Twitter Data Collection Script (MexPol.py) for Mexican Political Propaganda Analysis with Large Language Models

This Python script was developed to collect Twitter data during the 2018 Mexican presidential election campaign. It tracks mentions and tweets related to the main presidential candidates (@JoseAMeadeK, @RicardoAnayaC, @lopezobrador_, and @JaimeRdzNL) by filtering the Twitter stream API. The collected data includes tweet IDs, user screen names, URLs, follower counts, timestamps (both in UTC and Mexico City time), tweet content, source, geographical coordinates (when available), and user location information.

This script was created as part of the research project "In-Context Learning for Misinformation Detection: Detecting Political Propaganda on Twitter Mexico using Large Language Model Meta AI." The primary goal was to gather public Twitter data related to Mexican political discourse during the 2018 presidential election for subsequent analysis of misinformation patterns and political propaganda.

Data Privacy:
This script only collected tweets that were publicly accessible (i.e., those without privacy restrictions set by users). No private communications or protected tweets were accessed or stored.