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Full-Text Articles in Library and Information Science

Contentious Information: Accounts Of Knowledge Production, Circulation And Consumption In Transitional Egypt, Ahmad Kamal Apr 2015

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 Jan 2015

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 …