Challenges and applications of automated extraction of socio-political events from text (case 2021): Workshop and shared task report
This workshop is the fourth issue of a series of workshops on automatic extraction of socio-
political events from news, organized by the Emerging Market Welfare Project, with the …
political events from news, organized by the Emerging Market Welfare Project, with 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 …
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 …
Analyzing the dynamics of climate change discourse on twitter: A new annotated corpus and multi-aspect classification
The discourse surrounding climate change on social media platforms has emerged as a
significant avenue for understanding public sentiments, perspectives, and engagement with …
significant avenue for understanding public sentiments, perspectives, and engagement with …
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 …
MasonPerplexity at Multimodal Hate Speech Event Detection 2024: Hate Speech and Target Detection Using Transformer Ensembles
The automatic identification of offensive language such as hate speech is important to keep
discussions civil in online communities. Identifying hate speech in multimodal content is a …
discussions civil in online communities. Identifying hate speech in multimodal content is a …
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 …
A comparison of text preprocessing techniques for hate and offensive speech detection in Twitter
A Glazkova - Social Network Analysis and Mining, 2023 - Springer
Preprocessing is a crucial step for each task related to text classification. Preprocessing can
have a significant impact on classification performance, but at present there are few large …
have a significant impact on classification performance, but at present there are few large …
Shielding against online harm: A survey on text analysis to prevent cyberbullying
Cyberbullying poses a digital threat to society. In this survey, we explain what cyberbullying
is and its various forms. We focus on social media platforms and instant messaging apps …
is and its various forms. We focus on social media platforms and instant messaging apps …