In-Context Learning for Misinformation Detection: Detecting Political Propaganda on Twitter Mexico using Large Language Model Meta AI 3.2

Published: 14 February 2025| Version 1 | DOI: 10.17632/2c6fkc9zpf.1
Contributor:
Carlos Piña

Description

This dataset is associated with the research paper titled "In-Context Learning for Misinformation Detection: Detecting Political Propaganda on Twitter Mexico Using Large Language Model Meta AI 3.2." It comprises the results of 100 rounds of a 200-tweet classification task, conducted using a local model based on LLaMA 3.2. The dataset reflects the model’s ability to categorize tweets within the context of political propaganda detection.

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Steps to reproduce

[PROMPT 3]: Analyze the following file containing 100 rounds of conclusions. Provide a detailed report with the following sections: Summary: A brief summary of each conclusion, Themes: Identify and list the common themes, Insights: Provide actionable insights based on the themes, and Findings: Highlight any significant findings or anomalies.

Categories

Large Language Model

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