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Botometer 101: social bot practicum for computational social scientists.

Kai-Cheng Yang1, Emilio Ferrara2, Filippo Menczer1

  • 1Observatory on Social Media, Indiana University Bloomington, Bloomington, IN 47408 USA.

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|August 29, 2022
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Summary
This summary is machine-generated.

This tutorial introduces Botometer, a tool for detecting social bots on Twitter. It helps researchers easily identify and handle bots in social media data for more reliable studies.

Keywords:
Bot detectionBotometerSocial botsTwitter

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Area of Science:

  • Computer Science
  • Social Media Analysis
  • Computational Social Science

Background:

  • Social bots significantly impact online platforms, influencing discussions on critical topics like elections and public health.
  • Deceptive bots pose a threat to constructive information exchange, necessitating effective detection methods.
  • Researchers require accessible and reliable tools to manage social media data containing bots.

Purpose of the Study:

  • To provide an introductory tutorial on Botometer, a public bot detection tool for Twitter.
  • To guide users, particularly those new to programming and machine learning, in utilizing Botometer.
  • To demonstrate practical application through a case study and offer best practices for Botometer usage.

Main Methods:

  • Introduction to the functionality and working principles of Botometer.
  • Explanation of various access methods for the Botometer tool.
  • Presentation of a case study with accompanying code for practical demonstration.

Main Results:

  • Botometer offers a user-friendly approach to identifying social bots on Twitter.
  • The provided case study serves as a template for researchers' own data analysis.
  • Recommended practices for effective and ethical use of Botometer are discussed.

Conclusions:

  • Botometer is a valuable and accessible tool for researchers studying social media bots.
  • Understanding and utilizing bot detection tools like Botometer is crucial for accurate social media research.
  • The tutorial empowers researchers to confidently employ Botometer in their studies.