use lies in the field of backlighting systems for LCDs. Due to key features as light-weight, flatness, high step-up at low volume and high efficiency piezoelectric transformers should be usable in a much broader range of applications. This contribution returns to mind their operating principle, shows how to model and to develop such devices as well as give some aspects for development trends that will lead to further applications. author: - first_name: Tobias full_name: Hemsel, Tobias id: '210' last_name: Hemsel - first_name: Walter full_name: Littmann, Walter last_name: Littmann - first_name: Jörg full_name: Wallaschek, Jörg last_name: Wallaschek citation: ama: 'Hemsel T, Littmann W, Wallaschek J. Piezoelectric transformers - state of the art and development trends. In: Ultrasonics Symposium, 2002. Proceedings. 2002 IEEE. Vol 1. ; 2002:645-648. doi:10.1109/ULTSYM.2002.1193485' apa: Hemsel, T., Littmann, W., & Wallaschek, J. (2002). Piezoelectric transformers - state of the art and development trends. In Ultrasonics Symposium, 2002. Proceedings. 2002 IEEE (Vol. 1, pp. 645–648). https://doi.org/10.1109/ULTSYM.2002.1193485 bibtex: '@inproceedings{Hemsel_Littmann_Wallaschek_2002, title={Piezoelectric transformers - state of the art and development trends}, volume={1}, DOI={10.1109/ULTSYM.2002.1193485}, number={vol.1}, booktitle={Ultrasonics Symposium, 2002. Proceedings. 2002 IEEE}, author={Hemsel, Tobias and Littmann, Walter and Wallaschek, Jörg}, year={2002}, pages={645–648} }' chicago: Hemsel, Tobias, Walter Littmann, and Jörg Wallaschek. “Piezoelectric Transformers - State of the Art and Development Trends.” In Ultrasonics Symposium, 2002. Proceedings. 2002 IEEE, 1:645–48, 2002. https://doi.org/10.1109/ULTSYM.2002.1193485. ieee: T. Hemsel, W. Littmann, and J. Wallaschek, “Piezoelectric transformers - state of the art and development trends,” in Ultrasonics Symposium, 2002. Proceedings. 2002 IEEE, 2002, vol. 1, no. vol.1, pp. 645–648. mla: Hemsel, Tobias, et al. “Piezoelectric Transformers - State of the Art and Development Trends.” Ultrasonics Symposium, 2002. Proceedings. 2002 IEEE, vol. 1, no. vol.1, 2002, pp. 645–48, doi:10.1109/ULTSYM.2002.1193485. short: 'T. Hemsel, W. Littmann, J. Wallaschek, in: Ultrasonics Symposium, 2002. Proceedings. 2002 IEEE, 2002, pp. 645–648.' date_created: 2019-04-15T10:18:15Z date_updated: 2022-01-06T07:04:05Z department: - _id: '151' doi: 10.1109/ULTSYM.2002.1193485 intvolume: ' 1' issue: vol.1 keyword: - piezoelectric devices - reviews - transformers - backlighting systems - flatness - high efficiency piezoelectric transformers - high step-up - light-weight - low volume - operating principle - piezoelectric transformers - Circuits - Costs - Electromagnetic devices - Electromagnetic fields - Mechanical energy - Piezoelectric materials - Power electronics - Switching frequency - Transformers - Vibrations language: - iso: eng page: 645-648 publication: Ultrasonics Symposium, 2002. Proceedings. 2002 IEEE publication_identifier: issn: - 1051-0117 status: public title: Piezoelectric transformers - state of the art and development trends type: conference user_id: '55222' volume: 1 year: '2002' ...