Gautam Kishore Shahi | Team of the Research Group Digital Communication and Transformation

Gautam Shahi

PhD StudentGautam Kishore Shahi, M.Sc.

Address : Forsthausweg 2, 47057 Duisburg
Office : LE 312
Email : gautam.shahi@uni-due.de

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Research Interest

  • Web Science
  • Data science
  • Social Media Analytics

Academic Qualification

since 06/2019 PhD Student in the Research Training Group User-Centered Social Media , Digital Communication and Transformation (Prof. Dr. Stieglitz), University of Duisburg-Essen
09/2016 - 03/2019 MSc in Computer Science, 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 BTech in Information Technology, BIT Sindri , India

Professional background

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

Awards

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 ), Hanover, Germany, 30th July to 4th August 2018.

Publications

Conference contributions 

  • Shahi, GK, Tsoplefack, WK (2022). Mitigating Harmful Content on Social Media Using An Interactive User Interface. SocInfo 2022. Lecture Notes in Computer Science LNCS, vol . Springer, Cham. 
  • R ̈ochert, D., Shahi, GK, Neubaum, G., Stieglitz, S. (2022, May). Political Polarization in Times of Crisis: Ideological Bias of News Coverage of the COVID-19 Pandemic on YouTube. At 72nd Annual ICA Conference
  • Shahi, GK, Clausen, S., & Stieglitz, S. (2022). Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic.
  • Shahi, GK, & Majchrzak, TA (2021). Exploring the Spread of COVID-19 Misinformation on Twitter. EasyChair Preprint, (6009).
  • Shahi, GK, Majchrzak, TA (2022). AUSED: An Annotation Framework of Multimodal Social Media Data. Intelligent Technologies and Applications. INTAP 2021. Communications in Computer and Information Science, vol 1616. Springer, Cham.
  • Hernandez-Bocanegra DC, Borchert A, Brünker F, Shahi GK, & 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 GK, Gaffney D, & Hale SA (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, GK, 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, GK, Dirkson, A, & Majchrzak, TA (2021). An exploratory study of covid-19 misinformation on twitter. Online social networks and media, 22, 100104.