Detailed Course Information |
Spring 2025
Apr 01, 2025 |
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 | Select the desired Level or Schedule Type to find available classes for the course. We would like to inform you that Self-Service Banner (Old) will be removed from MyBallState on May 9, 2025. To avoid interruptions in accessing the services you need, please transition to the updated version of Self-Service Banner as soon as possible. Thank you for your attention to this matter. |
| CT 115 - Social Media Video Algorithms and Video Content Elements |
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This introductory course will examine how video content design interacts with algorithms being used across multiple social media video platforms. Topics will include exploring how video design elements interact with social media video algorithm priorities including search and discovery, feedback loops, use of historical data to make future decisions, video audience engagement data, search tool functionality, video search tool ranking data, using relevant search terms, aligning with suggested video content, use of playlists, considering performance and engagement data, aligning with country trend data, subscriber implications, and notification processes. Through this course, students will understand the impact that social media video algorithms have on how society is able to discover and consume video content.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online (Asynchronous), Study Abroad Info, Comm Sciences Department Course Attributes: UCC T1 Social Sciences Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate |
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