Measuring Bias in News Websites, Towards a Model for Personalization
File Type:
PDFItem Type:
Conference PaperDate:
2017Access:
openAccessCitation:
Spillane, B., Lawless, S. & Wade, V., Measuring Bias in News Websites, Towards a Model for Personalization, Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP - User Modeling, Adaptation and Personalization, Bratislava, Slovakia, 9-12 July 2017, M?ria Bielikov?, Eelco Herder, Federica Cena, Michel C. Desmarais:, 2017, 387 - 388Download Item:
Abstract:
This poster briefly elucidates on a crowdsourced exploratory study demonstrating the impact of common features of news websites' design on perceived bias. Type of news website, user characteristics, and the overall design, were shown to impact on perceived bias. The poster also reports the results of a novel method to validate and extend the initial results through comparative reevaluation. These confirmed the initial results and revealed additional significant findings. Lastly, the paper proposes a model of bias for personalizing news websites.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
13/RC/2106
Author's Homepage:
http://people.tcd.ie/spillanbhttp://people.tcd.ie/vwade
Other Titles:
Proceedings of the 25th Conference on User Modeling, Adaptation and PersonalizationUMAP - User Modeling, Adaptation and Personalization
Type of material:
Conference PaperCollections
Availability:
Full text availableKeywords:
Bias, Personalization, User modeling, News website designSubject (TCD):
Digital Engagement , BIAS , News , News Website Design , Personalisation , User ModelingDOI:
http://dx.doi.org/10.1145/3079628.3079647Metadata
Show full item recordLicences: