Library and Information Science Commons^™

Professional Identity And You: Why Self-Concept Matters In Librarianship, Kevin Tanner

FIMS Presentations

Kevin Tanner addresses the importance of professional identity in librarianship. In the Summer 2015 semester, he completed an independent study on the construction of professional identity of librarians on Twitter through professional development and networking. During this session, he shares the results of that study and give suggestions on how you can begin to find your own professional identity while still retaining your individuality. While there are many stereotypes about librarians, they are not “one-size-fits-all” professionals, and a new modern image of the professional has begun to emerge in the digital age through a thoughtful reflection on identity.

Watching Storytelling: Visual Information In Oral Narratives, James Ripley

Electronic Thesis and Dissertation Repository

Oral narratives, though prolific, are increasingly being shared via some form of electronic mediation, and yet they are often glossed over in regard to the study of narrative. This study was designed to address the unique nature of oral narratives focusing on the information channels utilized by participants in their co-creation of stories.

A comparative case study was undertaken of three groups who employed a variety of synchronous and asynchronous electronic mediation in their storytelling. Viewed through the lenses of Narratology and Social Presence Theory a combination of participant observation and qualitative semi-structured exploratory narrative interviews were undertaken with participants …

Awareness And Perception Of Copyright Among Teaching Faculty At Canadian Universities, Lisa Di Valentino

FIMS Presentations

In this talk I discuss the results of a survey of Canadian university faculty members undertaken from October to December 2014. The survey sought to determine teaching faculty awareness of copyright law and institutional policy and training, and how they would respond in various scenarios.

Analysis of the results suggests that while faculty members are aware of the existence of their institution's copyright policy, much fewer know whether their institution offers training. Of those who do know about training, only one-third have attended. However, faculty who have attended copyright training find that their knowledge is enhanced by the experience.

It …

Contentious Information: Accounts Of Knowledge Production, Circulation And Consumption In Transitional Egypt, Ahmad Kamal

Electronic Thesis and Dissertation Repository

While the 2011 Egyptian Uprising renewed attention to revolutionary news platforms such as Al-Jazeera and Facebook, citizens continued to be understudied as active consumers of information. Yet citizens’ perceptions of their informational milieu and how they responded in consuming, processing, and interpreting facts offer crucial insight into the turbulent transition that followed the initial uprising. This study analyzes Egyptian citizens’ accounts of their information environment and practices amid socio-political change. Semi-structured interviews were conducted with 31 politically-engaged citizens from various political and professional backgrounds. Participants were asked to discuss the state of public discourse, the institutions responsible for the circulation …

Towards News Verification: Deception Detection Methods For News Discourse, Yimin Chen, Victoria L. Rubin, Niall Conroy

FIMS Presentations

News verification is a process of determining whether a particular news report is truthful or deceptive. Deliberately deceptive (fabricated) news creates false conclusions in the readers’ minds. Truthful (authentic) news matches the writer’s knowledge. How do you tell the difference between the two in an automated way? To investigate this question, we analyzed rhetorical structures, discourse constituent parts and their coherence relations in deceptive and truthful news sample from NPR’s “Bluff the Listener”. Subsequently, we applied a vector space model to cluster the news by discourse feature similarity, achieving 63% accuracy. Our predictive model is not significantly better than chance …