Personal information

Natural Language Processing, Language Technologies, Information Retrieval, Information Organization, Curation and Access, Automated Deception Detection, Misinformation and Disinformation, Detection of varieties of "fake news" (clickbait, satire, falsifications, advertorials)
Canada

Biography

I specialize in information retrieval and natural language processing techniques that enable analyses of texts to identify, extract, and organize structured knowledge. I study complex human information behaviors that are, at least partly, expressed through language such as deception, uncertainty, credibility, and emotions. Multilingual information access and information organization are my other research interests.

Activities

Employment (6)

Western University: London, ON, CA

2006-07 to present | Assistant Professor (Faculty of Information and Media Studies)
Employment
Source: Self-asserted source
Victoria L. Rubin

Syracuse University: Syracuse, NY, US

2001-09 to 2004-05 | Analyst / Graduate Research Assistant (Center for Natural Language Processing School of Information Studies)
Employment
Source: Self-asserted source
Victoria L. Rubin

National Institute of Informatics: Tokyo, JP

2003-07 to 2003-08 | Intern ( NSF East Asia Summer Institute )
Employment
Source: Self-asserted source
Victoria L. Rubin

Syracuse Language, Havas Interactive: Syracuse, NY, US

1998-10 to 2001-07 | Computational Linguist (Engineering Department)
Employment
Source: Self-asserted source
Victoria L. Rubin

Syracuse Language Systems: Syracuse, NY, US

1997-09 to 1998-09 | Assistant Linguist (Speech Technology Group )
Employment
Source: Self-asserted source
Victoria L. Rubin

Syracuse University: Syracuse, NY, US

1995-09 to 1997-05 | Teaching Assistant (Department of Languages, Literatures, and Linguistics)
Employment
Source: Self-asserted source
Victoria L. Rubin

Education and qualifications (3)

Syracuse University: Syracuse, NY, US

2001 to 2006 | PhD (School of Information Studies)
Education
Source: Self-asserted source
Victoria L. Rubin

Syracuse University: Syracuse, NY, US

1995 to 1997 | MA (Department of Languages, Literatures, and Linguistics)
Education
Source: Self-asserted source
Victoria L. Rubin

Kharkiv National University: Kharkiv , UA

1988 to 1993 | BA (Department of Foreign Languages)
Education
Source: Self-asserted source
Victoria L. Rubin

Works (50 of 136)

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Misinformation and disinformation

Springer Nature
2022 | Book
Contributors: Victoria L. Rubin
Source: Self-asserted source
Victoria L. Rubin

What Am I Reading?: Article-style Native Advertisements in Canadian Newspapers

Proceedings of the 52nd Hawaii International Conference on System Sciences
2019 | Journal article
Source: Self-asserted source
Victoria L. Rubin

Disinformation and misinformation triangle

Journal of Documentation
2019-09-09 | Journal article | Author
Contributors: Victoria L. Rubin
Source: Self-asserted source
Victoria L. Rubin

Comparing Features of Fabricated and Legitimate Political News in Digital Environments (2016-2017)

Proceedings for the Annual Meeting of the Association for Information Science and Technology (ASIS&T): Building and Sustaining an Ethical Future with Emerging Technology
2018 | Journal article
Source: Self-asserted source
Victoria L. Rubin

Educators' Perceptions of Information Literacy and Skills Required to Spot 'Fake News'

Proceedings for the Annual Meeting of the Association for Information Science and Technology (ASIS&T): Building and Sustaining an Ethical Future with Emerging Technology
2018 | Journal article
Source: Self-asserted source
Victoria L. Rubin

La détection des nouvelles trompeuses et fallacieuses dans les contenus en ligne

Les fausses nouvelles, nouveaux visages, nouveaux défis. Comment déterminer la valeur de l’information dans les sociétés démocratiques?
2018 | Book chapter
Part of ISBN: 978-2-7637-4050-8
Source: Self-asserted source
Victoria L. Rubin

Fake News, Language Analysis and Online Influence

Syracuse University in the Newhouse/iSchool Lecture series panel
2018-10-16 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Strategies That Sell: Revealing Deceptive and Misleading Practices in Digital Media

Faculty of Information and Media Studies (FIMS) Seminar Series
2018-03-07 | Lecture
Source: Self-asserted source
Victoria L. Rubin

The Disinformation Triangle: The Epidemiology of “Fake News”

Information Without Borders Conference
2018-02-13 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Algorithms with a Moral Compass: Detecting Lies, Satire, and Clickbait

the IEEE Women in Engineering, IEEE Computer Society, and IEEE Young Professionals
2018-01-23 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Deception Detection and Rumor: Debunking for Social Media

The SAGE Handbook of Social Media Research Methods
2017 | Book chapter
Source: Self-asserted source
Victoria L. Rubin

Accountability and Transparency in News Media in an Era of 'Alternative Facts'

University of Western Ontario Homecoming events
2017-10-21 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Detecting Deception in Online Information

Les fausses nouvelles : le nouveau visage d’un vieux problème” (Fake news: a new face of the old problem)
2017-10-05 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Native Advertising: Ads in Disguise as Editorials

45th Annual Conference of The Canadian Association for Information Science/L’Association canadienne des sciences de l’information
2017-05-31 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

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

45th Annual Conference of The Canadian Association for Information Science/L’Association canadienne des sciences de l’information
2017-05-31 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Perceptions of Clickbait: A Q-Methodology Approach

45th Annual Conference of The Canadian Association for Information Science/L’Association canadienne des sciences de l’information
2017-05-31 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Deception Detection and Rumor Debunking Methods

Canadian Communication Association Conference
2017-05-30 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News

Proceedings of the Workshop on Computational Approaches to Deception Detection at the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
2016 | Journal article
Source: Self-asserted source
Victoria L. Rubin

Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News

Team Talk @Mediations Faculty of Information and Media Studies (FIMS) Talk Series
2016-10 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News

15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
2016-06 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Deception Untangled: Highlights from Deception Detection Research

Lucan Branch Public Library, 55 Up Talk Series
2016-05 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Truth or Mere “Truthiness”? Linguistic Cues of Satirical News

Language and Information Technology Research Lab (LiT.RL), Faculty of Information and Media Studies (FIMS) Research Day
2016-04 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Deception: and Lie Spotting with Text Analytics

Western Interdisciplinary Student Symposium on Language Research
2016-03 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Language of Deception: Looking at Tell-Tale Signs of Lying

#PublicInterest Faculty of Information and Media Studies (FIMS) Talks on Media and Information
2016-01 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Linguistic Society Panel. On Opportunities with a Degree in Linguistics

Post-Grad Event
2016-01 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Automatic deception detection: Methods for finding fake news

Proceedings of the Association for Information Science and Technology
2015 | Journal article
EID:

2-s2.0-84987722728

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

Deception detection for news: Three types of fakes

Proceedings of the Association for Information Science and Technology
2015 | Journal article
EID:

2-s2.0-84987753820

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

Differences over discourse structure differences: A reply to Urquhart and Urquhart

Journal of Documentation
2015 | Journal article
EID:

2-s2.0-84923701203

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

Misleading Online Content: Recognizing Clickbait as “False News”

International Conference on Multimodal Interaction
2015 | Journal article
Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

News in an online world: The need for an “automatic crap detector”

Proceedings of the Association for Information Science and Technology
2015 | Journal article
EID:

2-s2.0-84987711761

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

Towards News Verification: Deception Detection Methods for News Discourse

Proceedings of the 48th Hawaii International Conference on System Sciences
2015 | Journal article
Source: Self-asserted source
Victoria L. Rubin

Truth and deception at the rhetorical structure level

Journal of the Association for Information Science and Technology
2015 | Journal article
EID:

2-s2.0-84948402645

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

Automatic Deception Detection: Methods for Finding Fake News

Association for Information Science and Technology Annual Meeting
2015-11-06 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Deception Detection for News: Three Types of Fakes

Information Science with Impact: Research in and for the Community
2015-11-06 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

News in an Online World: The Need for an “Automatic Crap Detector”

Association for Information Science and Technology Annual Meeting
2015-11-06 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Content Analysis as a Media Studies Methodology

LIS9101:MS Research Methods
2015-09 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Advances in Deception Detection: How Well Can Lies Be Spotted in Texts?

Faculty of Information and Media Studies (FIMS) Research Brownbag Talk
2015-02 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Towards News Verification: Deception Detection Methods for News Discourse

The Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium, at the 48th Annual Hawaii International Conference on System Sciences
2015-01 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Pragmatic and cultural considerations for deception detection in Asian Languages

ACM Transactions on Asian Language Information Processing
2014 | Journal article
EID:

2-s2.0-84903317238

Contributors: Rubin, V.L.
Source: Self-asserted source
Victoria L. Rubin via Scopus - Elsevier

The Role of Serendipity in Digital Environments

Encyclopedia of Information Science and Technology
2014 | Encyclopedia entry
Source: Self-asserted source
Victoria L. Rubin

Automated Deception Detection Methods: from Lexico-Semantics to Discourse

Inter-disciplinary Linguistics Program
2014-11 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Content Analysis as a Media Studies Methodology

LIS9101: MS Research Methods
2014-09 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Fact or Fiction? Detecting Digital Deception and Misinformation in News Stories

2014 International Social Media and Society Conference
2014-09-27 | Conference poster
Source: Self-asserted source
Victoria L. Rubin

Automated Deception Detection Methods: From Lexico-Semantics to Discourse

Xerox Research Centre Europe
2014-05 | Lecture
Source: Self-asserted source
Victoria L. Rubin

Deception in video games: Examining varieties of griefing

Online Information Review
2013 | Journal article
EID:

2-s2.0-84880308876

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

Stretching conceptual structures in classifications across languages and cultures

Knowledge Organization and Classification in International Information Retrieval
2013 | Book chapter
EID:

2-s2.0-49749119582

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

Veracity roadmap: Is big data objective, truthful and credible?

Advances in Classification Research Online
2013 | Journal article
EID:

2-s2.0-84892179036

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎

Veracity Roadmap: Is Big Data Objective, Truthful and Credible?

Big Data, Linked Data: Classification Research at The Junction Workshop
2013-11-01 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Comparative Stylistic Fanfiction Analysis: Popular and Unpopular Fics across Eleven Fandoms

41st Annual Conference of the The Canadian Association for Information Science/L’Association canadienne des sciences de l’information
2013-06-06 | Conference paper
Source: Self-asserted source
Victoria L. Rubin

Discerning truth from deception: Human judgments and automation efforts

First Monday
2012 | Journal article
EID:

2-s2.0-84864013036

Source: Self-asserted source
Victoria L. Rubin
grade
Preferred source (of 2)‎
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