Sage Research Methods Video: Data Science, Big Data Analytics, and Digital Methods - An Introduction to Detecting Social Bots on Twitter With Botometer

Name: An Introduction to Detecting Social Bots on Twitter With Botometer
Uploaded: 2021-12-21
Duration: 9 min 14 s
Description: Kaicheng Yang, PhD candidate, Observatory on Social Media at Indiana University-Bloomington, discusses detecting social bots on Twitter with a Botometer, including what a Botometer is, what it does, and how the Botometer API works.

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Video Type: Tutorial

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  Yang, K. (Academic). (2022). An introduction to detecting social bots on Twitter with Botometer [Video]. Sage Research Methods. https://doi.org/10.4135/9781529602265
  
  Yang, Kaicheng. "An Introduction to Detecting Social Bots on Twitter With Botometer." In Sage Video. : SAGE Publications, Ltd., 2022. Video, 00:09:14. https://doi.org/10.4135/9781529602265.
  
  Yang, K., 2022. An Introduction to Detecting Social Bots on Twitter With Botometer, Sage Video. [Streaming Video] London: Sage Publications Ltd. Available at: <https://doi.org/10.4135/9781529602265 & gt; [Accessed 1 Dec 2023].
  
  Yang, Kaicheng. An Introduction to Detecting Social Bots on Twitter With Botometer. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 21 Dec 2021. doi: https://doi.org/10.4135/9781529602265. 1 Dec 2023.
  
  An Introduction to Detecting Social Bots on Twitter With Botometer [Streaming video]. 2022. doi:10.4135/9781529602265. Accessed 12/01/2023
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Summary
Chapters
Video Info
Supplementary material

Summary

Kaicheng Yang, PhD candidate, Observatory on Social Media at Indiana University-Bloomington, discusses detecting social bots on Twitter with a Botometer, including what a Botometer is, what it does, and how the Botometer API works.

Chapter 1: Kaicheng Yang Discusses the Use of Social Bots on Twitter and Describes a Botometer
icon angle down
- Start time: 00:00:00
- End time: 00:02:33
Chapter 2: Kaicheng Yang Describes How Botometers Work
icon angle down
- Start time: 00:02:34
- End time: 00:06:58
Chapter 3: Kaicheng Yang Discusses How the Botometer API Works
icon angle down
- Start time: 00:06:59
- End time: 00:09:14

Product: Sage Research Methods Video: Data Science, Big Data Analytics, and Digital Methods
Type of Content: Tutorial
Title: An Introduction to Detecting Social Bots on Twitter With Botometer
Publisher: SAGE Publications, Ltd.
- Publication year: 2022
- Online pub date: December 21, 2021
Discipline: Communication and Media Studies
Methods: Data science, Social media research, Machine learning, Application programming interfaces, Data analysis skills
Duration: 00:09:14
DOI: https://doi.org/10.4135/9781529602265
Keywords:
algorithms, automation, data analysis, internet research, Social media, Twitter
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Academic: Kaicheng Yang

Online ISBN: 9781529602265

Copyright: ©SAGE Publications Ltd., 2022

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  Yang, K. (Academic). (2022). An introduction to detecting social bots on Twitter with Botometer [Video]. Sage Research Methods. https://doi.org/10.4135/9781529602265
  
  Yang, Kaicheng. "An Introduction to Detecting Social Bots on Twitter With Botometer." In Sage Video. : SAGE Publications, Ltd., 2022. Video, 00:09:14. https://doi.org/10.4135/9781529602265.
  
  Yang, K., 2022. An Introduction to Detecting Social Bots on Twitter With Botometer, Sage Video. [Streaming Video] London: Sage Publications Ltd. Available at: <https://doi.org/10.4135/9781529602265 & gt; [Accessed 1 Dec 2023].
  
  Yang, Kaicheng. An Introduction to Detecting Social Bots on Twitter With Botometer. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 21 Dec 2021. doi: https://doi.org/10.4135/9781529602265. 1 Dec 2023.
  
  An Introduction to Detecting Social Bots on Twitter With Botometer [Streaming video]. 2022. doi:10.4135/9781529602265. Accessed 12/01/2023
  copy to clipboard
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Data science

Discover method in the Methods Map

Resources

References

Further Reading

Botometer. https://botometer.osome.iu.edu

Further Reading

Sayyadiharikandeh, M., Varol, O., Yang, K.C., Flammini, A., & Menczer, F., (2020).Detection of Novel Social Bots by Ensembles of Specialized Classifiers. Association for Computing Machinery, 2725–2732. http://dx.doi.org/10.1145/3340531.3412698

Further Reading

Varol, O., Ferrara, E., Davis, C., Menczer, F., & Flammini, A., (2017).Online Human-Bot Interactions: Detection, Estimation, and Characterization. International AAAI Conference, 11(1),https://ojs.aaai.org/index.php/ICWSM/article/view/14871

Further Reading

Yang, K., Varol, O., Davis, C.A., Ferrara, E., & Et al., (2019).Arming the public with artificial intelligence to counter social bots. Human Behavior and Emerging Technologies, 1(1),48–61.

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Video Type: Tutorial

Transcript

Summary

Chapters

Video Info

Supplementary material

Chapter 1: Kaicheng Yang Discusses the Use of Social Bots on Twitter and Describes a Botometer

Chapter 2: Kaicheng Yang Describes How Botometers Work

Chapter 3: Kaicheng Yang Discusses How the Botometer API Works

Resources

Resources

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An Introduction to Detecting Social Bots on Twitter With Botometer

Video Type: Tutorial

Transcript

Summary

Chapters

Video Info

Supplementary material

Chapter 1: Kaicheng Yang Discusses the Use of Social Bots on Twitter and Describes a Botometer

Chapter 2: Kaicheng Yang Describes How Botometers Work

Chapter 3: Kaicheng Yang Discusses How the Botometer API Works

Discover method in the Methods Map

Resources

Resources

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