Play-based learning activity asking students to intentionally create "fake news" and engage with their emotional reactions in coming across information. 

Two librarians at NKU developed an Informed Voting workshop to help students navigate information during the 2024 election season. Attendees were provided a worksheet to learn about the candidates/issues on their ballot and dig into one issue/race to investigate during the workshop.

Algorithms are everywhere, and they have increasing power over what we consume (Amazon, Netflix, TikTok), who we date (“the apps”), and how we understand the world (Google, ChatGPT). So, what are algorithms, and how did they become so powerful? Who are the humans that create them, and why does it matter?

In this workshop, we will explore how algorithms can perpetuate bias and discrimination, and discuss some preventive strategies. It is open to learners of all backgrounds and experience.

This workshop engages participants in exploring corporate data collection, personal profiling, deceptive design, and data brokerage practices. Workshop content is contextualized with the theoretical frameworks of panoptic sort (Gandy), surveillance capitalism (Zuboff), and the four regulators (Lessig) and presented through a privacy and business ethics lens. Participants will learn how companies make money from data collection practices; explore how interface design can influence our choices and behaviors; and discuss business ethics regarding privacy and big data.

Description: The Database Scavenger Hunt engages pairs of students in locating specific information or performing specific tasks across multiple resources. Each team works through a series of 16 questions/tasks, with verification of correct answers from the librarian/professor after every 1 or 2 questions, then places a mark on the corresponding wall grid of questions once an answer is deemed correct. The process repeats until the team completes all questions.

Algorithms are not neutral but this does not mean they are not useful tools for research. In this workshop on algorithmic bias, student learn how algorithms can perpetuate bias and discrimination and how to critically evaluate their search results.