[{"doi":"10.1007/s12599-019-00627-x","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2022-12-02T09:27:17Z","intvolume":"        62","title":"A Case for a New IT Ecosystem: On-The-Fly Computing","year":"2020","author":[{"full_name":"Karl, Holger","first_name":"Holger","last_name":"Karl","id":"126"},{"last_name":"Kundisch","first_name":"Dennis","full_name":"Kundisch, Dennis","id":"21117"},{"full_name":"Meyer auf der Heide, Friedhelm","last_name":"Meyer auf der Heide","first_name":"Friedhelm","id":"15523"},{"full_name":"Wehrheim, Heike","first_name":"Heike","last_name":"Wehrheim","id":"573"}],"type":"journal_article","department":[{"_id":"276"},{"_id":"75"},{"_id":"63"},{"_id":"77"}],"file":[{"file_id":"15311","content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2019-12-12T10:24:47Z","file_name":"Karl2019_Article_ACaseForANewITEcosystemOn-The-.pdf","access_level":"closed","file_size":454532,"date_created":"2019-12-12T10:24:47Z","creator":"ups"}],"date_created":"2019-10-10T13:41:06Z","publication":"Business & Information Systems Engineering","issue":"6","user_id":"477","ddc":["004"],"volume":62,"page":"467-481","_id":"13770","publisher":"Springer","has_accepted_license":"1","status":"public","project":[{"name":"SFB 901","_id":"1"},{"_id":"2","name":"SFB 901 - Project Area A"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"82","name":"SFB 901 - Project Area T"},{"_id":"5","name":"SFB 901 - Subproject A1"},{"name":"SFB 901 - Subproject A2","_id":"6"},{"_id":"7","name":"SFB 901 - Subproject A3"},{"_id":"8","name":"SFB 901 - Subproject A4"},{"name":"SFB 901 - Subproject B1","_id":"9"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"11","name":"SFB 901 - Subproject B3"},{"_id":"12","name":"SFB 901 - Subproject B4"},{"name":"SFB 901 - Subproject C1","_id":"13"},{"name":"SFB 901 - Subproject C2","_id":"14"},{"_id":"15","name":"SFB 901 - Subproject C3"},{"_id":"16","name":"SFB 901 - Subproject C4"},{"_id":"17","name":"SFB 901 - Subproject C5"},{"_id":"83","name":"SFB 901 -Subproject T1"},{"_id":"84","name":"SFB 901 -Subproject T2"},{"name":"SFB 901 -Subproject T3","_id":"107"},{"name":"SFB 901 - T4: SFB 901 -Subproject T4","_id":"158"}],"file_date_updated":"2019-12-12T10:24:47Z","citation":{"chicago":"Karl, Holger, Dennis Kundisch, Friedhelm Meyer auf der Heide, and Heike Wehrheim. “A Case for a New IT Ecosystem: On-The-Fly Computing.” <i>Business &#38; Information Systems Engineering</i> 62, no. 6 (2020): 467–81. <a href=\"https://doi.org/10.1007/s12599-019-00627-x\">https://doi.org/10.1007/s12599-019-00627-x</a>.","short":"H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business &#38; Information Systems Engineering 62 (2020) 467–481.","apa":"Karl, H., Kundisch, D., Meyer auf der Heide, F., &#38; Wehrheim, H. (2020). A Case for a New IT Ecosystem: On-The-Fly Computing. <i>Business &#38; Information Systems Engineering</i>, <i>62</i>(6), 467–481. <a href=\"https://doi.org/10.1007/s12599-019-00627-x\">https://doi.org/10.1007/s12599-019-00627-x</a>","ieee":"H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for a New IT Ecosystem: On-The-Fly Computing,” <i>Business &#38; Information Systems Engineering</i>, vol. 62, no. 6, pp. 467–481, 2020, doi: <a href=\"https://doi.org/10.1007/s12599-019-00627-x\">10.1007/s12599-019-00627-x</a>.","ama":"Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H. A Case for a New IT Ecosystem: On-The-Fly Computing. <i>Business &#38; Information Systems Engineering</i>. 2020;62(6):467-481. doi:<a href=\"https://doi.org/10.1007/s12599-019-00627-x\">10.1007/s12599-019-00627-x</a>","bibtex":"@article{Karl_Kundisch_Meyer auf der Heide_Wehrheim_2020, title={A Case for a New IT Ecosystem: On-The-Fly Computing}, volume={62}, DOI={<a href=\"https://doi.org/10.1007/s12599-019-00627-x\">10.1007/s12599-019-00627-x</a>}, number={6}, journal={Business &#38; Information Systems Engineering}, publisher={Springer}, author={Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and Wehrheim, Heike}, year={2020}, pages={467–481} }","mla":"Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.” <i>Business &#38; Information Systems Engineering</i>, vol. 62, no. 6, Springer, 2020, pp. 467–81, doi:<a href=\"https://doi.org/10.1007/s12599-019-00627-x\">10.1007/s12599-019-00627-x</a>."}},{"_id":"29298","publisher":"wbv Media GmbH & Co. KG","page":"176-194","editor":[{"first_name":"Thomas","last_name":"Vollmer","full_name":"Vollmer, Thomas"},{"full_name":"Karges, Torben","last_name":"Karges","first_name":"Torben"},{"full_name":"Richter, Tim","last_name":"Richter","first_name":"Tim"},{"full_name":"Schlömer, Britta","last_name":"Schlömer","first_name":"Britta"},{"full_name":"Schütt-Sayed, Sören","last_name":"Schütt-Sayed","first_name":"Sören"}],"volume":55,"user_id":"32312","conference":{"end_date":"2019-03-13","location":"Siegen","name":"20. Hochschultage Berufliche Bildung (HTBB) \"Digitale Welt - Bildung und Arbeit in Transformationsgesellschaften\".","start_date":"2019-03-11"},"status":"public","place":"Bielefeld","oa":"1","citation":{"chicago":"Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II.” In <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i>, edited by Thomas Vollmer, Torben Karges, Tim Richter, Britta Schlömer, and Sören Schütt-Sayed, 55:176–94. Berufsbildung, Arbeit und Innovation. Bielefeld: wbv Media GmbH &#38; Co. KG, 2020. <a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>.","short":"S.A. Opel, M. Schlichtig, in: T. Vollmer, T. Karges, T. Richter, B. Schlömer, S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung, wbv Media GmbH &#38; Co. KG, Bielefeld, 2020, pp. 176–194.","ieee":"S. A. Opel and M. Schlichtig, “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II,” in <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i>, Siegen, 2020, vol. 55, pp. 176–194, doi: <a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>.","apa":"Opel, S. A., &#38; Schlichtig, M. (2020). Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In T. Vollmer, T. Karges, T. Richter, B. Schlömer, &#38; S. Schütt-Sayed (Eds.), <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i> (Vol. 55, pp. 176–194). wbv Media GmbH &#38; Co. KG. <a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>","bibtex":"@inproceedings{Opel_Schlichtig_2020, place={Bielefeld}, series={Berufsbildung, Arbeit und Innovation}, title={Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II}, volume={55}, DOI={<a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>}, booktitle={Sammelband der 27. Fachtagung der BAG Berufliche Bildung}, publisher={wbv Media GmbH &#38; Co. KG}, author={Opel, Simone Anna and Schlichtig, Michael}, editor={Vollmer, Thomas and Karges, Torben and Richter, Tim and Schlömer, Britta and Schütt-Sayed, Sören}, year={2020}, pages={176–194}, collection={Berufsbildung, Arbeit und Innovation} }","ama":"Opel SA, Schlichtig M. Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In: Vollmer T, Karges T, Richter T, Schlömer B, Schütt-Sayed S, eds. <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i>. Vol 55. Berufsbildung, Arbeit und Innovation. wbv Media GmbH &#38; Co. KG; 2020:176-194. doi:<a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>","mla":"Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II.” <i>Sammelband der 27. Fachtagung der BAG Berufliche Bildung</i>, edited by Thomas Vollmer et al., vol. 55, wbv Media GmbH &#38; Co. KG, 2020, pp. 176–94, doi:<a href=\"https://doi.org/10.3278/6004722w\">https://doi.org/10.3278/6004722w</a>."},"series_title":"Berufsbildung, Arbeit und Innovation","language":[{"iso":"ger"}],"main_file_link":[{"url":"https://library.oapen.org/handle/20.500.12657/43933","open_access":"1"}],"doi":"https://doi.org/10.3278/6004722w","author":[{"id":"72932","full_name":"Opel, Simone Anna","last_name":"Opel","first_name":"Simone Anna"},{"first_name":"Michael","last_name":"Schlichtig","full_name":"Schlichtig, Michael","id":"32312"}],"year":"2020","title":"Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II","intvolume":"        55","date_updated":"2022-01-12T17:04:10Z","publication_status":"published","date_created":"2022-01-12T16:43:38Z","department":[{"_id":"67"}],"keyword":["Berufsbildung","vocational education","Ausbildung","training","berufliche Weiterbildung","advanced vocational education","Digitalisierung","digitalization","Unterricht","teaching","Lehrmethode","teaching method","Interdisziplinarität","interdisciplinarity","Fachdidaktik","subject didactics","Curriculum","curriculum","gewerblich-technischer Beruf","vocational/technical occupation","Fachkraft","specialist","Qualifikationsanforderungen","qualification requirements","Kompetenz","competence","Lehrerbildung","teacher training","Bundesrepublik Deutschland","Federal Republic of Germany"],"type":"conference","publication":"Sammelband der 27. Fachtagung der BAG Berufliche Bildung","abstract":[{"text":"Die Themen „Big Data“, „Künstliche Intelligenz und „Data Science“ werden seit einiger Zeit nicht nur in der breiten Öffentlichkeit kontrovers diskutiert, sondern stellen für die Ausbildung in den IT- und IT-nahen Berufen schon heute neue Herausforderungen dar, die in Zukunft durch die gesellschaftliche und technologische Weiterentwicklung hin zu einer Datengesellschaft noch größer werden.\r\nAn dieser Stelle stellt sich die Frage, welche Aspekte dieses großen Themenkomplexes für Schule und Ausbildung von Wichtigkeit sind und wie diese Themen sinnstiftend und gewinnbringend in die informatische Ausbildung in verschiedenen Bildungsgängen integriert werden können. Im Rahmen des von uns im Jahr 2017 organisierten Symposiums zum Thema „Data Science“ wurden für die Bildung relevante Aspekte erörtert, wodurch als Kernelemente für den Unterricht Algorithmen der Künstlichen Intelligenz und ihre Anwendung in Industrie und Gesellschaft, Explorationen von Big Data sowie der Umgang mit eigenen Daten in sozialen Netzwerken herausgearbeitet wurden. Ziel ist, aus diesen Themenbereichen sowohl ein umfassendes Curriculum als auch Module für verschiedene Unterrichtsszenarien zu entwickeln und zu erproben. Durch diese Materialien soll es Lehrkräften aus der Informatik, Mathematik oder Technik ermöglicht werden, diese Themen auf Basis des Curriculums und der erprobten Unterrichtskonzepte selbst zu unterrichten.\r\nHierfür wurde im Rahmen des Projekts ProDaBi (Projekt Data Science und Big Data in der Schule, https://www.prodabi.de), initiiert von der Telekom Stiftung, ein experimenteller Projektkurs entwickelt, den wir mit Schüler:innen der Sekundarstufe II an der Universität Paderborn im Schuljahr 2018/19 durchführten. Dieser Kurs enthält neben einem Modul zur Exploration von Big Data und einem weiteren Modul zum Maschinellen Lernen als Teil der Künstlichen Intelligenz auch eine Projektphase, die es in Zusammenarbeit mit lokalen Unternehmen den Schüler:innen\r\nermöglicht, das Erlernte in ein reales Data Science-Projekt einzubringen. Aus den Erfahrungen dieses Projektkurses sowie den parallel durchgeführten Erprobungen einzelner Bausteine auch mit beruflichen Schulen werden ab dem Schuljahr 2019/20 die hierfür verwendeten Materialien weiterentwickelt und weiteren Kooperationspartnern zur Erprobung zur Verfügung gestellt. Damit wurden zum Ende des Projekts nicht nur vollständige Unterrichtsmaterialien, sondern auch ein umfassendes Curriculum entwickelt.","lang":"ger"},{"lang":"eng","text":"The topics ”Big Data”, “Artificial Intelligence” and “Data Science” are controversially discussed among the general public, but they present new challenges for training in IT and IT-related professions. These challenges will become more important in the future as a result of further social and technological development towards a data society.\r\nAt this point, the question arises as to which aspects of this large complex of topics are important for school and education, and how these topics can be integrated in a meaningful and profitable way into informatics education in vocational education. In 2017, we organized a symposium towards the topic “Data Science” and discussed relevant aspects for general and vocational education. Algorithms of artificial intelligence and their application in industry and society, explorations of Big Data as well as the handling of one's own data in social networks were worked out as core elements for teaching. For this reason, our aim is to develop a comprehensive curriculum on this topic from these subject areas and to develop and test modules for various teaching scenarios in order to enable teachers from computer science, mathematics or technology to teach these topics themselves.\r\nFor this purpose, an experimental project course was developed within the framework of the ProDaBi project (Project Data Science and Big Data at School, https://www.prodabi.de), which we conducted with students from upper secondary classes at the University of Paderborn in the school year 2018/19. In this course we try to address all these aspects. This course consists of several modules: One module has been designed to teach the exploration of Big Data. Another module encompasses aspects of machine learning as part of artificial intelligence. The course concludes in a project phase which, in cooperation with local companies, will enable the students to apply what they have learned into a real Data Science project. Based on the experiences of this project course and the parallel testing of individual modules with vocational schools, we will further develop the material and make it available to other cooperation partners for testing, so that not only complete teaching materials but also a comprehensive curriculum will have been developed until the end of the project."}]},{"publication":"Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science","citation":{"ama":"Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. In: <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>. ; 2020:149-154.","bibtex":"@inproceedings{Chen_Al-Khatib_Wachsmuth_Stein_2020, title={Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity}, booktitle={Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Wachsmuth, Henning and Stein, Benno}, year={2020}, pages={149–154} }","mla":"Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>, 2020, pp. 149–54.","short":"W.-F. Chen, K. Al-Khatib, H. Wachsmuth, B. Stein, in: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–154.","chicago":"Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” In <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>, 149–54, 2020.","apa":"Chen, W.-F., Al-Khatib, K., Wachsmuth, H., &#38; Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>, 149–154.","ieee":"W.-F. Chen, K. Al-Khatib, H. Wachsmuth, and B. Stein, “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity,” in <i>Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science</i>, 2020, pp. 149–154."},"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"date_created":"2018-08-02T11:40:56Z","type":"conference","department":[{"_id":"600"}],"year":"2020","status":"public","title":"Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity","author":[{"id":"82920","last_name":"Chen","first_name":"Wei-Fan","full_name":"Chen, Wei-Fan"},{"full_name":"Al-Khatib, Khalid","first_name":"Khalid","last_name":"Al-Khatib"},{"full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning","id":"3900"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"}],"date_updated":"2022-05-09T15:03:31Z","page":"149-154","main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.nlpcss-1.16.pdf"}],"language":[{"iso":"eng"}],"_id":"3776","user_id":"82920"},{"department":[{"_id":"600"}],"type":"conference","date_created":"2020-10-20T13:00:06Z","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"citation":{"short":"S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, M. Potthast, in: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–241.","chicago":"Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.” In <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>, 237–41, 2020.","ieee":"S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast, “Task Proposal: Abstractive Snippet Generation for Web Pages,” in <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>, 2020, pp. 237–241.","apa":"Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., &#38; Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>, 237–241.","bibtex":"@inproceedings{Syed_Chen_Hagen_Stein_Wachsmuth_Potthast_2020, title={Task Proposal: Abstractive Snippet Generation for Web Pages}, booktitle={Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)}, author={Syed, Shahbaz and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and Wachsmuth, Henning and Potthast, Martin}, year={2020}, pages={237–241} }","ama":"Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In: <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>. ; 2020:237-241.","mla":"Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web Pages.” <i>Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)</i>, 2020, pp. 237–41."},"publication":"Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)","user_id":"82920","language":[{"iso":"eng"}],"_id":"20137","page":"237-241","main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.inlg-1.30.pdf"}],"date_updated":"2022-05-09T15:03:11Z","author":[{"last_name":"Syed","first_name":"Shahbaz","full_name":"Syed, Shahbaz"},{"id":"82920","full_name":"Chen, Wei-Fan","last_name":"Chen","first_name":"Wei-Fan"},{"last_name":"Hagen","first_name":"Matthias","full_name":"Hagen, Matthias"},{"last_name":"Stein","first_name":"Benno","full_name":"Stein, Benno"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"},{"first_name":"Martin","last_name":"Potthast","full_name":"Potthast, Martin"}],"year":"2020","status":"public","title":"Task Proposal: Abstractive Snippet Generation for Web Pages"},{"department":[{"_id":"600"}],"type":"conference","date_created":"2018-08-02T13:38:46Z","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - B: SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"citation":{"ieee":"W.-F. Chen, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Detecting Media Bias in News Articles using Gaussian Bias Distributions,” in <i>Findings of the Association for Computational Linguistics: EMNLP 2020</i>, 2020, pp. 4290–4300.","mla":"Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” <i>Findings of the Association for Computational Linguistics: EMNLP 2020</i>, 2020, pp. 4290–300.","apa":"Chen, W.-F., Al-Khatib, K., Stein, B., &#38; Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. <i>Findings of the Association for Computational Linguistics: EMNLP 2020</i>, 4290–4300.","bibtex":"@inproceedings{Chen_Al-Khatib_Stein_Wachsmuth_2020, title={Detecting Media Bias in News Articles using Gaussian Bias Distributions}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2020}, pages={4290–4300} }","chicago":"Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” In <i>Findings of the Association for Computational Linguistics: EMNLP 2020</i>, 4290–4300, 2020.","ama":"Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News Articles using Gaussian Bias Distributions. In: <i>Findings of the Association for Computational Linguistics: EMNLP 2020</i>. ; 2020:4290-4300.","short":"W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300."},"publication":"Findings of the Association for Computational Linguistics: EMNLP 2020","user_id":"82920","language":[{"iso":"eng"}],"_id":"3818","page":"4290-4300","main_file_link":[{"url":"https://www.aclweb.org/anthology/2020.findings-emnlp.383.pdf"}],"date_updated":"2022-05-09T15:00:46Z","author":[{"id":"82920","last_name":"Chen","first_name":"Wei-Fan","full_name":"Chen, Wei-Fan"},{"last_name":"Al-Khatib","first_name":"Khalid","full_name":"Al-Khatib, Khalid"},{"full_name":"Stein, Benno","first_name":"Benno","last_name":"Stein"},{"id":"3900","last_name":"Wachsmuth","first_name":"Henning","full_name":"Wachsmuth, Henning"}],"title":"Detecting Media Bias in News Articles using Gaussian Bias Distributions","status":"public","year":"2020"},{"type":"conference","department":[{"_id":"600"},{"_id":"568"}],"date_created":"2020-02-06T10:51:33Z","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - B1: SFB 901 - Subproject B1","_id":"9"}],"publication":"Proceedings of the Web Conference 2020","citation":{"mla":"Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” <i>Proceedings of the Web Conference 2020</i>, 2020, pp. 1309–19.","bibtex":"@inproceedings{Chen_Syed_Stein_Hagen_Potthast_2020, title={Abstractive Snippet Generation}, booktitle={Proceedings of the Web Conference 2020}, author={Chen, Wei-Fan and Syed, Shahbaz and Stein, Benno and Hagen, Matthias and Potthast, Martin}, year={2020}, pages={1309–1319} }","ama":"Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation. In: <i>Proceedings of the Web Conference 2020</i>. ; 2020:1309-1319.","ieee":"W.-F. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast, “Abstractive Snippet Generation,” in <i>Proceedings of the Web Conference 2020</i>, 2020, pp. 1309–1319.","apa":"Chen, W.-F., Syed, S., Stein, B., Hagen, M., &#38; Potthast, M. (2020). Abstractive Snippet Generation. <i>Proceedings of the Web Conference 2020</i>, 1309–1319.","chicago":"Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast. “Abstractive Snippet Generation.” In <i>Proceedings of the Web Conference 2020</i>, 1309–19, 2020.","short":"W.-F. Chen, S. Syed, B. Stein, M. Hagen, M. 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CauseNet: Towards a Causality Graph Extracted from the Web. <i>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)</i>, 3023–3030. <a href=\"https://doi.org/10.1145/3340531.3412763\">https://doi.org/10.1145/3340531.3412763</a>","ieee":"S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, and M. Potthast, “CauseNet: Towards a Causality Graph Extracted from the Web,” in <i>Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)</i>, 2020, pp. 3023–3030, doi: <a href=\"https://doi.org/10.1145/3340531.3412763\">10.1145/3340531.3412763</a>.","short":"S. Heindorf, Y. Scholten, H. Wachsmuth, A.-C. Ngonga Ngomo, M. 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Lösch, M. Platzner, in: 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2020.","ieee":"A. Lösch and M. Platzner, “MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes,” 2020, doi: <a href=\"https://doi.org/10.1109/ipdpsw50202.2020.00012\">10.1109/ipdpsw50202.2020.00012</a>.","apa":"Lösch, A., &#38; Platzner, M. (2020). MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes. <i>2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)</i>. <a href=\"https://doi.org/10.1109/ipdpsw50202.2020.00012\">https://doi.org/10.1109/ipdpsw50202.2020.00012</a>","bibtex":"@inproceedings{Lösch_Platzner_2020, title={MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes}, DOI={<a href=\"https://doi.org/10.1109/ipdpsw50202.2020.00012\">10.1109/ipdpsw50202.2020.00012</a>}, booktitle={2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)}, author={Lösch, Achim and Platzner, Marco}, year={2020} }","ama":"Lösch A, Platzner M. MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes. 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Perhaps surprisingly,\r\n[Ambainis, CCC 2014] showed that the related, but arguably more natural,\r\nproblem of simulating local measurements on ground states of local Hamiltonians\r\n(APX-SIM) is likely harder than QMA. Indeed, [Ambainis, CCC 2014] showed that\r\nAPX-SIM is P^QMA[log]-complete, for P^QMA[log] the class of languages decidable\r\nby a P machine making a logarithmic number of adaptive queries to a QMA oracle.\r\nIn this work, we show that APX-SIM is P^QMA[log]-complete even when restricted\r\nto more physical Hamiltonians, obtaining as intermediate steps a variety of\r\nrelated complexity-theoretic results.\r\n  We first give a sequence of results which together yield P^QMA[log]-hardness\r\nfor APX-SIM on well-motivated Hamiltonians: (1) We show that for NP, StoqMA,\r\nand QMA oracles, a logarithmic number of adaptive queries is equivalent to\r\npolynomially many parallel queries. These equalities simplify the proofs of our\r\nsubsequent results. (2) Next, we show that the hardness of APX-SIM is preserved\r\nunder Hamiltonian simulations (a la [Cubitt, Montanaro, Piddock, 2017]). As a\r\nbyproduct, we obtain a full complexity classification of APX-SIM, showing it is\r\ncomplete for P, P^||NP, P^||StoqMA, or P^||QMA depending on the Hamiltonians\r\nemployed. (3) Leveraging the above, we show that APX-SIM is P^QMA[log]-complete\r\nfor any family of Hamiltonians which can efficiently simulate spatially sparse\r\nHamiltonians, including physically motivated models such as the 2D Heisenberg\r\nmodel.\r\n  Our second focus considers 1D systems: We show that APX-SIM remains\r\nP^QMA[log]-complete even for local Hamiltonians on a 1D line of 8-dimensional\r\nqudits. This uses a number of ideas from above, along with replacing the \"query\r\nHamiltonian\" of [Ambainis, CCC 2014] with a new \"sifter\" construction."}],"citation":{"ama":"Gharibian S, Piddock S, Yirka J. Oracle complexity classes and local measurements on physical  Hamiltonians. In: <i>Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020)</i>. ; 2020:38.","short":"S. Gharibian, S. Piddock, J. Yirka, in: Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020), 2020, p. 38.","chicago":"Gharibian, Sevag, Stephen Piddock, and Justin Yirka. “Oracle Complexity Classes and Local Measurements on Physical  Hamiltonians.” In <i>Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020)</i>, 38, 2020.","bibtex":"@inproceedings{Gharibian_Piddock_Yirka_2020, title={Oracle complexity classes and local measurements on physical  Hamiltonians}, booktitle={Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020)}, author={Gharibian, Sevag and Piddock, Stephen and Yirka, Justin}, year={2020}, pages={38} }","apa":"Gharibian, S., Piddock, S., &#38; Yirka, J. (2020). Oracle complexity classes and local measurements on physical  Hamiltonians. <i>Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020)</i>, 38.","mla":"Gharibian, Sevag, et al. “Oracle Complexity Classes and Local Measurements on Physical  Hamiltonians.” <i>Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020)</i>, 2020, p. 38.","ieee":"S. Gharibian, S. Piddock, and J. Yirka, “Oracle complexity classes and local measurements on physical  Hamiltonians,” in <i>Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020)</i>, 2020, p. 38."},"publication":"Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020)","user_id":"71541","_id":"13226","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://arxiv.org/abs/1909.05981","open_access":"1"}],"page":"38","publication_status":"published","date_updated":"2023-10-09T04:17:41Z","author":[{"id":"71541","first_name":"Sevag","last_name":"Gharibian","orcid":"0000-0002-9992-3379","full_name":"Gharibian, Sevag"},{"last_name":"Piddock","first_name":"Stephen","full_name":"Piddock, Stephen"},{"last_name":"Yirka","first_name":"Justin","full_name":"Yirka, Justin"}],"status":"public","title":"Oracle complexity classes and local measurements on physical  Hamiltonians","year":"2020"},{"abstract":[{"text":"The detection of orchestrated and potentially manipulative campaigns in social media is far more meaningful than an- alyzing single account behaviour but also more challenging in terms of pattern recognition, data processing, and com- putational complexity. While supervised learning methods need an enormous amount of reliable ground truth data to find rather inflexible patterns, classical unsupervised learn- ing techniques need a lot of computational power to handle large amount of data. This makes them infeasible for real- time analysis. In this work, we demonstrate the applicability of text stream clustering for the real-time detection of coordi- nated campaigns.","lang":"eng"}],"publication":"Proceedings of the Florida Artificial Intelligence Research Society Conference","citation":{"chicago":"Assenmacher, D, L Adam, Heike Trautmann, and C Grimme. “Towards Real-Time and Unsupervised Campaign Detection in Social Media.” In <i>Proceedings of the Florida Artificial Intelligence Research Society Conference</i>. Florida, USA, 2020.","short":"D. Assenmacher, L. Adam, H. Trautmann, C. Grimme, in: Proceedings of the Florida Artificial Intelligence Research Society Conference, Florida, USA, 2020.","ieee":"D. Assenmacher, L. Adam, H. Trautmann, and C. Grimme, “Towards Real-Time and Unsupervised Campaign Detection in Social Media,” 2020.","apa":"Assenmacher, D., Adam, L., Trautmann, H., &#38; Grimme, C. (2020). Towards Real-Time and Unsupervised Campaign Detection in Social Media. <i>Proceedings of the Florida Artificial Intelligence Research Society Conference</i>.","bibtex":"@inproceedings{Assenmacher_Adam_Trautmann_Grimme_2020, place={Florida, USA}, title={Towards Real-Time and Unsupervised Campaign Detection in Social Media}, booktitle={Proceedings of the Florida Artificial Intelligence Research Society Conference}, author={Assenmacher, D and Adam, L and Trautmann, Heike and Grimme, C}, year={2020} }","ama":"Assenmacher D, Adam L, Trautmann H, Grimme C. Towards Real-Time and Unsupervised Campaign Detection in Social Media. In: <i>Proceedings of the Florida Artificial Intelligence Research Society Conference</i>. ; 2020.","mla":"Assenmacher, D., et al. “Towards Real-Time and Unsupervised Campaign Detection in Social Media.” <i>Proceedings of the Florida Artificial Intelligence Research Society Conference</i>, 2020."},"type":"conference","department":[{"_id":"34"},{"_id":"819"}],"date_created":"2023-08-04T07:29:36Z","place":"Florida, USA","date_updated":"2023-10-16T12:59:10Z","status":"public","title":"Towards Real-Time and Unsupervised Campaign Detection in Social Media","year":"2020","author":[{"first_name":"D","last_name":"Assenmacher","full_name":"Assenmacher, D"},{"first_name":"L","last_name":"Adam","full_name":"Adam, L"},{"full_name":"Trautmann, Heike","last_name":"Trautmann","first_name":"Heike","orcid":"0000-0002-9788-8282","id":"100740"},{"full_name":"Grimme, C","first_name":"C","last_name":"Grimme"}],"user_id":"15504","_id":"46319","language":[{"iso":"eng"}]},{"page":"996–1003","language":[{"iso":"eng"}],"_id":"46328","user_id":"15504","doi":"10.1109/SSCI47803.2020.9308510","title":"Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis","status":"public","year":"2020","author":[{"first_name":"Raphael Patrick","last_name":"Prager","full_name":"Prager, Raphael Patrick"},{"id":"100740","full_name":"Trautmann, Heike","first_name":"Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann"},{"first_name":"Hao","last_name":"Wang","full_name":"Wang, Hao"},{"full_name":"Bäck, Thomas H. W.","first_name":"Thomas H. W.","last_name":"Bäck"},{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"}],"date_updated":"2023-10-16T13:04:15Z","date_created":"2023-08-04T07:37:30Z","place":"Canberra, Australia","type":"conference","department":[{"_id":"34"},{"_id":"819"}],"publication":"Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)","citation":{"bibtex":"@inproceedings{Prager_Trautmann_Wang_Bäck_Kerschke_2020, place={Canberra, Australia}, title={Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis}, DOI={<a href=\"https://doi.org/10.1109/SSCI47803.2020.9308510\">10.1109/SSCI47803.2020.9308510</a>}, booktitle={Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)}, author={Prager, Raphael Patrick and Trautmann, Heike and Wang, Hao and Bäck, Thomas H. W. and Kerschke, Pascal}, year={2020}, pages={996–1003} }","ama":"Prager RP, Trautmann H, Wang H, Bäck THW, Kerschke P. Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. In: <i>Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)</i>. ; 2020:996–1003. doi:<a href=\"https://doi.org/10.1109/SSCI47803.2020.9308510\">10.1109/SSCI47803.2020.9308510</a>","mla":"Prager, Raphael Patrick, et al. “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.” <i>Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 2020, pp. 996–1003, doi:<a href=\"https://doi.org/10.1109/SSCI47803.2020.9308510\">10.1109/SSCI47803.2020.9308510</a>.","short":"R.P. Prager, H. Trautmann, H. Wang, T.H.W. Bäck, P. Kerschke, in: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020, pp. 996–1003.","chicago":"Prager, Raphael Patrick, Heike Trautmann, Hao Wang, Thomas H. W. Bäck, and Pascal Kerschke. “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.” In <i>Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 996–1003. Canberra, Australia, 2020. <a href=\"https://doi.org/10.1109/SSCI47803.2020.9308510\">https://doi.org/10.1109/SSCI47803.2020.9308510</a>.","ieee":"R. P. Prager, H. Trautmann, H. Wang, T. H. W. Bäck, and P. Kerschke, “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis,” in <i>Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 2020, pp. 996–1003, doi: <a href=\"https://doi.org/10.1109/SSCI47803.2020.9308510\">10.1109/SSCI47803.2020.9308510</a>.","apa":"Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W., &#38; Kerschke, P. (2020). Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. <i>Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI)</i>, 996–1003. <a href=\"https://doi.org/10.1109/SSCI47803.2020.9308510\">https://doi.org/10.1109/SSCI47803.2020.9308510</a>"},"abstract":[{"text":"In this paper, we rely on previous work proposing a modularized version of CMA-ES, which captures several alterations to the conventional CMA-ES developed in recent years. Each alteration provides significant advantages under certain problem properties, e.g., multi-modality, high conditioning. These distinct advancements are implemented as modules which result in 4608 unique versions of CMA-ES. Previous findings illustrate the competitive advantage of enabling and disabling the aforementioned modules for different optimization problems. Yet, this modular CMA-ES is lacking a method to automatically determine when the activation of specific modules is auspicious and when it is not. We propose a well-performing instance-specific algorithm configuration model which selects an (almost) optimal configuration of modules for a given problem instance. In addition, the structure of this configuration model is able to capture inter-dependencies between modules, e.g., two (or more) modules might only be advantageous in unison for some problem types, making the orchestration of modules a crucial task. This is accomplished by chaining multiple random forest classifiers together into a so-called Classifier Chain based on a set of numerical features extracted by means of Exploratory Landscape Analysis (ELA) to describe the given problem instances.","lang":"eng"}]},{"language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-49570-1_14","year":"2020","title":"A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media","publication_identifier":{"isbn":["978-3-030-49570-1"]},"author":[{"last_name":"Assenmacher","first_name":"D","full_name":"Assenmacher, D"},{"first_name":"L","last_name":"Clever","full_name":"Clever, L"},{"first_name":"JS","last_name":"Pohl","full_name":"Pohl, JS"},{"id":"100740","full_name":"Trautmann, Heike","first_name":"Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282"},{"last_name":"Grimme","first_name":"C","full_name":"Grimme, C"}],"date_updated":"2023-10-16T12:59:28Z","date_created":"2023-08-04T07:30:29Z","type":"conference","department":[{"_id":"34"},{"_id":"819"}],"publication":"Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis","abstract":[{"lang":"eng","text":"The identification of coordinated campaigns within Social Media is a complex task that is often hindered by missing labels and large amounts of data that have to be processed. We propose a new two-phase framework that uses unsupervised stream clustering for detecting suspicious trends over time in a first step. Afterwards, traditional offline analyses are applied to distinguish between normal trend evolution and malicious manipulation attempts. We demonstrate the applicability of our framework in the context of the final days of the Brexit in 2019/2020."}],"page":"201–214","_id":"46320","publisher":"Springer International Publishing","user_id":"15504","editor":[{"full_name":"Meiselwitz, G","first_name":"G","last_name":"Meiselwitz"}],"status":"public","place":"Cham","citation":{"ama":"Assenmacher D, Clever L, Pohl J, Trautmann H, Grimme C. A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In: Meiselwitz G, ed. <i>Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis</i>. Springer International Publishing; 2020:201–214. doi:<a href=\"https://doi.org/10.1007/978-3-030-49570-1_14\">10.1007/978-3-030-49570-1_14</a>","bibtex":"@inproceedings{Assenmacher_Clever_Pohl_Trautmann_Grimme_2020, place={Cham}, title={A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-49570-1_14\">10.1007/978-3-030-49570-1_14</a>}, booktitle={Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis}, publisher={Springer International Publishing}, author={Assenmacher, D and Clever, L and Pohl, JS and Trautmann, Heike and Grimme, C}, editor={Meiselwitz, G}, year={2020}, pages={201–214} }","mla":"Assenmacher, D., et al. “A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media.” <i>Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis</i>, edited by G Meiselwitz, Springer International Publishing, 2020, pp. 201–214, doi:<a href=\"https://doi.org/10.1007/978-3-030-49570-1_14\">10.1007/978-3-030-49570-1_14</a>.","chicago":"Assenmacher, D, L Clever, JS Pohl, Heike Trautmann, and C Grimme. “A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media.” In <i>Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis</i>, edited by G Meiselwitz, 201–214. Cham: Springer International Publishing, 2020. <a href=\"https://doi.org/10.1007/978-3-030-49570-1_14\">https://doi.org/10.1007/978-3-030-49570-1_14</a>.","short":"D. Assenmacher, L. Clever, J. Pohl, H. Trautmann, C. Grimme, in: G. Meiselwitz (Ed.), Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, Springer International Publishing, Cham, 2020, pp. 201–214.","apa":"Assenmacher, D., Clever, L., Pohl, J., Trautmann, H., &#38; Grimme, C. (2020). A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In G. Meiselwitz (Ed.), <i>Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis</i> (pp. 201–214). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-49570-1_14\">https://doi.org/10.1007/978-3-030-49570-1_14</a>","ieee":"D. Assenmacher, L. Clever, J. Pohl, H. Trautmann, and C. Grimme, “A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media,” in <i>Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis</i>, 2020, pp. 201–214, doi: <a href=\"https://doi.org/10.1007/978-3-030-49570-1_14\">10.1007/978-3-030-49570-1_14</a>."}},{"date_created":"2023-08-04T07:35:24Z","place":"Würzburg, Germany","department":[{"_id":"34"},{"_id":"819"}],"type":"conference","citation":{"apa":"Carnein, M., Trautmann, H., Bifet, A., &#38; Pfahringer, B. (2020). Towards Automated Configuration of Stream Clustering Algorithms. <i>Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)</i>, 137–143. <a href=\"https://doi.org/10.1007/978-3-030-43823-4_12\">https://doi.org/10.1007/978-3-030-43823-4_12</a>","ieee":"M. Carnein, H. Trautmann, A. Bifet, and B. Pfahringer, “Towards Automated Configuration of Stream Clustering Algorithms,” in <i>Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)</i>, 2020, pp. 137–143, doi: <a href=\"https://doi.org/10.1007/978-3-030-43823-4_12\">10.1007/978-3-030-43823-4_12</a>.","short":"M. Carnein, H. Trautmann, A. Bifet, B. Pfahringer, in: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), Würzburg, Germany, 2020, pp. 137–143.","chicago":"Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “Towards Automated Configuration of Stream Clustering Algorithms.” In <i>Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)</i>, 137–143. Würzburg, Germany, 2020. <a href=\"https://doi.org/10.1007/978-3-030-43823-4_12\">https://doi.org/10.1007/978-3-030-43823-4_12</a>.","mla":"Carnein, Matthias, et al. “Towards Automated Configuration of Stream Clustering Algorithms.” <i>Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)</i>, 2020, pp. 137–143, doi:<a href=\"https://doi.org/10.1007/978-3-030-43823-4_12\">10.1007/978-3-030-43823-4_12</a>.","ama":"Carnein M, Trautmann H, Bifet A, Pfahringer B. Towards Automated Configuration of Stream Clustering Algorithms. In: <i>Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)</i>. ; 2020:137–143. doi:<a href=\"https://doi.org/10.1007/978-3-030-43823-4_12\">10.1007/978-3-030-43823-4_12</a>","bibtex":"@inproceedings{Carnein_Trautmann_Bifet_Pfahringer_2020, place={Würzburg, Germany}, title={Towards Automated Configuration of Stream Clustering Algorithms}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-43823-4_12\">10.1007/978-3-030-43823-4_12</a>}, booktitle={Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)}, author={Carnein, Matthias and Trautmann, Heike and Bifet, Albert and Pfahringer, Bernhard}, year={2020}, pages={137–143} }"},"publication":"Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19)","abstract":[{"lang":"eng","text":"Clustering is an important technique in data analysis which can reveal hidden patterns and unknown relationships in the data. A common problem in clustering is the proper choice of parameter settings. To tackle this, automated algorithm configuration is available which can automatically find the best parameter settings. In practice, however, many of our today’s data sources are data streams due to the widespread deployment of sensors, the internet-of-things or (social) media. Stream clustering aims to tackle this challenge by identifying, tracking and updating clusters over time. Unfortunately, none of the existing approaches for automated algorithm configuration are directly applicable to the streaming scenario. In this paper, we explore the possibility of automated algorithm configuration for stream clustering algorithms using an ensemble of different configurations. In first experiments, we demonstrate that our approach is able to automatically find superior configurations and refine them over time."}],"language":[{"iso":"eng"}],"_id":"46325","page":"137–143","user_id":"15504","doi":"10.1007/978-3-030-43823-4_12","publication_identifier":{"isbn":["978-3-030-43823-4"]},"author":[{"last_name":"Carnein","first_name":"Matthias","full_name":"Carnein, Matthias"},{"full_name":"Trautmann, Heike","first_name":"Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann","id":"100740"},{"full_name":"Bifet, Albert","last_name":"Bifet","first_name":"Albert"},{"first_name":"Bernhard","last_name":"Pfahringer","full_name":"Pfahringer, Bernhard"}],"status":"public","year":"2020","title":"Towards Automated Configuration of Stream Clustering Algorithms","date_updated":"2023-10-16T13:03:15Z"},{"publication":"Disinformation in open online media","citation":{"short":"D. Assenmacher, L. Frischlich , H. Trautmann, C. Grimme, L. Adam, in: C. Grimme, M. Preuß, F. Takes, A. Waldherr (Eds.), Disinformation in Open Online Media, Springer, Wiesbaden, 2020, pp. 101–114.","chicago":"Assenmacher, Dennis, Lena Frischlich , Heike Trautmann, Christian Grimme, and Lena Adam. “Inside the Tool Set of Automation: Free Social Bot Code Revisited.” In <i>Disinformation in Open Online Media</i>, edited by Christian Grimme, Mike Preuß, Frank Takes, and Annie Waldherr, 101–114. Lecture Notes in Computer Science. Wiesbaden: Springer, 2020.","ieee":"D. Assenmacher, L. Frischlich , H. Trautmann, C. Grimme, and L. Adam, “Inside the tool set of automation: Free social bot code revisited,” in <i>Disinformation in open online media</i>, 2020, pp. 101–114.","apa":"Assenmacher, D., Frischlich , L., Trautmann, H., Grimme, C., &#38; Adam, L. (2020). Inside the tool set of automation: Free social bot code revisited. In C. Grimme, M. Preuß, F. Takes, &#38; A. Waldherr (Eds.), <i>Disinformation in open online media</i> (pp. 101–114). Springer.","bibtex":"@inproceedings{Assenmacher_Frischlich _Trautmann_Grimme_Adam_2020, place={Wiesbaden}, series={Lecture Notes in Computer Science}, title={Inside the tool set of automation: Free social bot code revisited}, booktitle={Disinformation in open online media}, publisher={Springer}, author={Assenmacher, Dennis and Frischlich , Lena and Trautmann, Heike and Grimme, Christian and Adam, Lena}, editor={Grimme, Christian and Preuß, Mike and Takes, Frank and Waldherr, Annie}, year={2020}, pages={101–114}, collection={Lecture Notes in Computer Science} }","ama":"Assenmacher D, Frischlich  L, Trautmann H, Grimme C, Adam L. Inside the tool set of automation: Free social bot code revisited. In: Grimme C, Preuß M, Takes F, Waldherr A, eds. <i>Disinformation in Open Online Media</i>. Lecture Notes in Computer Science. Springer; 2020:101–114.","mla":"Assenmacher, Dennis, et al. “Inside the Tool Set of Automation: Free Social Bot Code Revisited.” <i>Disinformation in Open Online Media</i>, edited by Christian Grimme et al., Springer, 2020, pp. 101–114."},"abstract":[{"lang":"eng","text":"Social bots have recently gained attention in the context of public opinion manipulation on social media platforms. While a lot of research effort has been put into the classification and detection of such automated programs, it is still unclear how technically sophisticated those bots are, which platforms they target, and where they originate from. To answer these questions, we gathered repository data from open source collaboration platforms to identify the status-quo of social bot development as well as first insights into the overall skills of publicly available bot code."}],"place":"Wiesbaden","date_created":"2023-08-04T07:31:13Z","type":"conference","department":[{"_id":"34"},{"_id":"819"}],"title":"Inside the tool set of automation: Free social bot code revisited","status":"public","year":"2020","author":[{"first_name":"Dennis","last_name":"Assenmacher","full_name":"Assenmacher, Dennis"},{"full_name":"Frischlich , Lena","last_name":"Frischlich ","first_name":"Lena"},{"id":"100740","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"},{"full_name":"Grimme, Christian","last_name":"Grimme","first_name":"Christian"},{"full_name":"Adam, Lena","last_name":"Adam","first_name":"Lena"}],"date_updated":"2023-10-16T13:00:15Z","page":"101–114","series_title":"Lecture Notes in Computer Science","_id":"46321","publisher":"Springer","language":[{"iso":"eng"}],"user_id":"15504","editor":[{"full_name":"Grimme, Christian","last_name":"Grimme","first_name":"Christian"},{"last_name":"Preuß","first_name":"Mike","full_name":"Preuß, Mike"},{"full_name":"Takes, Frank","first_name":"Frank","last_name":"Takes"},{"full_name":"Waldherr, Annie","first_name":"Annie","last_name":"Waldherr"}]},{"type":"conference","department":[{"_id":"34"},{"_id":"819"}],"date_created":"2023-08-04T07:36:03Z","place":"Athens, Greece","abstract":[{"lang":"eng","text":"Machine learning has become one of the most important tools in data analysis. However, selecting the most appropriate machine learning algorithm and tuning its hyperparameters to their optimal values remains a difficult task. This is even more difficult for streaming applications where automated approaches are often not available to help during algorithm selection and configuration. This paper proposes the first approach for automated algorithm selection and configuration of stream clustering algorithms. We train an ensemble of different stream clustering algorithms and configurations in parallel and use the best performing configuration to obtain a clustering solution. By drawing new configurations from better performing ones, we are able to improve the ensemble performance over time. In large experiments on real and artificial data we show how our ensemble approach can improve upon default configurations and can also compete with a-posteriori algorithm configuration. Our approach is considerably faster than a-posteriori approaches and applicable in real-time. In addition, it is not limited to stream clustering and can be generalised to all streaming applications, including stream classification and regression."}],"publication":"Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)","citation":{"chicago":"Carnein, Matthias, Heike Trautmann, Albert Bifet, and Bernhard Pfahringer. “ConfStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.” In <i>Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)</i>, 80–95. Athens, Greece, 2020. <a href=\"https://doi.org/10.1007/978-3-030-53552-0_10\">https://doi.org/10.1007/978-3-030-53552-0_10</a>.","short":"M. Carnein, H. Trautmann, A. Bifet, B. Pfahringer, in: Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), Athens, Greece, 2020, pp. 80–95.","ieee":"M. Carnein, H. Trautmann, A. Bifet, and B. Pfahringer, “confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms,” in <i>Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)</i>, 2020, pp. 80–95, doi: <a href=\"https://doi.org/10.1007/978-3-030-53552-0_10\">10.1007/978-3-030-53552-0_10</a>.","apa":"Carnein, M., Trautmann, H., Bifet, A., &#38; Pfahringer, B. (2020). confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. <i>Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)</i>, 80–95. <a href=\"https://doi.org/10.1007/978-3-030-53552-0_10\">https://doi.org/10.1007/978-3-030-53552-0_10</a>","bibtex":"@inproceedings{Carnein_Trautmann_Bifet_Pfahringer_2020, place={Athens, Greece}, title={confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-53552-0_10\">10.1007/978-3-030-53552-0_10</a>}, booktitle={Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)}, author={Carnein, Matthias and Trautmann, Heike and Bifet, Albert and Pfahringer, Bernhard}, year={2020}, pages={80–95} }","ama":"Carnein M, Trautmann H, Bifet A, Pfahringer B. confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. In: <i>Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)</i>. ; 2020:80–95. doi:<a href=\"https://doi.org/10.1007/978-3-030-53552-0_10\">10.1007/978-3-030-53552-0_10</a>","mla":"Carnein, Matthias, et al. “ConfStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms.” <i>Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020)</i>, 2020, pp. 80–95, doi:<a href=\"https://doi.org/10.1007/978-3-030-53552-0_10\">10.1007/978-3-030-53552-0_10</a>."},"user_id":"15504","doi":"10.1007/978-3-030-53552-0_10","page":"80–95","language":[{"iso":"eng"}],"_id":"46326","date_updated":"2023-10-16T13:03:36Z","year":"2020","status":"public","title":"confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms","author":[{"first_name":"Matthias","last_name":"Carnein","full_name":"Carnein, Matthias"},{"last_name":"Trautmann","orcid":"0000-0002-9788-8282","first_name":"Heike","full_name":"Trautmann, Heike","id":"100740"},{"last_name":"Bifet","first_name":"Albert","full_name":"Bifet, Albert"},{"full_name":"Pfahringer, Bernhard","last_name":"Pfahringer","first_name":"Bernhard"}]},{"language":[{"iso":"eng"}],"_id":"46327","page":"48–58","editor":[{"full_name":"Grimme, Christian","last_name":"Grimme","first_name":"Christian"},{"last_name":"Preuß","first_name":"Mike","full_name":"Preuß, Mike"},{"first_name":"Frank","last_name":"Takes","full_name":"Takes, Frank"},{"full_name":"Waldherr, Annie","first_name":"Annie","last_name":"Waldherr"}],"user_id":"15504","author":[{"full_name":"Lena, Clever","last_name":"Lena","first_name":"Clever"},{"last_name":"Frischlich","first_name":"Lena","full_name":"Frischlich, Lena"},{"id":"100740","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"},{"full_name":"Grimme, Christian","last_name":"Grimme","first_name":"Christian"}],"year":"2020","status":"public","title":"Automated detection of nostalgic text in the context of societal pessimism","date_updated":"2023-10-16T13:03:56Z","place":"Hamburg, Deutschland","date_created":"2023-08-04T07:36:43Z","department":[{"_id":"34"},{"_id":"819"}],"type":"conference","citation":{"mla":"Lena, Clever, et al. “Automated Detection of Nostalgic Text in the Context of Societal Pessimism.” <i>Disinformation in Open Online Media</i>, edited by Christian Grimme et al., 2020, pp. 48–58.","ama":"Lena C, Frischlich L, Trautmann H, Grimme C. Automated detection of nostalgic text in the context of societal pessimism. In: Grimme C, Preuß M, Takes F, Waldherr A, eds. <i>Disinformation in Open Online Media</i>. ; 2020:48–58.","bibtex":"@inproceedings{Lena_Frischlich_Trautmann_Grimme_2020, place={Hamburg, Deutschland}, title={Automated detection of nostalgic text in the context of societal pessimism}, booktitle={Disinformation in open online media}, author={Lena, Clever and Frischlich, Lena and Trautmann, Heike and Grimme, Christian}, editor={Grimme, Christian and Preuß, Mike and Takes, Frank and Waldherr, Annie}, year={2020}, pages={48–58} }","apa":"Lena, C., Frischlich, L., Trautmann, H., &#38; Grimme, C. (2020). Automated detection of nostalgic text in the context of societal pessimism. In C. Grimme, M. Preuß, F. Takes, &#38; A. Waldherr (Eds.), <i>Disinformation in open online media</i> (pp. 48–58).","ieee":"C. Lena, L. Frischlich, H. Trautmann, and C. Grimme, “Automated detection of nostalgic text in the context of societal pessimism,” in <i>Disinformation in open online media</i>, 2020, pp. 48–58.","chicago":"Lena, Clever, Lena Frischlich, Heike Trautmann, and Christian Grimme. “Automated Detection of Nostalgic Text in the Context of Societal Pessimism.” In <i>Disinformation in Open Online Media</i>, edited by Christian Grimme, Mike Preuß, Frank Takes, and Annie Waldherr, 48–58. Hamburg, Deutschland, 2020.","short":"C. Lena, L. Frischlich, H. Trautmann, C. Grimme, in: C. Grimme, M. Preuß, F. Takes, A. Waldherr (Eds.), Disinformation in Open Online Media, Hamburg, Deutschland, 2020, pp. 48–58."},"publication":"Disinformation in open online media","abstract":[{"text":"In online media environments, nostalgia can be used as important ingredient of propaganda strategies, specifically, by creating societal pessimism. This work addresses the automated detection of nostalgic text as a first step towards automatically identifying nostalgia-based manipulation strategies. We compare the performance of standard machine learning approaches on this challenge and demonstrate the successful transfer of the best performing approach to real-world nostalgia detection in a case study.","lang":"eng"}]},{"publication":"Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing","citation":{"short":"D.M. Riehle, M. Niemann, J. Brunk, D. Assenmacher, H. Trautmann, J. Becker, in: G. Meiselwitz (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, Springer International Publishing, Cham, 2020, pp. 71–86.","chicago":"Riehle, Dennis M., Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, and Jörg Becker. “Building an Integrated Comment Moderation System – Towards a Semi-Automatic Moderation Tool.” In <i>Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing</i>, edited by Gabriele Meiselwitz, 71–86. Cham: Springer International Publishing, 2020.","apa":"Riehle, D. M., Niemann, M., Brunk, J., Assenmacher, D., Trautmann, H., &#38; Becker, J. (2020). Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool. In G. Meiselwitz (Ed.), <i>Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing</i> (pp. 71–86). Springer International Publishing.","ieee":"D. M. Riehle, M. Niemann, J. Brunk, D. Assenmacher, H. Trautmann, and J. Becker, “Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool,” in <i>Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing</i>, 2020, pp. 71–86.","ama":"Riehle DM, Niemann M, Brunk J, Assenmacher D, Trautmann H, Becker J. Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool. In: Meiselwitz G, ed. <i>Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing</i>. Springer International Publishing; 2020:71–86.","bibtex":"@inproceedings{Riehle_Niemann_Brunk_Assenmacher_Trautmann_Becker_2020, place={Cham}, title={Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool}, booktitle={Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing}, publisher={Springer International Publishing}, author={Riehle, Dennis M. and Niemann, Marco and Brunk, Jens and Assenmacher, Dennis and Trautmann, Heike and Becker, Jörg}, editor={Meiselwitz, Gabriele}, year={2020}, pages={71–86} }","mla":"Riehle, Dennis M., et al. “Building an Integrated Comment Moderation System – Towards a Semi-Automatic Moderation Tool.” <i>Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing</i>, edited by Gabriele Meiselwitz, Springer International Publishing, 2020, pp. 71–86."},"abstract":[{"lang":"eng","text":"The past decade has been characterized by a strong increase in the use of social media and a continuous growth of public online discussion. With the failure of purely manual moderation, platform operators started searching for semi-automated solutions, where the application of Natural Language Processing (NLP) and Machine Learning (ML) techniques is promising. However, this requires huge financial investments for algorithmic implementations, data collection, and model training, which only big players can afford. To support smaller or medium-sized media enterprises (SME), we developed an integrated comment moderation system as an IT platform. This platform acts as a service provider and offers Analytics as a Service (AaaS) to SMEs. Operating such a platform, however, requires a robust technology stack, integrated workflows and well-defined interfaces between all parties. In this paper, we develop and discuss a suitable IT architecture and present a prototypical implementation."}],"date_created":"2023-08-04T07:38:42Z","place":"Cham","type":"conference","department":[{"_id":"34"},{"_id":"819"}],"title":"Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool","status":"public","year":"2020","publication_identifier":{"isbn":["978-3-030-49576-3"]},"author":[{"full_name":"Riehle, Dennis M.","first_name":"Dennis M.","last_name":"Riehle"},{"full_name":"Niemann, Marco","first_name":"Marco","last_name":"Niemann"},{"first_name":"Jens","last_name":"Brunk","full_name":"Brunk, Jens"},{"full_name":"Assenmacher, Dennis","first_name":"Dennis","last_name":"Assenmacher"},{"last_name":"Trautmann","orcid":"0000-0002-9788-8282","first_name":"Heike","full_name":"Trautmann, Heike","id":"100740"},{"full_name":"Becker, Jörg","last_name":"Becker","first_name":"Jörg"}],"date_updated":"2023-10-16T13:04:36Z","page":"71–86","publisher":"Springer International Publishing","_id":"46329","language":[{"iso":"eng"}],"user_id":"15504","editor":[{"last_name":"Meiselwitz","first_name":"Gabriele","full_name":"Meiselwitz, Gabriele"}]},{"language":[{"iso":"eng"}],"_id":"46333","page":"2056305120939264","volume":6,"doi":"10.1177/2056305120939264","user_id":"15504","author":[{"full_name":"Assenmacher, Dennis","last_name":"Assenmacher","first_name":"Dennis"},{"full_name":"Clever, Lena","last_name":"Clever","first_name":"Lena"},{"full_name":"Frischlich, Lena","first_name":"Lena","last_name":"Frischlich"},{"full_name":"Quandt, Thorsten","last_name":"Quandt","first_name":"Thorsten"},{"id":"100740","orcid":"0000-0002-9788-8282","last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"},{"full_name":"Grimme, Christian","last_name":"Grimme","first_name":"Christian"}],"title":"Demystifying Social Bots: On the Intelligence of Automated Social Media Actors","year":"2020","status":"public","intvolume":"         6","date_updated":"2023-10-16T13:06:34Z","date_created":"2023-08-04T07:41:37Z","department":[{"_id":"34"},{"_id":"819"}],"type":"journal_article","citation":{"mla":"Assenmacher, Dennis, et al. “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors.” <i>Social Media + Society</i>, vol. 6, no. 3, 2020, p. 2056305120939264, doi:<a href=\"https://doi.org/10.1177/2056305120939264\">10.1177/2056305120939264</a>.","ama":"Assenmacher D, Clever L, Frischlich L, Quandt T, Trautmann H, Grimme C. Demystifying Social Bots: On the Intelligence of Automated Social Media Actors. <i>Social Media + Society</i>. 2020;6(3):2056305120939264. doi:<a href=\"https://doi.org/10.1177/2056305120939264\">10.1177/2056305120939264</a>","bibtex":"@article{Assenmacher_Clever_Frischlich_Quandt_Trautmann_Grimme_2020, title={Demystifying Social Bots: On the Intelligence of Automated Social Media Actors}, volume={6}, DOI={<a href=\"https://doi.org/10.1177/2056305120939264\">10.1177/2056305120939264</a>}, number={3}, journal={Social Media + Society}, author={Assenmacher, Dennis and Clever, Lena and Frischlich, Lena and Quandt, Thorsten and Trautmann, Heike and Grimme, Christian}, year={2020}, pages={2056305120939264} }","apa":"Assenmacher, D., Clever, L., Frischlich, L., Quandt, T., Trautmann, H., &#38; Grimme, C. (2020). Demystifying Social Bots: On the Intelligence of Automated Social Media Actors. <i>Social Media + Society</i>, <i>6</i>(3), 2056305120939264. <a href=\"https://doi.org/10.1177/2056305120939264\">https://doi.org/10.1177/2056305120939264</a>","ieee":"D. Assenmacher, L. Clever, L. Frischlich, T. Quandt, H. Trautmann, and C. Grimme, “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors,” <i>Social Media + Society</i>, vol. 6, no. 3, p. 2056305120939264, 2020, doi: <a href=\"https://doi.org/10.1177/2056305120939264\">10.1177/2056305120939264</a>.","short":"D. Assenmacher, L. Clever, L. Frischlich, T. Quandt, H. Trautmann, C. Grimme, Social Media + Society 6 (2020) 2056305120939264.","chicago":"Assenmacher, Dennis, Lena Clever, Lena Frischlich, Thorsten Quandt, Heike Trautmann, and Christian Grimme. “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors.” <i>Social Media + Society</i> 6, no. 3 (2020): 2056305120939264. <a href=\"https://doi.org/10.1177/2056305120939264\">https://doi.org/10.1177/2056305120939264</a>."},"issue":"3","publication":"Social Media + Society","abstract":[{"lang":"eng","text":" Recently, social bots, (semi-) automatized accounts in social media, gained global attention in the context of public opinion manipulation. Dystopian scenarios like the malicious amplification of topics, the spreading of disinformation, and the manipulation of elections through “opinion machines” created headlines around the globe. As a consequence, much research effort has been put into the classification and detection of social bots. Yet, it is still unclear how easy an average online media user can purchase social bots, which platforms they target, where they originate from, and how sophisticated these bots are. This work provides a much needed new perspective on these questions. By providing insights into the markets of social bots in the clearnet and darknet as well as an exhaustive analysis of freely available software tools for automation during the last decade, we shed light on the availability and capabilities of automated profiles in social media platforms. Our results confirm the increasing importance of social bot technology but also uncover an as yet unknown discrepancy of theoretical and practically achieved artificial intelligence in social bots: while literature reports on a high degree of intelligence for chat bots and assumes the same for social bots, the observed degree of intelligence in social bot implementations is limited. In fact, the overwhelming majority of available services and software are of supportive nature and merely provide modules of automation instead of fully fledged “intelligent” social bots. "}]}]