Hinghlish News Delivery

Hinglish news delivery, encompassing both text and video formats, presents unique challenges for automated analysis, particularly regarding fake news detection and opinion identification. Current research focuses on developing multimodal models, often employing deep learning architectures like graph autoencoders, contrastive learning, and attention-based LSTMs and CNNs, to analyze content, social context, and user interactions for improved accuracy in identifying misinformation and detecting biased reporting by news anchors. These advancements are crucial for mitigating the spread of false narratives and promoting responsible news consumption, with implications for social media platforms, news organizations, and public discourse.