Publications

List of Publications by Victoria L. Rubin and her lab research assistants and colleagues as collaborators.

2023

Kelly, Dominique and Rubin, Victoria, L. (In Press) Identifying Dark Patterns in User Account Disabling Interfaces: Content Analysis Results. In Social Media + Society.

Delellis, Nicole, S., Chen, Yimin; Cornwell, Sarah, E., Kelly, Dominique; Mayhew, Alex; Onaolapo, Sodiq; and Rubin, Victoria, L. (2023). “ChatGPT Media Coverage Metrics: Initial Examination.” In the Proceedings of the the 86th Annual Meeting of the Association for Information Science & Technology | Oct. 29 – 31, 2023 | London, United Kingdom.

Kelly, Dominique; Chen, Yimin; Cornwell, Sarah, E.; Delellis, Nicole; Mayhew, Alex; Onaolapo, Sodiq; and Rubin, Victoria, L. (2023). “Bing Chat: The Future of Search Engines?”In the Proceedings of the the 86th Annual Meeting of the Association for Information Science & Technology | Oct. 29 – 31, 2023 | London, United Kingdom.

2022

Rubin, V. L. (2022). Misinformation and Disinformation: Detecting Fakes with the Eye and AI. Springer Nature, Switzerland. https://doi.org/10.1007/978-3-030-95656-1

Rubin, V. L. (2022). Chapter 27: Content Verification for Social Media: From Deception Detection to Automated Fact-Checking. In Quan-Haase, Anabel and Sloan, Luke (Eds.) The SAGE Handbook of Social Media Research Methods, Second Edition. SAGE Publications Ltd. https://us.sagepub.com/en-us/nam/the-sage-handbook-of-social-media-research-methods/book272098#contents

Chen, Y., Cornwell, S.,  Delellis, N. S., Kelly, D., Liu, Y., Mayhew, A., &  Rubin, V. L. (2022). Engagement for Good or Ill: Comparing Characteristics of Co-Creative and Co-Destructive Online Communities. The 85th Annual Meeting of the Association for Information Science and Technology (ASIS&T2022): “Crisis, Transition, Resilience: Re–Imagining an Information–Resilient Society,” October 29 – November 1, 2022, Pittsburgh, PA.

Delellis, N. S., Kelly, D., Liu, Y., Mayhew, A., Chen, Y., Cornwell, S., & Rubin, V. L. (2022).  Applying Positive Psychology’s Subjective Well-Being to Online Interactions. The 85th Annual Meeting of the Association for Information Science and Technology (ASIS&T2022): “Crisis, Transition, Resilience: Re–Imagining an Information–Resilient Society,” October 29 – November 1, 2022, Pittsburgh, PA.

Kelly, D., Liu, Y., Mayhew, A., Chen, Y., Cornwell, S. E., Delellis, N. S., & Rubin, V. L. (2022). Supporting Prosocial Behaviour in Online Communities through Social Media Affordances. The 85th Annual Meeting of the Association for Information Science and Technology (ASIS&T2022): “Crisis, Transition, Resilience: Re–Imagining an Information–Resilient Society,” October 29 – November 1, 2022, Pittsburgh, PA. October 29 – November 1, 2022, Pittsburgh, PA.

Kelly, D. & Rubin, V. L. (2022). Dark Pattern Typology: How Do Social Networking Sites Deter Disabling of User Accounts? 12th International Conference on Social Media & Society, July 18 -19, Toronto, Canada https://easychair.org/publications/preprint/GD6S

Mayhew, A., Chen, Y., Cornwell, S. E., Delellis, N. S., Kelly, D., Liu, Y., & Rubin, V. L. (2022). Envisioning Ethical Mass Influence Systems. The 85th Annual Meeting of the Association for Information Science and Technology (ASIS&T2022): “Crisis, Transition, Resilience: Re–Imagining an Information–Resilient Society,” October 29 – November 1, 2022, Pittsburgh, PA.October 29 – November 1, 2022, Pittsburgh, PA.

2020

Rubin, V.L., Burkell, J., Cornwell, S.E., Asubiaro, T., Chen, Y., Potts, D., and Brogly, C. (2020) AI Opaqueness: What Makes AI Systems More Transparent? (Panel), In the CAIS/ACSI2020 48th Annual Conference of the Canadian Association for Information Science Conference/l’Association canadienne des sciences de l’information, October 22, 2020. An Open Virtual Conference: “Diverging Trajectories in Information Science.” [The video content of 7 recorded mini-talks is accessible via https://www.cais2020.ca/ or at https://www.cais2020.ca/talk/ai-opaqueness/, or YouTube]

Nicole S. Delellis and Rubin V. L. (2020) ‘Fake News’ in the Context of Information Literacy: A Canadian Case Study. In . Dalkir, Kimiz and Katz, Rebecca(Eds.) IGI Global, pp. 89-115 Available at: https://www.igi-global.com/chapter/fake-news-in-the-context-of-information-literacy/249504

2019

Rubin, Victoria L. (2019). “Disinformation and Misinformation Triangle: a Conceptual Model for ‘Fake News’ Epidemic, Causal Factors and Interventions”, Journal of Documentation, Vol. 75 No. 5, pp. 1013-1034. https://doi.org/10.1108/JD-12-2018-0209

Brogly, C. & Rubin, V. L. ((2019) Detecting Clickbait: Here’s How to Do It / Comment détecter les pièges à clic. Canadian Journal of Information and Library Science, 42(3-4):154-175

Cornwell, Sarah L. and Rubin, Victoria L. (2019) “What Am I Reading?: Article-style Native Advertisements in Canadian Newspapers,” In the Proceedings of The Annual Hawaii International Conference on System Sciences (HICSS-52) [Coming out shortly] , 7-11 January, 2019, Maui, Hawaii.

2018

Asubiaro, Toluwase and Rubin, Victoria L. (2018) “Comparing Features of Fabricated and Legitimate Political News in Digital Environments (2016-2017)“, In the Proceedings for the Annual Meeting of the Association for Information Science and Technology (ASIS&T): Building and Sustaining an Ethical Future with Emerging Technology, November 10-14, 2019, Vancouver, Canada

[The associated data set will be released for (mostly) academic use to the general public.]

Delellis, Nicole and Rubin, Victoria L. (2018) “Educators’ Perceptions of Information Literacy and Skills Required to Spot ‘Fake News’ “, In the Proceedings for the Annual Meeting of the Association for Information Science and Technology (ASIS&T): Building and Sustaining an Ethical Future with Emerging Technology, November 10-14, 2019, Vancouver, Canada

Rubin, Victoria L. (2018). “La détection des nouvelles trompeuses et fallacieuses dans les contenus en ligne” [en en français] [or “Detecting Deceptive and Misleading News in Online Content,” an English pre-print will be made available upon request]. In Sauvageau, Florian, Thibault, Simon et Trudel, Pierre (eds.), Les fausses nouvelles, nouveaux visages, nouveaux défis. Comment déterminer la valeur de l’information dans les sociétés démocratiques ? Québec : Presses de l’Université Laval.

2017

Rubin Victoria L. (2017). News Verification Suite: Towards System Design To Supplement Reporters’ And Editors’ Judgements. In The Proceedings Of The 45th Annual Conference Of The Canadian Association For Information Science/L’Association Canadienne Des Sciences De L’information (CAIS/ACSI2017), Ryerson University, Toronto, May 31 – June 2, 2017.

Chen, Y. and Rubin, Victoria L. (2017). Perceptions Of Clickbait: A Q-Methodology Approach. In The Proceedings Of The 45th Annual Conference Of The Canadian Association For Information Science/L’Association Canadienne Des Sciences De L’information (CAIS/ACSI2017), Ryerson University, Toronto, May 31 – June 2, 2017.

Cornwell, S. E. L. and Rubin, Victoria L. (2017) Native Advertising: Ads In Disguise As Editorials. In The Proceedings Of The 45th Annual Conference Of The Canadian Association For Information Science/L’Association Canadienne Des Sciences De L’information (CAIS/ACSI2017), Ryerson University, Toronto, May 31 – June 2, 2017.

Rubin, Victoria L., (2017) Deception Detection And Rumor Debunking Methods The Sage Handbook Of Social Media Research Methods – Ethics And Methodological Challenges Panel. At The Canadian Communication Association Conference (CCA), Ryerson University, Toronto, May 30, 2017.

Rubin, V. L. (2017) Deception Detection and Rumor Debunking for Social Media. [Abstract available; pre-print upon request.] Chapter 21. In The SAGE Handbook of Social Media Research Methods, Chapter: Deception Detection and Rumor Debunking for Social Media , Publisher: Sage, Editors: Luke Sloan, Anabel Quan-Haase, pp.342-364 Library of Congress Control Number: 2016940832, ISBN 978-1-4739-1632-6

2016

Rubin, V. L., Conroy, N. J., Chen, Y., & Cornwell, S. (2016). Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News. In The Proceedings of the Workshop on Computational Approaches to Deception Detection at 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-CADD2016), June 17-18, San Diego, California

[The associated data set “Access S-n-L News DB2015-2016” was released for (mostly) academic use to the general public.]

2015

Chen, Y., Conroy, N. J., & Rubin, V. L. (2015). News in an Online World: The Need for an “Automatic Crap Detector”. In The Proceedings of the Association for Information Science and Technology Annual Meeting (ASIST2015), Nov. 6-10, St. Louis.

Chen, Y., Conroy, N. J., & Rubin, V. L. (2015). Misleading Online Content: Recognizing Clickbait as “False News”. ACM Workshop on Multimodal Deception Detection (WMDD 2015), joint with the International Conference on Multimodal Interaction (ICMI2015), November 9, 2015, Seattle, Washington, USA. http://dl.acm.org/citation.cfm?id=2823467

Conroy, N. J., Chen, Y., & Rubin, V. L. (2015). Automatic Deception Detection: Methods for Finding Fake News. In The Proceedings of the Association for Information Science and Technology Annual Meeting (ASIST2015), Nov. 6-10, St. Louis.

Rubin, V.L., Conroy, N., & Chen, Y. (2015). Towards News Verification: Deception Detection Methods for News Discourse. The Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium, Hawaii International Conference on System Sciences (HICSS48), January 2015.

Rubin, V. L., Chen, Y., and Conroy, N. (2015). Deception Detection for News: Three Types of Fakes. In The Proceedings of the Association for Information Science and Technology Annual Meeting (ASIST2015), Nov. 6-10, St. Louis.

2012 – 2014

Rubin, V.L. (2014) Pragmatic and Cultural Considerations for Deception Detection in Asian Languages. TALIP Perspectives, Guest Editorial Commentary, 13 (2).

Rubin, V.L. & Conroy, N. (2012). Discerning truth from deception: Human judgments & automation efforts. First Monday 17 (3-5). dx.doi.org/10.5210/fm.v17i3.3933

For earlier works and select full papers, see Dr. Rubin’s Profiles on