5: Recognizing Bias, Algorithm Influence and Social Media in Academic Research
- Page ID
- 138451
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- 5.2: Information Literacy in the Age of Algorithms (Project Information Literacy)
- 5.2.1: The Age of Algorithms
- 5.2.1.1: The Big Picture
- 5.2.1.2: Algorithms and Higher Education
- 5.2.1.3: A Decade of PIL Research
- 5.2.1.4: Missing the Mark
- 5.2.1.5: Why this Matters now
- 5.2.2: Student Perceptions and Concerns
- 5.2.2.1: Takeaway 1- Students have an Ambivalent Bond with Algorithm-driven Platforms.
- 5.2.2.2: Takeaway 2- Students use Defensive Practices to Protect their Privacy
- 5.2.2.3: » Takeaway 3- Trust is Dead for many Students, and Skepticism Lives.
- 5.2.2.4: Takeaway 4- Discussions about Algorithms barely, if ever, make it into the Classroom.
- 5.2.3: Conclusion and Recommendations
- 5.2.3.1: A Wide and Concerning Gap
- 5.2.3.2: Recommendations
- 5.2.4: Leading Thinkers
- 5.2.4.1: Steven Braun
- 5.2.4.2: Kasia Chmielinski
- 5.2.4.3: Jason A. Clark
- 5.2.4.4: Andrea L. Guzman
- 5.2.4.5: Nate Hill
- 5.2.4.6: Alex Hodges
- 5.2.4.7: Momin Malik
- 5.2.4.8: Panagiotis Takis Metaxas
- 5.2.4.9: Eni Mustafaraj
- 5.2.4.10: Ronald E. Robertson
- 5.2.5: Methods
- 5.2.5.1: Data Collection
- 5.2.5.2: Student Sample
- 5.2.5.3: Faculty Sample
- 5.2.5.4: Coding Procedures
- 5.2.5.5: Methodological Limitations