Crisishatemm: Multimodal analysis of directed and undirected hate speech in text-embedded images from russia-ukraine conflict
Text-embedded images are frequently used on social media to convey opinions and
emotions, but they can also be a medium for disseminating hate speech, propaganda, and …
emotions, but they can also be a medium for disseminating hate speech, propaganda, and …
Challenges and applications of automated extraction of socio-political events from text (CASE 2023): Workshop and shared task report
We provide a summary of the sixth edition of the CASE workshop that is held in the scope of
RANLP 2023. The workshop consists of regular papers, three keynotes, working papers of …
RANLP 2023. The workshop consists of regular papers, three keynotes, working papers of …
Recent advances in hate speech moderation: Multimodality and the role of large models
In the evolving landscape of online communication, moderating hate speech (HS) presents
an intricate challenge, compounded by the multimodal nature of digital content. This …
an intricate challenge, compounded by the multimodal nature of digital content. This …
Chunav: Analyzing hindi hate speech and targeted groups in indian election discourse
In the ever-evolving landscape of online discourse and political dialogue, the rise of hate
speech poses a significant challenge to maintaining a respectful and inclusive digital …
speech poses a significant challenge to maintaining a respectful and inclusive digital …
Uncovering political hate speech during indian election campaign: A new low-resource dataset and baselines
The detection of hate speech in political discourse is a critical issue, and this becomes even
more challenging in low-resource languages. To address this issue, we introduce a new …
more challenging in low-resource languages. To address this issue, we introduce a new …
Social-llm: Modeling user behavior at scale using language models and social network data
The proliferation of social network data has unlocked unprecedented opportunities for
extensive, data-driven exploration of human behavior. The structural intricacies of social …
extensive, data-driven exploration of human behavior. The structural intricacies of social …
Multimodal Hate Speech Event Detection-Shared Task 4
Ensuring the moderation of hate speech and its targets emerges as a critical imperative
within contemporary digital discourse. To facilitate this imperative, the shared task …
within contemporary digital discourse. To facilitate this imperative, the shared task …
Identifying creative harmful memes via prompt based approach
The creative nature of memes has made it possible for harmful content to spread quickly and
widely on the internet. Harmful memes can range from spreading hate speech promoting …
widely on the internet. Harmful memes can range from spreading hate speech promoting …
Extended multimodal hate speech event detection during russia-ukraine crisis-shared task at case 2024
Addressing the need for effective hate speech moderation in contemporary digital discourse,
the Multimodal Hate Speech Event Detection Shared Task made its debut at CASE 2023, co …
the Multimodal Hate Speech Event Detection Shared Task made its debut at CASE 2023, co …
Invasion@ Ukraine: providing and describing a twitter streaming dataset that captures the outbreak of war between Russia and Ukraine in 2022
JS Pohl, S Markmann, D Assenmacher… - Proceedings of the …, 2023 - ojs.aaai.org
Social media can be a mirror of human interaction, society, and historic disruptions. Their
reach enables the global dissemination of information in the shortest possible time and …
reach enables the global dissemination of information in the shortest possible time and …