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Il y a 5 modules dans ce cours
The course, "Introduction to Social Computing" offers a comprehensive exploration of the intersection between technology and society, equipping learners with essential skills in social media analytics and influence. By covering a range of topics from data pre-processing to feature extraction and model evaluation, students will gain practical experience in applying machine learning techniques to real-world social media scenarios.
Through hands-on modules, learners will delve into the dynamics of socio-technical systems and responsible AI, understanding how digital platforms shape human interactions and behaviors. The unique combination of theoretical insights and practical applications prepares students to navigate the complexities of social media, including analyzing firestorms and mitigating misinformation.
What sets this course apart is its focus on gamification and cognitive biases in online environments, providing students with innovative strategies to enhance user engagement and promote critical thinking. Whether you are looking to advance your career in tech or simply understand the social implications of technology, this course will empower you to effectively analyze and leverage social computing in today’s digital landscape.
The Introduction to Social Computing course explores the intersection of technology and social behavior. It covers fundamental concepts such as social computing, crowdsourcing, and human computation. You will delve into social media dynamics, including platform manipulation and data limitations, and examine the effects of network conformity and cognitive biases on online behavior. Additionally, the course highlights the history and impact of gamification, demonstrating how game design can enhance social computing applications.
Inclus
1 lecture1 plugin
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1 lecture•Total 5 minutes
Course Overview•5 minutes
1 plugin•Total 4 minutes
Instructor Biography - Dr. Ian McCulloh•4 minutes
Introduction to Social Computing
Module 2•6 heures à terminer
Détails du module
In this module, you will explore the fundamentals of socio-technical systems and responsible AI in the context of digital platforms. You will define social media analytics and delve into structure-based versus content-based analysis methods. You will also understand the role of social media and information in influencing and manipulating populations, providing a foundational understanding of how digital technologies shape societal interactions and behaviors.
Inclus
4 vidéos3 lectures3 devoirs
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4 vidéos•Total 80 minutes
Introduction•8 minutes
Socio-Technical Systems•29 minutes
Responsible AI•22 minutes
Defining the Topic•21 minutes
3 lectures•Total 220 minutes
Reading References•90 minutes
Reading References•90 minutes
Self-Reflective Reading: Exploring Trust, Bias, and Ethics in AI and ML•40 minutes
3 devoirs•Total 90 minutes
Foundations of Social Computing•15 minutes
Ethics in Human-Centered AI•15 minutes
Introduction to Social Computing•60 minutes
Social Media
Module 3•4 heures à terminer
Détails du module
In this module, you will get an in-depth exploration of social media platforms, focusing on high-level analytics, legal issues, and the impact of firestorms. You will be able to define what constitutes social media and examine how it influences modern communication. You will learn about social media firestorms, their rapid escalation, and the implications for users and organizations. You will also explore social media platform manipulation and the challenges associated with collecting and analyzing data, enhancing your understanding of digital communication landscapes.
Inclus
4 vidéos2 lectures3 devoirs1 laboratoire non noté
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4 vidéos•Total 57 minutes
Social Media Analytics•20 minutes
High-Level Analytics•10 minutes
Legal Issues •16 minutes
Firestorms•12 minutes
2 lectures•Total 20 minutes
Reading References•10 minutes
Reading References•10 minutes
3 devoirs•Total 90 minutes
Introduction to Social Media•15 minutes
Analyzing Social Media Dynamics•15 minutes
Social Media•60 minutes
1 laboratoire non noté•Total 60 minutes
Practice Lab: Data Collection & Analysis of Mental Health Tweets•60 minutes
Network Conformity and Fake News
Module 4•5 heures à terminer
Détails du module
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.
Inclus
4 vidéos3 lectures3 devoirs
Afficher les informations sur le contenu du module
4 vidéos•Total 57 minutes
Influence and Rumor Correction•12 minutes
Network Conformity•14 minutes
Neural Basis of Persuasion•6 minutes
Disinformation•25 minutes
3 lectures•Total 160 minutes
Reading References•60 minutes
Reading References•60 minutes
Self-Reflective Reading: Social Media, Misinformation, and Democracy•40 minutes
3 devoirs•Total 90 minutes
Understanding Network Conformity•15 minutes
Cognitive Biases in Online Behavior•15 minutes
Network Conformity and Fake News •60 minutes
Games and Gamification
Module 5•5 heures à terminer
Détails du module
In this module, you will explore the evolution and application of gamification in social computing. You will learn about the history of gamification and its impact on engagement. You will also understand how game design principles enhance the usability and effectiveness of social computing applications. You will explore research in applied game design, equipping you with practical insights into leveraging gamification to enhance user motivation and interaction.
Inclus
5 vidéos3 lectures3 devoirs
Afficher les informations sur le contenu du module
5 vidéos•Total 72 minutes
Gamification•6 minutes
Motivation•22 minutes
Game Design•23 minutes
Game Research•7 minutes
Applied Game Design•14 minutes
3 lectures•Total 150 minutes
Reading References•60 minutes
Reading References•60 minutes
Self-Reflective Reading: Exploring Games and Gamification•30 minutes
3 devoirs•Total 90 minutes
Introduction to Gamification•15 minutes
Applying Game Design Principles•15 minutes
Games and Gamification•60 minutes
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