The insights from this study can be applied to detect conspiracy theories in other languages and on different social media platforms by leveraging the methodologies and models developed in the research. For detecting conspiracy theories in other languages, researchers can adapt the supervised fine-tuning and prompt-based approaches used in this study to train models on datasets in different languages. They can utilize pre-trained language models like BERT and GPT, fine-tune them on language-specific datasets, and experiment with prompt-based classification to detect conspiracy theories effectively.
When it comes to different social media platforms, the models and approaches developed in this study can be tailored to the specific characteristics and content of each platform. Researchers can collect data from platforms like Twitter, Facebook, or Reddit, annotate them for conspiracy theories, and train models accordingly. They can also explore the use of different prompts and definitions to optimize model performance on diverse social media platforms. By adapting and fine-tuning the models based on the unique features of each platform, researchers can enhance the detection of conspiracy theories across various languages and social media channels.