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Johns Hopkins University

Online Influence and Persuasion

Ian McCulloh

Instructor: Ian McCulloh

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

21 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

21 hours to complete
3 weeks at 7 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the foundations of social media analytics and its impact on organizational behavior.

  • Explore theories of online influence, including the role of misinformation and platform manipulation.

  • Examine how cognitive biases shape beliefs and behaviors within social media networks.

  • Acquire hands-on skills in managing social media data using APIs for comprehensive analysis.

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Recently updated!

September 2024

Assessments

12 assignments

Taught in English

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This course is part of the Social Media Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

In this course, you will explore the practical applications of machine learning through hands-on modules covering data pre-processing, feature extraction, model evaluation, and supervised learning techniques. Delve into specialized topics such as computer vision and learn to implement and assess various machine learning models. This course combines theoretical insights with practical lab activities to equip you with essential skills in applied machine learning.

What's included

1 reading1 plugin

In this module, you will delve into Social Network Analysis (SNA), mastering the calculation of key SNA measures and understanding their significance in organizational behavior. You will also learn to cluster network subgroups to uncover structural insights. You will explore statistical tests tailored for analyzing social forces within networks, equipping you to interpret and apply SNA findings effectively in various contexts.

What's included

4 videos3 readings3 assignments

In this module, you will delve into Online Influence and Persuasion, exploring the complexities of social media dynamics. You will understand the counter-intuitive nature of influence and the interplay between disinformation, misinformation, malinformation, and propaganda. Gain insights into social media addiction from a neurobiological perspective and examine common theories of influence and persuasion, moderated within online contexts. Additionally, you will explore platform manipulation and the role of recommender systems in shaping online behaviors and perceptions.

What's included

5 videos4 readings3 assignments

In this module, you will explore the dynamics of influence, network conformity, and cognitive biases in online environments. You will also understand how network conformity shapes beliefs and behaviors and examine the phenomenon of majority illusion. You will also explore the neural basis of persuasion and the impact of cognitive biases on online interactions, equipping you with insights into combating disinformation and promoting critical thinking in digital spaces.

What's included

4 videos4 readings3 assignments

In this module, you will gain practical expertise in managing social media data through APIs (Application Programming Interfaces). You will learn to extract, transform, and load data from various platforms for comprehensive analysis, integrating external data sources to enrich your analytical capabilities and insights.

What's included

3 videos5 readings3 assignments1 ungraded lab

Instructor

Ian McCulloh
Johns Hopkins University
10 Courses399 learners

Offered by

Recommended if you're interested in Data Analysis

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