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Concluding Our Characterizing Biases in Cable News Study

21 May 2024

The primary objective of this paper was to develop a model capable of characterizing the biases of cable news programs given a large volume of text data

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Characterizing Cable News Bias: Discussing What It All Means

20 May 2024

This research yielded several significant results. Firstly, our findings suggest that it is feasible to computationally extract media bias characterizations

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What Were the Results of Our Study to Characterize Cable News Bias?

20 May 2024

The program clusters are consistent over time, although there are a few periods of major movement between months.

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Characterizing Cable News Bias: The Methodology You Have to Understand

20 May 2024

Using NexisUni, we obtained all transcripts from Fox News, MSNBC, and CNN from January 2020 to December 2020, a total of 14,000 transcripts.

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From Nuisance to News Sense: Discussion

20 May 2024

NEWSSENSE is a novel sensemaking tool and reading interface designed to collect and integrate information from multiple news articles on a central topic.

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From Nuisance to News Sense: The NEWSSENSE Framework

20 May 2024

NEWSSENSE is a novel sensemaking tool and reading interface designed to collect and integrate information from multiple news articles on a central topic.

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From Nuisance to News Sense: Related Work

20 May 2024

NEWSSENSE is a novel sensemaking tool and reading interface designed to collect and integrate information from multiple news articles on a central topic.

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From Nuisance to News Sense: System Overview

20 May 2024

NEWSSENSE is a novel sensemaking tool and reading interface designed to collect and integrate information from multiple news articles on a central topic.

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From Nuisance to News Sense: Conclusion, Limitations and Ethic, and References

20 May 2024

NEWSSENSE is a novel sensemaking tool and reading interface designed to collect and integrate information from multiple news articles on a central topic.