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Creators/Authors contains: "Henry K. Dambanemuya, Nicholas Diakopoulos"

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  1. (, Proc. Computation + Journalism Symposium)
    Smart speakers are becoming ubiquitous in daily life. The widespread and increasing use of smart speakers for news and information in society presents new questions related to the quality, source diversity and credibility, and reliability of algorithmic intermediaries for news consumption. While user adoption rates soar, audit instruments for assessing information quality in smart speakers are lagging. As an initial effort, we present a conceptual framework and data-driven approach for evaluating smart speakers for information quality. We demonstrate the application of our framework on the Amazon Alexa voice assistant and identify key information provenance and source credibility problems as well as systematic differences in the quality of responses about hard and soft news. Our study has broad implications for news media and society, content production, and information quality assessment. 
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    Accepted Manuscript Full Text Available