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There are 5 modules in this course
In the "Online Influence and Persuasion" course, learners will explore the intricate dynamics of social media through the lens of Social Network Analysis (SNA). This course is designed to equip you with essential skills to analyze how social media influences behaviors, perceptions, and organizational structures. By mastering key SNA measures and clustering techniques, you will uncover valuable insights into network subgroups and social forces.
What sets this course apart is its comprehensive approach to understanding online influence, including the neurobiological aspects of social media addiction and the interplay between misinformation and persuasion. You will gain hands-on experience managing social media data through APIs, enabling you to extract, transform, and analyze data effectively.
By the end of this course, you will not only understand the theoretical foundations of online influence and persuasion but also acquire practical skills that can be applied in various contexts, from marketing to behavioral research. This unique combination of theory and practice will prepare you to navigate the complexities of the digital landscape and make data-driven decisions that can enhance organizational effectiveness.
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. You will 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
Show info about module content
1 reading•Total 10 minutes
Course Overview•10 minutes
1 plugin•Total 4 minutes
Instructor Biography - Dr. Ian McCulloh•4 minutes
Social Media Analytics Introduction
Module 2•5 hours to complete
Module details
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
Show info about module content
4 videos•Total 85 minutes
Social Media Analytics Introduction•28 minutes
Definition •3 minutes
Trends and Statistics•22 minutes
Information Warfare•31 minutes
3 readings•Total 100 minutes
Reading References•30 minutes
Reading References•30 minutes
Self-Reflective Reading: Challenges and Opportunities in Social Media Analytics•40 minutes
3 assignments•Total 90 minutes
Social Media Analytics Introduction•60 minutes
Understanding Social Media Analytics•15 minutes
Exploring Social Media Analytics and Information Warfare•15 minutes
Online Influence and Persuasion
Module 3•6 hours to complete
Module details
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. You will 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
Show info about module content
5 videos•Total 127 minutes
Online Influence and Persuasion•27 minutes
Boomerang and Rumor Correction•23 minutes
Social Neuroscience•26 minutes
Narrative Transport•27 minutes
Platform Manipulation and Interventions•24 minutes
4 readings•Total 140 minutes
Reading References•20 minutes
Misinformation Overview•60 minutes
Reading References•20 minutes
Self-Reflective Reading: Echo Chambers, Boomerang Effects, and Fake News•40 minutes
3 assignments•Total 90 minutes
Online Influence and Persuasion•60 minutes
Understanding Social Media Influence Dynamics•18 minutes
Theories and Strategies in Online Persuasion•12 minutes
Network Conformity and Fake News
Module 4•4 hours to complete
Module details
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
Show info about module content
4 videos•Total 57 minutes
Influence and Rumor Correction•12 minutes
Network Conformity•14 minutes
Neural Basis of Persuasion•6 minutes
Disinformation•25 minutes
4 readings•Total 120 minutes
Reading References•30 minutes
Reading References•10 minutes
Self-Reflective Reading: Social Networks Influence•40 minutes
Self-Reflective Reading: Social Media, Misinformation, and Democracy•40 minutes
3 assignments•Total 90 minutes
Network Conformity and Fake News •60 minutes
Understanding Network Conformity•15 minutes
Cognitive Biases in Online Behavior•15 minutes
Data and APIs
Module 5•7 hours to complete
Module details
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
Show info about module content
3 videos•Total 47 minutes
Introduction•6 minutes
Legal Considerations•28 minutes
APIs•12 minutes
5 readings•Total 205 minutes
Information & Social Analysis of Reddit•30 minutes
Outdated APIs for Reference and Example•35 minutes
Additional Python Scripts•40 minutes
Python Scripts for Data Collection•60 minutes
Self-Reflective Reading: Social Media Data Collection•40 minutes
3 assignments•Total 90 minutes
Data and APIs •60 minutes
Introduction to APIs and Data Formats•18 minutes
Practical Data Handling with Python•12 minutes
1 ungraded lab•Total 60 minutes
Practice Lab: Scraping Data from a Multi-Page Website Using Python•60 minutes
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The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.