The predictive utility of word familiarity for online engagements and funding
| Autor: | David M. Markowitz, Hillary C. Shulman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Male
Electronic Data Processing Psychological Tests Multidisciplinary Field (Bourdieu) Social Sciences Metacognition Recognition Psychology Jargon Phenomenon Scale (social sciences) Data Mining Humans Female Comprehension Psychology Processing fluency Language Simple (philosophy) Cognitive psychology Underscore |
| Zdroj: | Proc Natl Acad Sci U S A |
| ISSN: | 1091-6490 0027-8424 |
| DOI: | 10.1073/pnas.2026045118 |
| Popis: | Metacognitive frameworks such as processing fluency often suggest people respond more favorably to simple and common language versus complex and technical language. It is easier for people to process information that is simple and nontechnical compared to complex information, therefore leading to more engagement with targets. In two studies covering 12 field samples (total n = 1,064,533), we establish and replicate this simpler-is-better phenomenon by demonstrating people engage more with nontechnical language when giving their time and attention (e.g., simple online language tends to receive more social engagements). However, people respond to complex language when giving their money (e.g., complex language within charitable giving campaigns and grant abstracts tend to receive more money). This evidence suggests people engage with the heuristic of complex language differently depending on a time or money target. These results underscore language as a lens into social and psychological processes and computational methods to measure text patterns at scale. |
| Databáze: | OpenAIRE |
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