Papers by McKenna Tornblad

1 papers
Sensing and Learning Human Annotators Engaged in Narrative Sensemaking (N18-4)

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Challenge: a substantial sector of the gig economy is the use of crowdworkers to annotate data for machine learning and analysis.
Approach: They propose a narrative-sorting annotation task that sorts tweets chronologically by topic, emotional content, and length.
Outcome: The proposed task enables readers to sort sequential, target-topical, and emotionally emotional tweets.

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