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Author(s):
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Markus Brenneis, Martin Mauve
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Title:
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Do I Argue Like Them? A Human Baseline for Comparing Attitudes in Argumentations
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Published:
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In Proceedings, November 2020
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Keyword(s):
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argumentation graphs, metric, human baseline
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Abstract:
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When different persons exchange their attitudes in an argumentation, it is useful to measure how similar the attitudes in that argumentation are: for distance-based recommender systems which suggest other arguments, finding clusters of similar people, or comparing one's own attitude with the attitudes of political parties. Those applications need a mathematical metric to calculate the distance between two attitudes in an argumentation. But which properties should an intuitive metric fulfill? We surveyed untrained persons to find out which properties such a metric should have to produce results matching human intuition. For that, we formulated several hypotheses for useful properties, which we then tried to confirm in our survey. As a result, we were able to identify some properties a metric for comparing attitudes represented as argumentation graphs should have, and some properties where further research is needed.
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Bib entry:
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[BibTeX]
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