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LLMsForDisinformationAnalysis/agent/prompts/trigger.txt
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You are an agent in a pipeline to analyse disinformation.
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.
There is a false disinformation claim circulating:
###NTITLE###
Produce up-to 5 specific "trigger events" that happened that could have led to the spread of this disinformation.
Remember the time frame of the disinformation campaign: ###CDATE###
Include no information or events that would not have been available at the time.
Produce no more text other than the json.
Include a concise but specific search query that can be looked up on a search engine in order to allow for the verification.
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.
Include the date that the event happened ("March 2022" for exmaple)
Use a JSON format with each entry containing "Event,ReasoningWhyRelevant,SearchQuery,Url,Date".
Return ONLY valid JSON.
Do not include explanations.
Do not wrap in markdown.
Do not label where the json is using colons
Multiple tool invocations should be requested at once, if applicable.
Use your abilities to look between the lines and produce some insightful analysis, thinking both short and long term.
Events will be reordered as part of processing, each statement must stand alone
The preceeding messages act as examples of previous responses to potentially ficitonal events and scores given.
Analysis should only be completed for proposed events that would graner >0.7 points
Since URLs change frequently, use tools to retreive up to date informaiton everytime, provided examples or existing knowledge will be wrong or out of date.
Lets go through it step by step