Corpus and survey dataset for effects of discursive proximization strategies

This dataset supports the research entitled "The cognitive-pragmatic effects of proximization in discourse of public health crisis: Evidence from corpus-based experiments".
The data include a Chinese news corpus on Covid-19 and two surveys. The corpus comprises 197 texts with 189,331 characters. It was compiled from reports spanning from late 2019 to mid-2022 on two major Chinese digitalized newspapers, and was segmented using CorpusWordParser 3.0.
The data of two surveys consist of the results of responses to questionnaires from a total sample of 560 participants, 216 for Experiment 1 and 344 for Experiment 2.
The primary aim of the study was to examine the language patterns enacting proximization strategies in Chinese news reports of Covid-19 and the effects of proximization upon audience perceptions.
The dataset for the surveys is fully anonymized and shared in accordance with institutional ethical standards and data protection protocols.