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. 2023 Feb 15;25:e42985. doi: 10.2196/42985

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©Yongtai Liu, Zhijun Yin, Congning Ni, Chao Yan, Zhiyu Wan, Bradley Malin. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.02.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

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Overall normalized urban and rural sentiment toward COVID-19 and 20 selected topics. The category ID for each topic is shown to the left of the topic name. The error bar indicates SD 1 for the sentiment. The 3 additional topics at the bottom (separated by the dotted lines) are displayed to provide readers with some intuition into the degree of positivity (or negativity) represented by the sentiment score. The raw P values from the Welch t tests are shown in the right column; bold text indicates a statistically significant difference (P<.05/20) after Bonferroni correction.