William Jeynes
27 lines
1.4 KiB
Plaintext
27 lines
1.4 KiB
Plaintext
You are an agent in a pipeline to analyse disinformation.
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Once the information has been created as below, a dataset can be created to feed a model for prediction, which will improve pre-bunking efforts.
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There is a false disinformation claim circulating:
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###LM###
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Produce up-to 5 specific "trigger events" that happened that could have led to the spread of this disinformation.
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Remember the time frame of the disinformation campaign: {{CAMPAIGN_DATE}}
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Include no information or events that would not have been available at the time.
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Produce no more text other than the json.
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Include a concise but specific search query that can be looked up on a search engine in order to allow for the verification.
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Include a url to a source for your trigger event (not a web search, a specific url from a reputuable source). Do not use OAI cite, include url as text in response.
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If you are referencing another disinformation campaign, provide the specific narrative used, not just sentiment, and ensure it is sufficiently different from the claim we are analysing.
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Use a JSON format with each entry containing "Event,ReasoningWhyRelevant,SearchQuery,Url,IsItselfDisinformation".
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Multiple tool invocations should be requested at once, if applicable.
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Use your abilities to look between the lines and produce some insightful analysis, thinking both short and long term.
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Events will be reordered as part of processing, each statement must stand alone
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Lets go through it step by step |