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 …
Explainable hybrid word representations for sentiment analysis of financial news
Due to the increasing interest of people in the stock and financial market, the sentiment
analysis of news and texts related to the sector is of utmost importance. This helps the …
analysis of news and texts related to the sector is of utmost importance. This helps the …
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 …
A multi-modal dataset for hate speech detection on social media: Case-study of russia-ukraine conflict
Hate speech consists of types of content (eg text, audio, image) that express derogatory
sentiments and hate against certain people or groups of individuals. The internet …
sentiments and hate against certain people or groups of individuals. The internet …
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 …
Arc-nlp at multimodal hate speech event detection 2023: Multimodal methods boosted by ensemble learning, syntactical and entity features
Text-embedded images can serve as a means of spreading hate speech, propaganda, and
extremist beliefs. Throughout the Russia-Ukraine war, both opposing factions heavily relied …
extremist beliefs. Throughout the Russia-Ukraine war, both opposing factions heavily relied …
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 …
Nehate: Large-scale annotated data shedding light on hate speech in nepali local election discourse
The use of social media during election campaigns has become increasingly popular.
However, the unbridled nature of online discourse can lead to the propagation of hate …
However, the unbridled nature of online discourse can lead to the propagation of hate …
LowResourceNLU at BLP-2023 Task 1 & 2: Enhancing Sentiment Classification and Violence Incitement Detection in Bangla Through Aggregated Language Models
H Veeramani, S Thapa… - BLP 2023-1st …, 2023 - researchonline.jcu.edu.au
Violence incitement detection and sentiment analysis hold significant importance in the field
of natural language processing. However, in the case of the Bangla language, there are …
of natural language processing. However, in the case of the Bangla language, there are …
Ometeotl@ multimodal hate speech event detection 2023: Hate speech and text-image correlation detection in real life memes using pre-trained bert models over text
J Armenta-Segura, CJ Núnez-Prado… - Proceedings of the …, 2023 - aclanthology.org
Hate speech detection during times of war has become crucial in recent years, as evident
with the recent Russo-Ukrainian war. In this paper, we present our submissions for both …
with the recent Russo-Ukrainian war. In this paper, we present our submissions for both …