Summary of Individual Text Corpora Predict Openness, Interests, Knowledge and Level Of Education, by Markus J. Hofmann et al.
Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education
by Markus J. Hofmann, Markus T. Jansen, Christoph Wigbels, Benny Briesemeister, Arthur M. Jacobs
First submitted to arxiv on: 29 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The research explores the connection between an individual’s openness to experience personality trait and their Google search history. The study scraped online text data from 214 participants, creating corpora with millions of word tokens each. Word2vec models were trained to analyze these corpora, labeling words based on similarities derived from a lexical approach to personality. Neural networks used the labeled word features as predictive inputs, achieving an R2 score of 35% in predicting openness variance. The findings suggest that individual Google search histories can be a valuable complement or alternative to traditional survey-based methods in understanding personality traits. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The study looks at how well someone’s internet searches can predict their openness to new experiences. It collected and analyzed data from over 200 people, looking at the words they used online. The researchers trained special computer models to understand these words, then used those models to see if they could predict how open someone was to new things based on what they searched for online. They found that this method can be pretty accurate, predicting about one-third of the difference in openness between people. This suggests that looking at someone’s internet searches might be a useful way to get a better sense of their personality. |
Keywords
» Artificial intelligence » Word2vec
