Gullal S. Cheema

Affiliations - TIB, L3S Research Center, Leibniz University Hannover

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Visual Analytics, TIB Lange Laube 28, 30159, Hannover, Germany

I am a fourth year PhD student at Leibniz University Hannover, Germany and work as a researcher in the Fake Narratives project. Prior to this, I was a MSCA fellow and worked on one of the projects in CLEOPATRA ITN. I am employed as a research assistant at Visual Analytics Group, TIB and advised by Dr. Ralph Ewerth. I closely collaborate with Dr. Sherzod Hakimov (Now at University of Potsdam), Dr. Eric Müller-Budack and Christian Otto. My current work and research revolves around interdisciplinary topics like deep/machine learning, multimodality with focus on Computer Vision and NLP, semiotics and digital humanities.

My research on multimodality spans across challenging applications like claim, hate-speech, sentiment and out-of-context media detection. My thesis focuses on multimodal alignment, cross-modal relations and semiotics in the context of multimodal media content in the news domain.

news

Jul 16, 2023 Call for papers! Workshop proposal accepted in CIKM 2023. MUWS 2023 - The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. Deadline: 18th August, 2023
Jun 22, 2023 Dataset paper of global news coverage on Russo-Ukrainian conflict: 1.5 million tweets from Feb 2022 to May 2023, 3000+ news twitter handles and 60 languages. Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict
May 10, 2023 End of the evaluation cycle on Checkthat! Lab at CLEF 2023. Task-1 on unimodal and multimodal checkworthiness estimation received submissions from 14 teams. Team submission papers, task and lab overview papers to be out in July.
Apr 14, 2023 Gave a talk on multimodal sentiment analysis and claim detection on social media @BreGroMM (THE BREMEN-GRONINGEN ONLINE WORKSHOPS ON MULTIMODALITY) [Program] [Abstract]
Mar 22, 2023 Journal paper accepted in Frontiers in Artificial Intelligence - Language and Computation. Understanding Image-Text Relations and News Values for Multimodal News Analysis
Jan 8, 2023 Organizing subtask-1A on claim detection in CheckThat! 2023 - Registration, Data and Code, Paper
Nov 16, 2022 Collaborative paper on sentiment detection for analysis of multilingual news coverage is available now. Combining sentiment analysis classifiers to explore multilingual news articles covering London 2012 and Rio 2016 Olympics

selected publications

  1. Frontiers
    Understanding Image-Text Relations and News Values for Multimodal News Analysis
    Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack, and 3 more authors
    Frontiers in Artificial Intelligence 2023
  2. NAACL
    MM-Claims: A Dataset for Multimodal Claim Detection in Social Media
    Gullal S. Cheema, Sherzod Hakimov, Abdul Sittar, and 3 more authors
    Jul 2022
  3. BIGMM
    Semi-supervised clustering with neural networks
    Ankita Shukla, Gullal S. Cheema, and Saket Anand
    Jul 2020
  4. ECML PKDD
    Automatic detection and recognition of individuals in patterned species
    Gullal S. Cheema, and Saket Anand
    Jul 2017