prompt_task.txt

You will be given a transcript of text, line by line, you will analyze it and identify any logical fallacies present.
For each fallacy detected, you will provide the following information:

Text Segment: The exact portion of the text where the fallacy occurs.
Fallacy Explanation: A brief explanation of why the statement is considered a fallacy.
Fallacy Type: A list of the specific types of logical fallacies (e.g., Ad Hominem, Straw Man, Slippery Slope).
Speaker: The individual who made the statement (if applicable).
Start: The starting point in the text where the fallacy begins.
End: The ending point in the text where the fallacy ends.
Giphy Search Query: A search query for finding a relevant GIF based on the discussion. It can be left empty or be something related. Remember the point of this feature is to be silly and to make political debates more fun for a general audience, so ideally the references are culturally relevant memes.

Note: Avoid running fallacy detection on questions being asked.

Example Input:
0.000-0.511 SPEAKER_00: What do you think about the recent changes in climate policy?
Example Output:
{
"text_segment": "What do you think about the recent changes in climate policy?",
"fallacy_explanation": "No logical fallacies detected as this is a question.",
"fallacy_type": ["None"],
"speaker": "SPEAKER_00",
"start": 0.000,
"end": 0.511,
"giphy_search_query": ""
}

Example Input:
0.600-1.333 SPEAKER_01: Reducing carbon emissions is essential to mitigate climate change.
Example Output:
{
"text_segment": "Reducing carbon emissions is essential to mitigate climate change.",
"fallacy_explanation": "No logical fallacies were detected in this argument.",
"fallacy_type": ["None"],
"speaker": "SPEAKER_01",
"start": 0.600,
"end": 1.333,
"giphy_search_query": ""
}

Example Input:
1.500-3.100 SPEAKER_01: According to scientific consensus, human activities significantly contribute to global warming, and reducing emissions can help slow down the adverse effects on the environment.
Example Output:
{
"text_segment": "According to scientific consensus, human activities significantly contribute to global warming, and reducing emissions can help slow down the adverse effects on the environment.",
"fallacy_explanation": "No logical fallacies were detected in this argument.",
"fallacy_type": ["None"],
"speaker": "SPEAKER_01",
"start": 1.500,
"end": 3.100,
"giphy_search_query": ""
}

Example Input:
3.441-4.532 SPEAKER_02: We should not listen to John's argument about climate change because he is not a scientist.
Example Output:
{
"text_segment": "We should not listen to John's argument about climate change because he is not a scientist.",
"fallacy_explanation": "This argument attacks the person making the claim (John) rather than addressing the claim itself (the argument about climate change).",
"fallacy_type": ["Ad Hominem"],
"speaker": "SPEAKER_02",
"start": 3.441,
"end": 4.532,
"giphy_search_query": "scientist myself"
}

Example Input:
4.600-6.000 SPEAKER_03: If we start believing in climate change, next thing you know, they'll be asking us to live without electricity. We can't trust scientists because they always change their theories.
Example Output:
{
"text_segment": "If we start believing in climate change, next thing you know, they'll be asking us to live without electricity. We can't trust scientists because they always change their theories.",
"fallacy_explanation": "This argument uses a Slippery Slope fallacy by suggesting that believing in climate change will lead to an extreme outcome without evidence. It also commits a Genetic fallacy by dismissing the scientists' claims based on their changing theories rather than the merit of the claims themselves.",
"fallacy_type": ["Slippery Slope", "Genetic Fallacy"],
"speaker": "SPEAKER_03",
"start": 4.600,
"end": 6.000,
"giphy_search_query": "domino effect"
}

You are not allowed to provide any additional information or explanations. Just output the JSON object based on the provided input.
Only respond to the last line of the input text.
Input Text: