VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.
 

NewsComp: Facilitating Diverse News Reading through Comparative Annotation

dc.contributor.authorBhuiyan, Md Momenen
dc.contributor.authorLee, Sang Wonen
dc.contributor.authorGoyal, Niteshen
dc.contributor.authorMitra, Tanushreeen
dc.date.accessioned2023-05-01T18:39:43Zen
dc.date.available2023-05-01T18:39:43Zen
dc.date.issued2023-04-19en
dc.date.updated2023-05-01T07:58:41Zen
dc.description.abstractTo support efficient, balanced news consumption, merging articles from diverse sources into one, potentially through crowdsourcing, could alleviate some hurdles. However, the merging process could also impact annotators’ attitudes towards the content. To test this theory, we propose comparative news annotation; that is, annotating similarities and differences between a pair of articles. By developing and deploying NewsComp—a prototype system—we conducted a between-subjects experiment (N = 109) to examine how users’ annotations compare to experts’, and how comparative annotation affects users’ perceptions of article credibility and quality. We found that comparative annotation can marginally impact users’ credibility perceptions in certain cases; it did not impact perceptions of quality. While users’ annotations were not on par with experts’, they showed greater precision in finding similarities than in identifying disparate important statements. The comparison process also led users to notice differences in information placement and depth, degree of factuality/opinion, and empathetic/inflammatory language use. We discuss implications for the design of future comparative annotation tasks.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1145/3544548.3581244en
dc.identifier.urihttp://hdl.handle.net/10919/114871en
dc.language.isoenen
dc.publisherACMen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.holderThe author(s)en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleNewsComp: Facilitating Diverse News Reading through Comparative Annotationen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
3544548.3581244.pdf
Size:
1.28 MB
Format:
Adobe Portable Document Format
Description:
Published version
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
0 B
Format:
Item-specific license agreed upon to submission
Description: