[{"date_created":"2024-04-30T12:30:56Z","publisher":"Elsevier","title":"Towards comparable ratings: Exploring bias in German physician reviews","year":"2023","language":[{"iso":"eng"}],"ddc":["004"],"keyword":["Language model fairness","Aspect phrase classification","Grade prediction","Physician reviews"],"publication":"Data & Knowledge Engineering","file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2024-04-30T12:34:35Z","date_created":"2024-04-30T12:34:35Z","creator":"jkers","file_size":1381398,"file_id":"53802","file_name":"Kersting 2023.pdf","access_level":"closed"}],"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. "}],"author":[{"last_name":"Kersting","full_name":"Kersting, Joschka","id":"58701","first_name":"Joschka"},{"last_name":"Maoro","full_name":"Maoro, Falk","first_name":"Falk"},{"first_name":"Michaela","full_name":"Geierhos, Michaela","last_name":"Geierhos"}],"volume":148,"oa":"1","date_updated":"2024-04-30T12:41:14Z","main_file_link":[{"url":" https://doi.org/10.1016/j.datak.2023.102235 ","open_access":"1"}],"doi":"10.1016/j.datak.2023.102235","publication_status":"published","publication_identifier":{"issn":["0169-023X"]},"has_accepted_license":"1","citation":{"mla":"Kersting, Joschka, et al. “Towards Comparable Ratings: Exploring Bias in German Physician Reviews.” <i>Data &#38; Knowledge Engineering</i>, vol. 148, 102235, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.datak.2023.102235\">10.1016/j.datak.2023.102235</a>.","short":"J. Kersting, F. Maoro, M. Geierhos, Data &#38; Knowledge Engineering 148 (2023).","bibtex":"@article{Kersting_Maoro_Geierhos_2023, title={Towards comparable ratings: Exploring bias in German physician reviews}, volume={148}, DOI={<a href=\"https://doi.org/10.1016/j.datak.2023.102235\">10.1016/j.datak.2023.102235</a>}, number={102235}, journal={Data &#38; Knowledge Engineering}, publisher={Elsevier}, author={Kersting, Joschka and Maoro, Falk and Geierhos, Michaela}, year={2023} }","apa":"Kersting, J., Maoro, F., &#38; Geierhos, M. (2023). Towards comparable ratings: Exploring bias in German physician reviews. <i>Data &#38; Knowledge Engineering</i>, <i>148</i>, Article 102235. <a href=\"https://doi.org/10.1016/j.datak.2023.102235\">https://doi.org/10.1016/j.datak.2023.102235</a>","ama":"Kersting J, Maoro F, Geierhos M. Towards comparable ratings: Exploring bias in German physician reviews. <i>Data &#38; Knowledge Engineering</i>. 2023;148. doi:<a href=\"https://doi.org/10.1016/j.datak.2023.102235\">10.1016/j.datak.2023.102235</a>","chicago":"Kersting, Joschka, Falk Maoro, and Michaela Geierhos. “Towards Comparable Ratings: Exploring Bias in German Physician Reviews.” <i>Data &#38; Knowledge Engineering</i> 148 (2023). <a href=\"https://doi.org/10.1016/j.datak.2023.102235\">https://doi.org/10.1016/j.datak.2023.102235</a>.","ieee":"J. Kersting, F. Maoro, and M. Geierhos, “Towards comparable ratings: Exploring bias in German physician reviews,” <i>Data &#38; Knowledge Engineering</i>, vol. 148, Art. no. 102235, 2023, doi: <a href=\"https://doi.org/10.1016/j.datak.2023.102235\">10.1016/j.datak.2023.102235</a>."},"intvolume":"       148","user_id":"58701","department":[{"_id":"579"}],"project":[{"grant_number":"160364472","name":"SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten ","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"grant_number":"160364472","name":"SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1)","_id":"9"}],"_id":"53801","file_date_updated":"2024-04-30T12:34:35Z","funded_apc":"1","article_type":"original","article_number":"102235","type":"journal_article","status":"public"},{"place":"Setúbal, Portugal","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. <i>Proceedings of the 4th International Conference on Internet of Things, Big Data and Security</i>. Setúbal, Portugal: SCITEPRESS; 2019:147-155.","chicago":"Kersting, Joschka, Frederik Simon Bäumer, and Michaela Geierhos. “In Reviews We Trust: But Should We? Experiences with Physician Review Websites.” In <i>Proceedings of the 4th International Conference on Internet of Things, Big Data and Security</i>, 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 <i>Proceedings of the 4th International Conference on Internet of Things, Big Data and Security</i>, Heraklion, Greece, 2019, pp. 147–155.","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.","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} }","mla":"Kersting, Joschka, et al. “In Reviews We Trust: But Should We? Experiences with Physician Review Websites.” <i>Proceedings of the 4th International Conference on Internet of Things, Big Data and Security</i>, edited by Muthu Ramachandran et al., SCITEPRESS, 2019, pp. 147–55.","apa":"Kersting, J., Bäumer, F. S., &#38; 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, &#38; V. Chang (Eds.), <i>Proceedings of the 4th International Conference on Internet of Things, Big Data and Security</i> (pp. 147–155). Setúbal, Portugal: SCITEPRESS."},"page":"147-155","publication_status":"published","has_accepted_license":"1","publication_identifier":{"unknown":["2184-4976"],"isbn":["978-989-758-369-8"]},"main_file_link":[{"url":"www.insticc.org/Primoris/Resources/PaperPdf.ashx?idPaper=77454"}],"conference":{"name":"4th International Conference on Internet of Things, Big Data and Security (IoTBDS 2019)","start_date":"2019-05-02","end_date":"2019-05-04","location":"Heraklion, Greece"},"date_updated":"2022-01-06T07:04:17Z","author":[{"last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka","first_name":"Joschka"},{"full_name":"Bäumer, Frederik Simon","id":"38837","last_name":"Bäumer","first_name":"Frederik Simon"},{"orcid":"0000-0002-8180-5606","last_name":"Geierhos","id":"42496","full_name":"Geierhos, Michaela","first_name":"Michaela"}],"editor":[{"first_name":"Muthu","full_name":"Ramachandran, Muthu","last_name":"Ramachandran"},{"first_name":"Robert","full_name":"Walters, Robert","last_name":"Walters"},{"first_name":"Gary","last_name":"Wills","full_name":"Wills, Gary"},{"first_name":"Víctor","full_name":"Méndez Muñoz, Víctor","last_name":"Méndez Muñoz"},{"first_name":"Victor","last_name":"Chang","full_name":"Chang, Victor"}],"status":"public","type":"conference","file_date_updated":"2020-09-18T09:24:41Z","_id":"9613","user_id":"58701","department":[{"_id":"1"},{"_id":"579"}],"year":"2019","quality_controlled":"1","title":"In Reviews We Trust: But Should We? Experiences with Physician Review Websites","publisher":"SCITEPRESS","date_created":"2019-05-06T09:00:48Z","abstract":[{"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.","lang":"eng"}],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_id":"19573","file_name":"Kersting et al. (2019), Kersting2019.pdf","access_level":"closed","file_size":1112502,"date_created":"2020-09-18T09:24:41Z","creator":"jkers","date_updated":"2020-09-18T09:24:41Z"}],"publication":"Proceedings of the 4th International Conference on Internet of Things, Big Data and Security","ddc":["000"],"keyword":["Trust","Physician Reviews","Network Analysis"],"language":[{"iso":"eng"}]},{"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)","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."}],"file":[{"date_updated":"2020-09-18T09:34:30Z","date_created":"2020-09-18T09:34:30Z","creator":"jkers","file_size":434664,"file_name":"Bäumer et al. (2018), Baeumer2018c.pdf","access_level":"closed","file_id":"19579","content_type":"application/pdf","success":1,"relation":"main_file"}],"ddc":["000"],"keyword":["Detection of Privacy Violations","Physician Reviews"],"language":[{"iso":"eng"}],"year":"2018","publisher":"CEUR-WS.org","date_created":"2018-09-03T12:04:24Z","title":"Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews","type":"conference","editor":[{"first_name":"Ali","last_name":"Khalili","full_name":"Khalili, Ali"},{"first_name":"Maria","last_name":"Koutraki","full_name":"Koutraki, Maria"}],"status":"public","_id":"4349","series_title":"CEUR Workshop Proceedings","user_id":"58701","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"article_number":"97","file_date_updated":"2020-09-18T09:34:30Z","publication_status":"published","publication_identifier":{"issn":["1613-0073"]},"has_accepted_license":"1","citation":{"chicago":"Bäumer, Frederik Simon, Joschka Kersting, Matthias Orlikowski, and Michaela Geierhos. “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews.” In <i>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)</i>, 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 <i>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)</i>, Vienna, Austria, 2018, vol. 2198.","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. <i>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)</i>. Vol 2198. CEUR Workshop Proceedings. CEUR-WS.org; 2018.","apa":"Bäumer, F. S., Kersting, J., Orlikowski, M., &#38; Geierhos, M. (2018). Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In A. Khalili &#38; M. Koutraki (Eds.), <i>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)</i> (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} }","mla":"Bäumer, Frederik Simon, et al. “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews.” <i>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)</i>, 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."},"intvolume":"      2198","date_updated":"2022-01-06T07:00:57Z","oa":"1","author":[{"first_name":"Frederik Simon","id":"38837","full_name":"Bäumer, Frederik Simon","last_name":"Bäumer"},{"first_name":"Joschka","last_name":"Kersting","full_name":"Kersting, Joschka","id":"58701"},{"first_name":"Matthias","last_name":"Orlikowski","full_name":"Orlikowski, Matthias","id":"72334"},{"orcid":"0000-0002-8180-5606","last_name":"Geierhos","id":"42496","full_name":"Geierhos, Michaela","first_name":"Michaela"}],"volume":2198,"main_file_link":[{"url":"http://ceur-ws.org/Vol-2198/paper_97.pdf","open_access":"1"}],"conference":{"start_date":"2018-09-10","name":"14th International Conference on Semantic Systems (SEMANTiCS 2018)","location":"Vienna, Austria","end_date":"2018-09-13"}},{"date_created":"2018-02-01T09:17:36Z","publisher":"Springer","title":"Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews","quality_controlled":"1","year":"2017","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Physician Reviews","User Privacy","Nocuous Data Exposure"],"publication":"Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings","file":[{"content_type":"application/pdf","relation":"main_file","success":1,"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","access_level":"closed","file_size":770358}],"abstract":[{"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.","lang":"eng"}],"author":[{"last_name":"Bäumer","id":"38837","full_name":"Bäumer, Frederik Simon","first_name":"Frederik Simon"},{"first_name":"Nicolai","full_name":"Grote, Nicolai","last_name":"Grote"},{"first_name":"Joschka","last_name":"Kersting","id":"58701","full_name":"Kersting, Joschka"},{"first_name":"Michaela","id":"42496","full_name":"Geierhos, Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606"}],"volume":756,"date_updated":"2022-01-06T06:51:04Z","doi":"10.1007/978-3-319-67642-5_7","conference":{"start_date":"2017-10-12","name":"23rd International Conference on Information and Software Technologies (ICIST 2017)","location":"Druskininkai, Lithuania","end_date":"2017-10-14"},"publication_status":"published","has_accepted_license":"1","publication_identifier":{"isbn":["978-3-319-67641-8"],"eisbn":["978-3-319-67642-5"]},"citation":{"mla":"Bäumer, Frederik Simon, et al. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.” <i>Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings</i>, edited by Robertas Damaševičius and Víctor Mikašytė, vol. 756, Springer, 2017, pp. 77–89, doi:<a href=\"https://doi.org/10.1007/978-3-319-67642-5_7\">10.1007/978-3-319-67642-5_7</a>.","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={<a href=\"https://doi.org/10.1007/978-3-319-67642-5_7\">10.1007/978-3-319-67642-5_7</a>}, 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} }","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.","apa":"Bäumer, F. S., Grote, N., Kersting, J., &#38; Geierhos, M. (2017). Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews. In R. Damaševičius &#38; V. Mikašytė (Eds.), <i>Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings</i> (Vol. 756, pp. 77–89). Cham, Switzerland: Springer. <a href=\"https://doi.org/10.1007/978-3-319-67642-5_7\">https://doi.org/10.1007/978-3-319-67642-5_7</a>","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. <i>Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings</i>. Vol 756. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2017:77-89. doi:<a href=\"https://doi.org/10.1007/978-3-319-67642-5_7\">10.1007/978-3-319-67642-5_7</a>","ieee":"F. S. Bäumer, N. Grote, J. Kersting, and M. Geierhos, “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews,” in <i>Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings</i>, vol. 756, R. Damaševičius and V. Mikašytė, Eds. Cham, Switzerland: Springer, 2017, pp. 77–89.","chicago":"Bäumer, Frederik Simon, Nicolai Grote, Joschka Kersting, and Michaela Geierhos. “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews.” In <i>Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings</i>, edited by Robertas Damaševičius and Víctor Mikašytė, 756:77–89. Communications in Computer and Information Science. Cham, Switzerland: Springer, 2017. <a href=\"https://doi.org/10.1007/978-3-319-67642-5_7\">https://doi.org/10.1007/978-3-319-67642-5_7</a>."},"intvolume":"       756","page":"77-89","place":"Cham, Switzerland","series_title":"Communications in Computer and Information Science","user_id":"58701","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"_id":"1161","file_date_updated":"2020-09-18T09:21:45Z","type":"book_chapter","status":"public","editor":[{"last_name":"Damaševičius","full_name":"Damaševičius, Robertas","first_name":"Robertas"},{"first_name":"Víctor","last_name":"Mikašytė","full_name":"Mikašytė, Víctor"}]}]