Fact or Fake? Digital Forensics 101
Your gut says the information in front of you may not be 100% accurate, but how can you REALLY be sure? In this session, you will learn basic techniques to help you be a fact-checking rockstar. The great news is, these techniques can easily be taught to our students too! Join me for an hour of reverse image searches, keyframe analysis, EXIF data, lateral reading and some good, old fashioned observation work. You’re guaranteed to walk away with at least one new trick up your sleeve.
Dr. Kristen Mattson is a former middle school English teacher and high school librarian who is currently teaching educational technology, media literacy and digital citizenship courses to pre-service and practicing educators at the University of Illinois. Kristen also enjoys researching, writing, and delivering professional development around these topics as well. Her most recent book, “Ethics in a Digital World” is a guide to help secondary educators investigate the critical intersections of technology and humanity with their students.
Teaching Computer Science Students about Algorithm Bias
As the information universe becomes increasingly dominated by algorithms, librarians have a role in partnering with other information scientists to ensure that libraries can be spaces where communities can optimize their search for information. Working with computer science faculty, librarians Sheree Fu and Shalini Ramachandran consider whether an information literacy component focused on algorithmic bias would be beneficial to offer to students in the computational sciences and if so, how best to design the instruction. We share lessons learned from surveying, observing, and teaching computer science students about how bias in algorithms affects information systems and has a negative impact on fair societal outcomes.
Dr. Shalini Ramachandran was a Science & Engineering librarian at the University of Southern California (USC) where she taught information literacy to science and engineering students, including computer science students. She is currently a Faculty Liaison at Boise State University’s Office of Research Development. She has conducted research on computer science students’ perceptions of algorithm bias and presented on the topic at the 2019 ALA Midwinter Meeting.
Sheree Fu is the Engineering, Computer Science, and Technology Librarian at California State University, Los Angeles. She teaches graduate and undergraduate students information literacy skills. While her current research interests include information literacy, user research, space planning, accessibility, and algorithmic bias, she continuously explores how to encourage students to ask their own questions and take their next steps.
Accessibility in Information Literacy
This session will focus on how to make information literacy sessions more accessible to patrons. There will be an interactive discussion of disability followed by a more traditional lecture portion that aims specifically to address some tips on how to be more accessible while teaching, including making your PowerPoints screenreader friendly, using captioning in Zoom, and verbal queuing.
JJ Pionke’s research is on disability and accessibility for both patrons and employees in libraries. He is an award winning librarian who strongly advocates for going beyond ADA compliance by making libraries accessible for all people. Before becoming a librarian, he was an adjunct professor of English at two community colleges in the Chicago area. He lives with two Maine Coon cats and three plants that haven’t died yet.