MBZUAI 2023 graduate Muhammad Umar is researching propaganda detection in low-resource, code-switched languages like Roman Urdu. His master's thesis focuses on detecting propaganda techniques in social media text using deep learning models. Umar aims to submit a paper on his findings to the EMNLP 2023 conference. Why it matters: This research addresses the under-explored area of propaganda detection in low-resource languages, which is crucial for combating misinformation in bilingual communities.
This paper introduces a new task: detecting propaganda techniques in code-switched text. The authors created and released a corpus of 1,030 English-Roman Urdu code-switched texts annotated with 20 propaganda techniques. Experiments show the importance of directly modeling multilinguality and using the right fine-tuning strategy for this task.
The paper introduces MultiProSE, the first multi-label Arabic dataset for propaganda, sentiment, and emotion detection. It extends the existing ArPro dataset with sentiment and emotion annotations, resulting in 8,000 annotated news articles. Baseline models, including GPT-4o-mini and BERT-based models, were developed for each task, and the dataset, guidelines, and code are publicly available. Why it matters: This resource enables further research into Arabic language models and a better understanding of opinion dynamics within Arabic news media.
This paper describes the Nexus team's participation in the ArAIEval shared task focused on detecting propaganda and disinformation in Arabic. The team fine-tuned transformer models and experimented with zero- and few-shot learning using GPT-4. Nexus's system achieved 9th place in subtask 1A and 10th place in subtask 2A. Why it matters: The work contributes to the important goal of automatically identifying and mitigating the spread of disinformation in Arabic content, which is critical for maintaining societal trust and informed public discourse.
Microsoft's official blog outlines projections for the state of global AI diffusion by 2026, detailing expected trends in enterprise adoption and societal integration across various industries. The analysis likely discusses key factors influencing AI's spread, such as data availability, infrastructure development, and the evolving talent landscape. It also probably addresses the transformative potential of AI while highlighting challenges related to ethical governance and equitable access to advanced technologies. Why it matters: This analysis provides a significant global perspective on future AI adoption, offering insights that can inform strategic planning for governments and businesses in the Middle East looking to develop their AI ecosystems.
The article from The National discusses geopolitical dynamics related to a hypothetical conflict with Iran and its potential impact on the UAE's strategic outlook. It asserts that such a conflict would not alter the fundamental principles guiding the UAE's policies and identity. The commentary offers an analysis of regional stability and the UAE's resilience in the face of external pressures. Why it matters: This geopolitical analysis falls outside the scope of AI news and research, offering no direct relevance to advancements or developments in artificial intelligence within the Middle East.
The UAE government has issued a warning to the public regarding the dangers of misleading AI-generated videos, particularly those used to spread rumors and false information. Authorities emphasized the importance of verifying the credibility of video content before sharing it on social media. The warning highlights potential legal consequences for individuals involved in creating or disseminating such content. Why it matters: This proactive stance reflects growing concerns in the UAE about the misuse of AI-driven technologies and its commitment to combatting disinformation.
The UAE is launching an initiative to train young Emiratis as 'industrial storytellers,' aiming to develop a specialized workforce capable of communicating compelling narratives about the nation's industrial sector. This program will equip participants with skills to create engaging content and effectively promote industrial advancements. The initiative is designed to enhance national talent in strategic communication and foster deeper engagement with critical economic sectors. Why it matters: This program underscores the UAE's commitment to developing a highly skilled local workforce, capable of leveraging modern communication techniques, potentially including digital and AI-driven tools, to highlight its industrial growth and attract investment.