{"id":32316,"date":"2026-01-21T17:01:43","date_gmt":"2026-01-21T17:01:43","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/multiprop-framework-ensemble-models-for-enhanced-cross-lingual-propaganda-detection-in-social-media-and-news-using-data-augmentation-text-segmentation-and-meta-learning\/"},"modified":"2026-06-08T13:19:49","modified_gmt":"2026-06-08T13:19:49","slug":"multiprop-framework-ensemble-models-for-enhanced-cross-lingual-propaganda-detection-in-social-media-and-news-using-data-augmentation-text-segmentation-and-meta-learning","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/multiprop-framework-ensemble-models-for-enhanced-cross-lingual-propaganda-detection-in-social-media-and-news-using-data-augmentation-text-segmentation-and-meta-learning\/","title":{"rendered":"{MultiProp} Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning"},"content":{"rendered":"<p>Propaganda, a pervasive tool for influencing public opinion, demands robust automated detection systems, particularly for underresourced languages. Current efforts largely focus on well-resourced languages like English, leaving significant gaps in languages such as Arabic. This research addresses these gaps by introducing {MultiProp} Framework, a crosslingual meta-learning framework designed to enhance propaganda detection across multiple languages, including Arabic, German, Italian, French and English. We constructed a multilingual dataset using data translation techniques, beginning with Arabic data from {PTC} and {WANLP} shared tasks, and expanded it with translations into German Italian and French, further enriched by the {SemEval}23 dataset. Our proposed framework encompasses three distinct models: {MultiProp}-Baseline, which combines ensembles of pre-trained models such as {GPT}-2, {mBART}, and {XLM}-{RoBERTa}; {MultiProp}-{ML}, designed to handle languages with minimal or no training data by utilizing advanced meta-learning techniques; and {MultiProp}-Chunk, which overcomes the challenges of processing longer texts that exceed the token limits of pre-trained models. Together, they deliver superior performance compared to state-of-the-art methods, representing a significant advancement in the field of crosslingual propaganda detection.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Propaganda, a pervasive tool for influencing public opinion, demands robust automated detection systems, particularly for underresourced languages. Current efforts largely focus on well-resourced languages like English, leaving significant gaps in languages such as Arabic. This research addresses these gaps by introducing {MultiProp} Framework, a crosslingual meta-learning framework designed to enhance propaganda detection across multiple languages, including Arabic, German, Italian, French and English. We constructed a multilingual dataset using data translation [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[32],"class_list":["post-32316","publication","type-publication","status-publish","hentry","publication-type-inproceedings"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32316\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32316"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}