Multilingual Narrative Tracking in the News

Large Language Models (LLMs) have revolutionized various tasks such as content generation and customer service chatbots, but ensuring their unbiased knowledge of current news is crucial for reliable responses. Multilingual narrative tracking helps achieve this by analyzing how a narrative is reported in terms of volume and sentiment across different languages and countries. This process involves tracking narratives, which are sequences of interconnected events, such as the Barbie Movie Campaign narrative with its diverse coverage and sentiments across various regions and languages. LLMs should be exposed to diverse news across languages, countries, and other demographics to avoid biased reporting. Multilingual narrative tracking can increase transparency and ensure global perspectives and comprehensive event coverage by including voices from different limits and cultural backgrounds.