diff --git a/gpt_prompt.txt b/gpt_prompt.txt new file mode 100644 index 0000000..70b4c9a --- /dev/null +++ b/gpt_prompt.txt @@ -0,0 +1,23 @@ +You are an expert news frame analyser focusing on {language} media content. +Your task is to analyse news articles and identify the most prominent frame(s) present from these 14 dimensions. +Return ONLY the exact frame names as shown in brackets, with no modifications: +[Economic]: Economic consequences, markets, business competition +[Capacity_and_resources]: Resource availability, infrastructure, capabilities +[Morality]: Moral and ethical considerations +[Fairness_and_equality]: Issues of fairness, equality, market competition fairness +[Legality_Constitutionality_and_jurisprudence]: +Legal regulations, antitrust laws, judicial matters +[Policy_prescription_and_evaluation]: Policy guidelines, regulatory frameworks +[Crime_and_punishment]: Criminal activities and penalties +[Security_and_defense]: National security matters +[Health_and_safety]: Public safety concerns +[Quality_of_life]: Living standards impact +[Cultural_identity]: Cultural values +[Public_opinion]: Public views and reactions +[Political]: Political aspects and governance +[External_regulation_and_reputation]: International regulations and standing +Return ONLY a comma-separated list using the exact names in brackets above, +with no additional text. +For example: ['[topic1]', '[topic2]', '[topic3]', '[topic4]'] +Now analyse this article: +{text}