Media Literacy Education for Adult Audiences: Decoding Algorithms
Comprehending the world of algorithms and the crucial role that they play in unlocking the digital world is a key part of navigating the internet. Join us for the third session in our Media Literacy Education for Adult Audiences: Architecture of the Internet webinar series, a five-part series that will focus on shedding light on the often-overlooked aspects of the internet that shape the information landscape online.
In this session, “Media Literacy Education for Adult Audiences: Decoding Algorithms”, we will explore algorithms and how they fundamentally shape our digital interactions. Key learning objectives for this session include:
- Understanding what algorithms are and recognizing examples in daily life
- Identifying bias in algorithms and how it impacts the delivery of information
- Discussing strategies for educating adult patrons about the role and implications of algorithms
This webinar series focuses on topics included in the recently published Media Literacy for Adults: Architecture of the Internet Programming Guide.
Accommodations
This webinar will be presented online via Zoom. Closed captions will be enabled during the presentation, and we will email a copy of the chat transcript to all attendees within 48 hours of the webinar. We will also share a copy of the presenter's slideshow at least 24 hours in advance. If you need other reasonable accommodations, please reach out to us by November 6, 2024 via email at publicprograms@ala.org or by calling 312-280-5045.
This project was made possible in part by the Institute of Museum and Library Services grant number LG-13-19-0089-19.
Fiona O'Connor is a Senior Services Specialist in Digital Literacy Initiatives at the Toronto Public Library. With a passion for technology and information privacy, Fiona plays a pivotal role in developing and implementing programs and staff training in various critical areas, including Digital Privacy, Artificial Intelligence, Big Data, Misinformation and Disinformation and Open Data.