5 research outputs found
EMONA: Event-level Moral Opinions in News Articles
No full textMost previous research on moral frames has focused on social media short
texts, little work has explored moral sentiment within news articles. In news
articles, authors often express their opinions or political stance through
moral judgment towards events, specifically whether the event is right or wrong
according to social moral rules. This paper initiates a new task to understand
moral opinions towards events in news articles. We have created a new dataset,
EMONA, and annotated event-level moral opinions in news articles. This dataset
consists of 400 news articles containing over 10k sentences and 45k events,
among which 9,613 events received moral foundation labels. Extracting event
morality is a challenging task, as moral judgment towards events can be very
implicit. Baseline models were built for event moral identification and
classification. In addition, we also conduct extrinsic evaluations to integrate
event-level moral opinions into three downstream tasks. The statistical
analysis and experiments show that moral opinions of events can serve as
informative features for identifying ideological bias or subjective events.Comment: Accepted to NAACL 202
Biometric Authentication Using CNN Features of Dorsal Vein Pattern Extracted from NIR Image
No full textNon-Invasive Bilirubin Level Quantification and Jaundice Detection by Sclera Image Processing
No full textDirection of Arrival Estimation through Noise Supression: A Novel Approach using GSC Beamforming and Room Acoustic Simulation
No full textUAZ Study 3 Results
No full textThis document contains the results of our evaluation of a number of artificial social intelligence (ASI) capabilities that we hypothesized would be demonstrated in ASIST Study 3. We preregistered these capability declarations at https://osf.io/hsy32, and follow up here with results of our evaluations of these capabilities. We include the text of the preregistration, with the results appended in separate subsections, so that the reader does not need to spend additional time context-switching and cross-referencing between two documents. The preregistration section of section 10 has been updated for additional clarity
