Wondering how we measured "belief-speaking" and "fact-speaking"? We used a neat approach called "distributed dictionary representation" (see https://t.co/PGEEZ9wdl1) that allows us to measure the similarity of a text to the two honesty components. Here are
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RT @daniel_t_thiele: Implementing the 'Distributed Dictionary Representation' method introduced by Garten et al. (2018) https://t.co/RV4k9E…
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Implementing the 'Distributed Dictionary Representation' method introduced by Garten et al. (2018) https://t.co/RV4k9Ei4Qx
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Instead, we use a technique based on a natural language model that encodes the semantic similarity of words (i.e., meaning). So we can measure how much the words in a tweet are similar to moral virtue/vice words. https://t.co/cI9xaz4ykf