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BASE: a Bias-Aware news Search Engine for improving user awareness [Prototype

Authors: Monica Lestari Paramita;

BASE: a Bias-Aware news Search Engine for improving user awareness [Prototype

Abstract

The BASE prototype aims to improve user awareness of biases in search engine results. It utilises existing resources and NLP tools to identify biases in news articles. It incorporates bias visualisation features to inform users of biases in each news article and at the search results level. It also incorporates results reranking features to allow users to retrieve different sets of results based on their search preferences. Preliminary evaluation results suggest the prototype achieves a positive usability score (64.3 out of 100) and has a potential for increasing user awareness of biases, with the reranking features rated more useful than the bias visualisation features.

This work has been partly supported by the project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 739578 (RISE – Call: H2020-WIDESPREAD-01-2016-2017-TeamingPhase2) and the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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