Multimodal Human Understanding for the Web and Social Media Call for Papers

    MUWS 2024 - 
The 3rd International Workshop on 
Multimodal Human Understanding for the Web and Social Media
    co-located with 
International Conference on Multimedia Retrieval (ICMR) 2024 in Phuket, Thailand.

    June 10 2024, Phuket, Thailand
    More Info:

    Aim and Scope

    Multimodal human understanding and analysis is an emerging
 research area that cuts through several disciplines like Computer
 Vision, Natural Language Processing (NLP), Speech Processing,
 Human-Computer Interaction, and Multimedia. Several multimodal
 learning techniques have recently shown the benefit of combining
 multiple modalities in image-text, audio-visual and video
 representation learning and various downstream multimodal tasks. At
 the core, these methods focus on modelling the modalities and their
 complex interactions by using large amounts of data, different loss
 functions and deep neural network architectures. However, for many
 Web and Social media applications, there is the need to model the
 human, including the understanding of human behaviour and
 perception. For this, it becomes important to consider
 interdisciplinary approaches, including social sciences, semiotics
 and psychology. The core is understanding various cross-modal
 relations, quantifying bias such !  as social biases, and the
 applicability of models to real-world problems. Interdisciplinary
 theories such as semiotics or gestalt psychology can provide
 additional insights and analysis on perceptual understanding through
 signs and symbols via multiple modalities. In general, these theories
 provide a compelling view of multimodality and perception that can
 further expand computational research and multimedia applications on
 the Web and Social media.

    The theme of the MUWS workshop, multimodal human understanding,
    includes various interdisciplinary challenges related to social
    bias analyses, multimodal representation learning, detection of
    human impressions or sentiment, hate speech, sarcasm in multimodal
    data, multimodal rhetoric and semantics, and related topics. The
    MUWS workshop will be an interactive event and include keynotes by
    relevant experts, poster and demo sessions, research presentations
    and discussion.

    Particular areas of interest include, but are not limited to:

        - Modeling human impressions in the context of the Web and Social Media
        - Cross-modal and semantic relations
        - Incorporating multi-disciplinary theories such as Semiotics or Gestalt-Theory into multimodal analyses
        - Measuring and analyzing biases such as cultural bias, social bias, multilingual bias, and related topics in the context of the Web and Social Media
        - Multimodal human perception understanding
        - Multimodal sentiment/emotion/sarcasm recognition
        - Multimodal hate speech detection
        - Multimodal misinformation detection
        - Multimodal content understanding and analysis
        - Multimodal rhetoric in online media

    Submission Instructions

        We welcome contributions from 4 pages (short papers) to 8
        pages (long papers) that address the topics of
        interest. Papers should follow the ACM proceedings style. All
        submissions must be written in English and must be formatted
        according to the proceedings style. The workshop proceedings
        will be part of the ICMR Proceedings.

        Submission Page:

    Important Dates
        Submission deadline: April 7th, 2024
        Paper notification: April 21st, 2024
        Workshop date: June 10th, 2024

    Organizing Committee

        Marc A. Kastner, Kyoto University, Kyoto, Japan
        Gullal S. Cheema, TIB - Leibniz Information Centre for Science and Technology, Hannover, Germany
        Sherzod Hakimov, University of Potsdam, Potsdam, Germany
        Noa Garcia, Osaka University, Osaka, Japan


        All questions about the workshop should be emailed to: 
muws24 (at sign)