Sozialwissenschaftler*innen nutzen vermehrt neue Datentypen als Alternative oder Ergänzung zu klassischen Umfrage- oder Interviewdaten. Beispiele für diese neuen Datentypen sind administrative Daten, finanzielle bzw. geschäftliche Transaktionsdaten, Internet- und Social-Media-Daten, Geodaten oder Bild- und Audiodaten. Diese neuen Datentypen bringen spezifische Herausforderungen für technische Infrastrukturen, rechtliche Regelungen, ethisch verantwortungsvolle Forschung und Erhaltung der Daten mit sich.

Unsere Forschungsschwerpunkte im Bereich Neue Datentypen

  • Verlinkung digitaler Verhaltensdaten (z.B. aus sozialen Medien) mit Umfragedaten
  • Digitale Erhaltung von Social-Media-Daten, um Zugang zu ermöglichen und zugleich den Datenschutz zu berücksichtigen
  • Georeferenzierung von Umfragedaten, um diese mit hochauflösenden Geodaten (z.B. zu Eigenschaften von Stadtvierteln) zu verbinden
  • Sahraoui, Ameni. 2016. "Member of Organization Committee." National Conference on Smart Cities and Smart Governments .
  • Sahraoui, Ameni. 2015. "Temporal dynamics of user profile." Higher Management Institute Doctoral Colloquium, Tunis, Tunisia.
  • Sahraoui, Ameni. 2016. "Towards Improving e-Government Services Using Social Media-Based Citizen’s Profile Investigation." Doctoral Colloquium HEC’Innov, IHEC Carthage, Tunisia, 2016-05-12.
  • Sahraoui, Ameni. 2016. "Towards Tunisia Smart City: Citizen Profile Investigation for Collaborative E-Government." National Conference ”Smart Cities and Smart Government, 2016-05-10.
  • Sahraoui, Ameni. 2017. "Personalized Search based on Time-Sensitive User Profile: Thesis Manuscript."
  • Weller, Katrin. 2017. "Reviews for World Wide Web Conference (WWW'18)." Anzahl: 6.
  • Génois, Mathieu, Katrin Weller, Julian Kohne, Claudia Wagner, and Markus Strohmaier. 2017. "Workshop: Addressing Big Societal Challenges with Digital Behavioral Data." The 1st European Symposium on Societal Challenges in Computational Social Science, 2017: Inequality and Imbalance, European Symposium Series on Societal Challenges in Computational Social Science, 2017-11-15 - 2017-11-15. https://www.gesis.org/forschung/tagungen-und-konferenzen/veranstaltungsarchiv/konferenzen/addressing-big-societal-challenges-with-digital-behavioral-data.
  • Samoilenko, Anna, Florian Lemmerich, Katrin Weller, Maria Zens, and Markus Strohmaier. 2017. "Analysing Timelines of National Histories across Wikipedia Editions: a Comparative Computational Approach." In Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM 2017), Montréal, Québec, Canada, May 15-18, 2017, 210-219. Ann Arbor, MI: AAAI Press. https://www.aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15618.
  • Samoilenko, Anna, Florian Lemmerich, Maria Zens, Mohsen Jadidi, Mathieu Génois, and Markus Strohmaier. 2017. "Poster on (Don’t) Mention the War: A Comparison of Wikipedia and Britannica Articles on National Histories." The 1st European Symposium on Societal Challenges in Computational Social Science, 2017: Inequality and Imbalance, European Symposium Series on Societal Challenges in Computational Social Science, 2017-11-16.
  • Jadidi, Mohsen, Fariba Karimi, Haiko Lietz, and Claudia Wagner. 2017. "Gender disparities in science? Dropout, productivity, collaborations and success of male and female computer scientists." 1st European Symposium on Societal Challenges in Computational Social Science, London, 2017-11-17.
  • Posch, Lisa, Arnim Bleier, Fabian Flöck, and Markus Strohmaier. 2017. A Cross-Country Comparison of Crowdworker Motivations. https://arxiv.org/pdf/1711.03115.pdf.
  • Sheikbahaee, Zahra. 2017. "Photometric calibration of the COMBO-17 survey with the Softassign Procrustes Matching method." Monthly Notices of the Royal Astronomical Society 471 (3): 3443–3455. doi: https://doi.org/10.1093/mnras/stx1810.
  • Zagovora, Olga. 2017. "Do Wikipedia science articles reflect on state-of-the-art research? Study of Wikipedia-metrics." WikiCite Conference 2017, 2017-05-24. doi: https://doi.org/10.5281/zenodo.1037409. https://www.youtube.com/watch?v=JUFuE-AuJhw&list=PLs_yuNHsnUIcoozR7cZeg_YTzRVqEmVz1&index=3.
  • Kinder-Kurlanda, Katharina E., Katrin Weller, Wolfgang Zenk-Möltgen, Jürgen Pfeffer, and Fred Morstatter. 2017. "Archiving Information from Geotagged Tweets to Promote Reproducibility and Comparability in Social Media Research." Big Data & Society 4 (2): 1-14. doi: https://doi.org/10.1177/2053951717736336.
  • Weller, Katrin, and Katharina E. Kinder-Kurlanda. 2017. "To Share or Not to Share? Ethical Challenges in Sharing Social Media-based Research Data." In Internet Research Ethics for the Social Age, edited by Michael Zimmer, and Katharina E. Kinder-Kurlanda, 115-129. New York u.a.: Peter Lang.
  • Sahraoui, Ameni, and Rim Faiz. 2017. "Time-sensitivity for Personalized Search." In 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), 585 - 592 . IEEE. doi: https://doi.org/10.1109/AICCSA.2017.77.
  • Sahraoui, Ameni, Mohand Boughanem, and Rim Faiz. 2014. "Time-Sensitive User Profile for Optimizing Search Personalization." In UAMP 2014: User Modeling, Adaptation, and Personalization, edited by Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, and Geert-Jan Houben, Lecture Notes in Computer Science 8538, 111-121. Berlin: Springer. doi: https://doi.org/10.1007/978-3-319-08786-3_10. https://link.springer.com/chapter/10.1007/978-3-319-08786-3_10.
  • Sahraoui, Ameni, Rami Belkaroui, Dhouha Jemal, Haithem Ghorbel, Rim Faiz, and Ines Hammami Abid. 2016. "Towards Improving e-Government Services Using Social Media-Based Citizen's Profile Investigation." In ICEGOV 2015-16: International Conference on Theory and Practice of Electronic Governance , 187-190. New York: ACM. https://dl.acm.org/citation.cfm?id=2910029.
  • Sahraoui, Ameni, Mohand Boughanem, and Rim Faiz. 2017. "Emphasizing Temporal-Based User Profile Modeling in the Context of Session Search." In SAC 2017: Symposium on Applied Computing, 925-930. New York: ACM. https://dl.acm.org/citation.cfm?id=3019693&dl=ACM&coll=DL&CFID=1014881853&CFTOKEN=27166143.
  • Sahraoui, Ameni, and Philipp Mayr. 2017. "Analysis of Footnote Chasing and Citation Searching in an Academic Search Engine." In Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017), edited by Philipp Mayr, Muthu Kumar Chandrasekaran, and Kokil Jaidka, 91–100. Aachen: RWTH Aachen. http://ceur-ws.org/Vol-1888/paper8.pdf.
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