China Mandarin public attention measured by Baidu index
Main Article Content
Abstract
As China’s dominant search engine, Baidu launched Baidu Index to collect and analyze internet search trends. This study explores the application of the Baidu Index for monitoring online search behavior related to Mandarin and interpreting its driving forces. Baidu Index data for the keyword Mandarin from January 2011 to February 2026 were retrieved, covering search trends, geographical distribution, and demographic characteristics. Mandarin search volume has increased structurally and remained elevated since 2018, fluctuating periodically alongside the National Mandarin Promotion Week. Regional disparities exist in its popularity, with higher levels in eastern, coastal, and central urban areas. Users aged 20–29 are the dominant group, accounting for 44.43% of total searches with a TGI of 279.86. The spatiotemporal evolution and group characteristics of Mandarin attention reflect the complex interplay of national language policies, socio-economic development, educational resource distribution, and individual career development needs.
Keywords: Mandarin; Baidu Index; public attention
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).