News Verification Suite: Towards System Design to Supplement Reporters’ and Editors’ Judgements

Rubin, Victoria L.

doi:10.29173/cais1030

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…Effort has been put into finding technological solutions to the proliferation of misinformation, and disinformation in current online informational spaces (e.g., Rubin (2017), Rubin, Chen, and Conroy (2015)). This research however, focuses on the human side of digital news reading, and how it relates to the broader concept of IL.…”

Section: Research Questionmentioning

confidence: 99%

Educators' perceptions of information literacy and skills required to spot ‘fake news’

Delellis

Rubin

2018

Proc. Assoc. Info. Sci. Tech.

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This research examines the concept of ‘fake news’ in the context of information literacy (IL) in a post‐secondary educational setting. Educators' perceptions shape both IL curricula and classroom discussions with students. We conducted 18 interviews with members of 3 integral groups implementing IL education (8 professors, 6 librarians, 4 department chairs). Interviews explored participants' perceptions of: IL education, perceived skills associated with IL, skills required to spot ‘fake news’, and gauged our participants' willingness to incorporate segments dedicated to detecting ‘fake news’ in IL curriculum. Our qualitative findings identify a substantial overlap that exists between skills associated with IL and ‘fake news’ detection (e.g., close‐reading, critical disposition, bias awareness). Professors and academic administrators also appeared to underappreciate the role of librarians as IL educators. We advocate improving communication among integral facilitators of IL education. More research is needed to assess effectiveness of IL education as an ‘inoculation’ against ‘fake news.‘

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Section: Research Questionmentioning

confidence: 99%

Educators' perceptions of information literacy and skills required to spot ‘fake news’

Delellis

Rubin

2018

Proc. Assoc. Info. Sci. Tech.

Self Cite

View full text Add to dashboard Cite

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A News Verification Browser for the Detection of Clickbait, Satire, and Falsified News

Rubin¹,

Brogly²,

Conroy³

et al. 2019

JOSS

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The LiT.RL News Verification Browser is a research tool for news readers, journalists, editors or information professionals. The tool analyzes the language used in digital news web pages to determine if they are clickbait, satirical news, or falsified news, and visualizes the results by highlighting content in color-coded categories. Although the clickbait, satire, and falsification detectors perform to certain accuracy levels on test data, during real-world internet use accuracy may vary. The browser is not a replacement for digital literacy and is not always correct. All processing is completed on the local machine-results are not sent to or from a remote server. Results may be saved locally to a standard SQLite database for further analysis.

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News Verification Suite: Towards System Design to Supplement Reporters’ and Editors’ Judgements

Cited by 2 publications

References 11 publications

Educators' perceptions of information literacy and skills required to spot ‘fake news’

Educators' perceptions of information literacy and skills required to spot ‘fake news’

A News Verification Browser for the Detection of Clickbait, Satire, and Falsified News

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