Communication Commons^™

Investigating Collaborative Explainable Ai (Cxai)/Social Forum As An Explainable Ai (Xai) Method In Autonomous Driving (Ad), Tauseef Ibne Mamun

Dissertations, Master's Theses and Master's Reports

Explainable AI (XAI) systems primarily focus on algorithms, integrating additional information into AI decisions and classifications to enhance user or developer comprehension of the system's behavior. These systems often incorporate untested concepts of explainability, lacking grounding in the cognitive and educational psychology literature (S. T. Mueller et al., 2021). Consequently, their effectiveness may be limited, as they may address problems that real users don't encounter or provide information that users do not seek.

In contrast, an alternative approach called Collaborative XAI (CXAI), as proposed by S. Mueller et al (2021), emphasizes generating explanations without relying solely on algorithms. CXAI centers …

Repackaging The Reach Of Dreams: News Coverage Of Daca Rescindment By Three National Newspapers On Twitter, Megan Pietruszewski

Dissertations, Master's Theses and Master's Reports

This thesis examines the frames used by three news organizations to cover the rescindment of the Deferred Action for Childhood Arrivals (DACA) program. The rescindment of DACA was a pivotal transition period open to new immigration policy, and frames used in the news coverage of DACA are important as frames influence public opinion and possible future immigration policy. This study uses corpus linguistic methods and Van Gorp’s inductive framing analysis to explore how a complex political decision like DACA rescindment is covered in condensed news stories on Twitter as well as in full-length news articles. The Executive Critique frame, which …