Bias and Influence in Search Tools

One of five interactive learning objects (LOs) created in 2022 for Digital Literacy: What you need to know to help students transition to digital learning in universities. View the tutorial.

Audience:

• University Students

Duration:

• Approximately 20 mins

Learning Outcomes:

• Distinguish bias and influence in machine-learning (including algorithmic and artificial intelligence or AI) when using search tools.

Topics Covered:

• How internet search engines work
• Algorithmic bias in search results

Software Used:

• Articulate Storyline 360

Included in the zipped folder for download:

• fonts - Poppins & Roboto
• Storyline output files
• Storyline source file
• storyboard in .pptx format
• voice over mp3 files
• graphics Illustrator files
• animations mp4 and .fla source files
• video mp4 files and scripts
• PDF files

Librarians from the following universities contributed to the development of the content:

• Nanyang Technological University (NTU)
• National Institute of Education (NIE)
• National University of Singapore (NUS)
• Singapore Institute of Technology (SIT)
• Singapore Management University (SMU)
• Singapore University of Social Sciences (SUSS)
• Singapore University of Technology and Design (SUTD)