Prompt for analysis of manipulations in the news
📂 Business Planning
👤 trading-soft
Product Description
This is the industrial prompt in English, designed to identify various manipulative trends in the news.
The response of the neural network (which will be obtained when sending this industrial plate) will be in Russian and correspond to the structure specified in the section "output structure (in Russian)" industrial ". It will contain specific examples of manipulative trends from fresh news, hypotheses about their goals and practical recommendations.
The response of the neural network (which will be obtained when sending this industrial plate) will be in Russian and correspond to the structure specified in the section "output structure (in Russian)" industrial ". It will contain specific examples of manipulative trends from fresh news, hypotheses about their goals and practical recommendations.
Additional Information
Explanation of Prompt:
* Focus on tactics: Prompt clearly asks AI to look not just “bad news”, but specific manipulative patterns (surge, emotions, the effect of joining, simplification, ignoring counterarguments).
* Specifics: examples (headlines/quotes with sources) and the time frame are required.
* Hypotheses of goals: AI must try to understand who is beneficial if the manipulation works based on context and patterns, and not on speculations.
* Practical recommendations: a key exit is not just a statement of the fact of manipulation, but what to do to a person who has encountered such news. Recommendations are tied to identified trends.
* Regional division: a clear division into a global and ru-segment for more relevant analysis.
* Caution of the formulations: the instruction to use “possible”, “supposedly” helps to avoid categorical and potentially false statements.
* Temporary landmark: the focus is indicated for the last 1-3 months as the optimal balance between the relevance and the presence of the trend.
* Focus on tactics: Prompt clearly asks AI to look not just “bad news”, but specific manipulative patterns (surge, emotions, the effect of joining, simplification, ignoring counterarguments).
* Specifics: examples (headlines/quotes with sources) and the time frame are required.
* Hypotheses of goals: AI must try to understand who is beneficial if the manipulation works based on context and patterns, and not on speculations.
* Practical recommendations: a key exit is not just a statement of the fact of manipulation, but what to do to a person who has encountered such news. Recommendations are tied to identified trends.
* Regional division: a clear division into a global and ru-segment for more relevant analysis.
* Caution of the formulations: the instruction to use “possible”, “supposedly” helps to avoid categorical and potentially false statements.
* Temporary landmark: the focus is indicated for the last 1-3 months as the optimal balance between the relevance and the presence of the trend.
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