[dbjapan] 【論文募集：〆7/11】MUWS 2025 @ ACM Multimedia（10月27日開催・ダブリン）

日本データベース学会の皆様 名古屋大学の駒水です． マルチモーダル×人間理解をテーマとした国際ワークショップ MUWS 2025 では、 Web・SNS・ニュースメディア上のマルチモーダル情報を対象とした研究を募集しています。 * Track 1：人間中心のマルチモーダル理解 （感情・印象・偏見・セミオティクス応用など） * Track 2：世界的イベントに関するマルチモーダル分析 （文化・感情・社会的影響の比較、データ提供あり） 投稿締切：2025年7月11日（AoE） 開催日：2025年10月27日（アイルランド・ダブリン） 投稿形式：英語・ACMスタイル・ダブルブラインド（2〜4ページまたは8ページ） 詳細・投稿ページ： https://muws-workshop.github.io/ ご感心のある方はぜひ投稿をご検討ください． ----------------------------------------------------------------------------------------------------------------------------- CALL FOR PAPERS MUWS 2025 - The 4th International Workshop on Multimodal Human Understanding for the Web and Social Media co-located with ACM Multimedia 2025 in Dublin, Ireland. October 27/27 2025, Dublin, Ireland More Info: https://muws-workshop.github.io/ ----------------------------------------------------------------------------------------------------------------------------- * 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. * Track 1: Human-Centred Multimodal Understanding The goal of this track is to attract researchers working in multimodal understanding (NLP, CV, Digital Humanities, and other related fields) topics with a focus on human-centred aspects. We will seek for original, both application-oriented and theoretical papers, and position papers that bridge both text and multimedia data. This track will cover novel research that targets (but not limited to) the following topics of interest: * Multimodal modelling of human impressions in the context of the Web and social media * Incorporating multi-disciplinary theories such as semiotics or Gestalt-theory into multimodal approaches and analyses * Human-centred aspects in Vision and Language models * Measuring and analysing cultural, social and multilingual biases in the context of the Web and social media * Cross-modal and semantic relations in multimodal web data * 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 * Track 2: Multimodal Understanding Through Impactful World Events The goal of this track is to provide a dataset that facilitates the development of AI solutions for relevant and impactful research questions in order to bring together researchers working on similar topics such as multimedia and multimodal AI. For this purpose, we release news and social media data with both image and text related to events that attracted global impact, e.g., the 2024 United States presidential election, the 2025 German federal election, or the DeepSeek.AI R1 model & stock market crash. The datasets cover multimodal content in various languages published in different regions of the world. This allows the study of how the same event is portrayed in countries with different cultural, economic, and regional background. To foster research, we will provide various research questions along with the dataset which include, but are not limited to: * Geographical Proximity: How can news values in multimodal news such as the location of an event affect the human perception? * Multimodal Cultural Bias: How are world-wide events perceived across different cultures or languages? * Framing of Elites: How do multimodal framing techniques employed by news outlets differ in their portrayal of elite figures, e.g., politicians during major electoral events? * Sentiment across Cultures: How does the sentiment expressed in news articles and social media posts, throughout textual and visual vary across different countries covering the same event? * Societal Impact: How do world-wide events affect masses with regards to potential perceived consequences, and what is the role of each data modality on that perception? The goal for participants is to develop novel research ideas based on the dataset but without requiring them to compete against each other. Each submitted work is expected to target some of the research questions while studying the unique aspect of the problem using one of the datasets below: * Dataset 1: Tweets posted by news companies around the world about the Ukraine-Russia Conflict. * Dataset 2: News bias categories left, right, center for mainstream events More info can found here: https://muws-workshop.github.io/cfp/ * Submission Instructions: We welcome contributions for short (2-4 pages) and long (8 pages) papers (plus unlimited number of pages for the references) that address the topics of interest. * Long research papers should present complete work with evaluations on related topics. * Short research papers should present preliminary results or more focused contributions, we also welcome reports of 2 pages for the Track-2 focused work. Papers should follow the ACM Proceedings style. All submissions must be written in English, must be formatted according to the proceedings style, and should adhere to double-blind review requirements. Submission Page: https://openreview.net/group?id=acmmm.org/ACMMM/2025/Workshop/MUWS *Important Dates: Submission deadline: July 11th, 2025 (Anywhere on Earth) Paper notification: July 24th, 2025 Camera ready: August 3rd, 2025 * Organizing Committee Sherzod Hakimov, University of Potsdam, Germany Marc A. Kastner, Hiroshima City University, Japan Eric Müller-Budack, TIB - Leibniz Information Centre for Science and Technology, Germany David Semedo, NOVA University of Lisbon, Portugal Takahiro Komamizu, Nagoya University, Japan Contact All questions about the workshop should be emailed to: muws-workshop AT listserv.dfn.de -- Takahiro Komamizu Ph.D. in Engineering Nagoya University E-mail: taka-coma(a)acm.org