Gautam Kishore Shahi | Team des Fachgebietes Digital Communication and Transformation

Wissenschaftlicher MitarbeiterGautam Kishore Shahi, M.Sc.

Address : Forsthausweg 2, 47057 Duisburg
Room : LE 312
Telephone : +49 203 379 4237
Mail : gautam.shahi@uni-due.de

 

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Forschungsinteressen

  • Fake news
  • User behaviors 
  • Social Media Analytics
  • Machine learning

Akademischer Werdegang

since 06/2019 PhD student in the Graduate College User-Centered Social Media , Chair for Digital Communication and Transformation with Prof. Dr. Stieglitz, University of Duisburg-Essen, Duisburg
09/2016 - 03/2019 Degree in Computer Science (M. Sc.), DISI , University of Trento, Italy
11/2017 - 02/2018 Exchange Program for Master Thesis, KEDRI , Auckland University of Technology, New Zealand
07/2017 - 10/2017 Research Internship at WEST , University of Koblenz-Landau
08/2011 - 05/2015 Studied Information Technology (BTech), BIT , Sindri, India

Beruflicher Werdegang

06/2015 - 09/2017 Assistant System Engineer, Tata Consultancy Services, India

Auszeichnungen

2018 Nominated for the best student paper award in the 25th International Conference on Neural Information Processing ( ICONIP 2018 ), Siem Reap, Cambodia, Dec 14-16, 2018.
2018 Honorary Mention (2nd Prize) for the Transport Ontology in Vocabulary-Carnival in SEMANTiCS 2018 , The Linked Data Conference 14th International Conference on Semantic Systems, Vienna, Austria, September 10-13, 2018.
2018 Best group work award at WSTNET Web Science Summer School 2018 ( WWSSS'18 ), Hannover, Germany, 30th July to 4th August 2018.

Publikationen (Only related to PhD topic)

Conference contributions 

  • R ̈ochert, D., Shahi, G. K., Neubaum, G., Stieglitz, S. (2022, May). Political Polarization in Times of Crisis: Ideological Bias of News Coverage of the COVID-19 Pandemic on YouTube. In 72nd Annual ICA Conference
  • Shahi, G. K., Clausen, S., & Stieglitz, S. (2022). Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic.
  • Shahi, G. K., & Majchrzak, T. A. (2021). Exploring the Spread of COVID-19 Misinformation on Twitter. EasyChair Preprint, (6009).
  • Shahi, G. K., Majchrzak, T. A (2021). Amused: an annotation framework of multi-modal social media data. arXiv preprint arXiv:2010.00502
  • Hernandez-Bocanegra, D. C., Borchert, A., Brünker, F., Shahi, G. K., & Ross, B. (2020, December). Towards a Better Understanding of Online Influence: Differences in Twitter Communication Between Companies and Influencers. In 31st Australasian Conference on Information Systems (p. 18). Association for Information Systems.
  • Shahi GK, Nandini D. FakeCovid - A Multilingual Cross-domain Fact Check News Dataset for COVID-19. arXiv preprint arXiv: 2006.11343. 2020 Jun 19. http://workshop-proceedings.icwsm.org/pdf/2020_14.pdf 

Journal Publications

  • Kazemi, A., Garimella, K., Shahi, G. K., Gaffney, D., & Hale, S. A. (2022). Research note: Tiplines to uncover misinformation on encrypted platforms: A case study of the 2019 Indian general election on WhatsApp. Harvard Kennedy School Misinformation Review.
  • Röchert, D., Shahi, G. K., Neubaum, G., Ross, B., & Stieglitz, S. (2021). The Networked Context of COVID-19 Misinformation: Informational Homogeneity on YouTube at the Beginning of the Pandemic. Online Social Networks and Media, 26, 100164.
  • Shahi, G. K., Dirkson, A., & Majchrzak, T. A. (2021). An exploratory study of covid-19 misinformation on twitter. Online social networks and media, 22, 100104.