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        <title>wangkongqiang@CASE 2025: Detection and Classifying Language and Targets of Hate Speech using Auxiliary Text Supervised Learning</title>
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            <title>Proceedings of the 8th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Texts</title>
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        <name type="personal">
            <namePart type="given">Ali</namePart>
            <namePart type="family">Hürriyetoğlu</namePart>
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        <name type="personal">
            <namePart type="given">Hristo</namePart>
            <namePart type="family">Tanev</namePart>
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        <name type="personal">
            <namePart type="given">Surendrabikram</namePart>
            <namePart type="family">Thapa</namePart>
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            <publisher>INCOMA Ltd., Shoumen, Bulgaria</publisher>
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    <abstract>Our team was interested in content classification and labeling from multimodal detection of Hate speech, Humor, and Stance in marginalized socio-political movement discourse. We joined the task: Subtask A-Detection of Hate Speech and Subtask B-Classifying the Targets of Hate Speech. In this two task, our goal is to assign a content classification label to multimodal Hate Speech. Detection of Hate Speech: The aim is to detect the presence of hate speech in the images. The dataset for this task will have binary labels: No Hate and Hate. Classifying the Targets of Hate Speech: Given that an image is hateful, the goal here is to identify the targets of hate speech. The dataset here will have four labels: Undirected, Individual, Community, and Organization. Our group used a supervised learning method and a text prediction model. The best result on the test set for Subtask-A and Subtask-B were F1 score of 0.6209 and 0.3453, ranking twentieth and thirteenth among all teams.</abstract>
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        <date>2025-09</date>
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            <start>62</start>
            <end>70</end>
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%0 Conference Proceedings
%T wangkongqiang@CASE 2025: Detection and Classifying Language and Targets of Hate Speech using Auxiliary Text Supervised Learning
%A Kongqiang, Wang
%A Peng, Zhang
%Y Hürriyetoğlu, Ali
%Y Tanev, Hristo
%Y Thapa, Surendrabikram
%S Proceedings of the 8th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Texts
%D 2025
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F kongqiang-peng-2025-wangkongqiang
%X Our team was interested in content classification and labeling from multimodal detection of Hate speech, Humor, and Stance in marginalized socio-political movement discourse. We joined the task: Subtask A-Detection of Hate Speech and Subtask B-Classifying the Targets of Hate Speech. In this two task, our goal is to assign a content classification label to multimodal Hate Speech. Detection of Hate Speech: The aim is to detect the presence of hate speech in the images. The dataset for this task will have binary labels: No Hate and Hate. Classifying the Targets of Hate Speech: Given that an image is hateful, the goal here is to identify the targets of hate speech. The dataset here will have four labels: Undirected, Individual, Community, and Organization. Our group used a supervised learning method and a text prediction model. The best result on the test set for Subtask-A and Subtask-B were F1 score of 0.6209 and 0.3453, ranking twentieth and thirteenth among all teams.
%U https://aclanthology.org/2025.case-1.7/
%P 62-70

Markdown (Informal)

[wangkongqiang@CASE 2025: Detection and Classifying Language and Targets of Hate Speech using Auxiliary Text Supervised Learning](https://aclanthology.org/2025.case-1.7/) (Kongqiang & Peng, CASE 2025)

• wangkongqiang@CASE 2025: Detection and Classifying Language and Targets of Hate Speech using Auxiliary Text Supervised Learning (Kongqiang & Peng, CASE 2025)

ACL

• Wang Kongqiang and Zhang Peng. 2025. wangkongqiang@CASE 2025: Detection and Classifying Language and Targets of Hate Speech using Auxiliary Text Supervised Learning. In Proceedings of the 8th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Texts, pages 62–70, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.