Social Media Algorithms and Their Influence on User Behavior

Spoken Exam Simulation

Description

This exam evaluates the impact of social media algorithms on user behavior, focusing on algorithmic biases and filter bubbles. Students will assess real-world implications.

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Exam Details

Duration: 45 minutes

Prerequisites: Digital Media Studies, Media Psychology, Research Methods

Key Topics

Algorithmic Biases
Filter Bubbles
User Behavior
Information Accessibility
Content Curation

Learning Outcomes

Analyze Algorithmic Influences
Discuss User Behavior Changes
Evaluate Case Studies
Illustrate Media Literacy Concepts

Full Description

This exam focuses on the role and impact of algorithms in shaping user behavior on social media platforms. Key areas covered will include algorithmic biases, filter bubbles, and information accessibility.

The examination of algorithms is crucial as they dictate content exposure, which can subsequently affect beliefs, attitudes, and behaviors among users. Understanding these biases is increasingly relevant to media literacy.

Examinees will articulate the implications of algorithm-driven content on user behavior and critically assess case studies demonstrating these impacts during verbal assessments.

Candidates are encouraged to provide examples of algorithmic impacts on information dissemination across various platforms.

Sample Questions

What are the potential consequences of algorithmic biases on user interactions on social media?
How do filter bubbles influence the information that users encounter on social media platforms?

Field: Social Sciences

Subfield: Communication Studies

Specialization: Social Media Studies

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