The DOI matches its Crossref record; 156 of the 158 references it cites were found in a registry or an index.
Capturing Clicks: How the Chinese Government Uses Clickbait to Compete for Visibility
Abstract
The proliferation of social media and digital technologies has made it necessary for governments to expand their focus beyond propaganda content in order to disseminate propaganda effectively. We identify a strategy of using clickbait to increase the visibility of political propaganda. We show that such a strategy is used across China by combining ethnography with a computational analysis of a novel dataset of the titles of 197,303 propaganda posts made by 213 Chinese city-level governments on WeChat. We find that Chinese propagandists face intense pressures to demonstrate their effectiveness on social media because their work is heavily quantified–measured, analyzed, and ranked–with metrics such as views and likes. Propagandists use both clickbait and non-propaganda content (e.g., lifestyle tips) to capture clicks, but rely more heavily on clickbait because it does not decrease space available for political propaganda. Government propagandists use clickbait at a rate commensurate with commercial and celebrity social media accounts. The use of clickbait is associated with more views and likes, as well as greater reach of government propaganda outlets and messages. These results reveal how the advertising-based business model and affordances of social media influence political propaganda and how government strategies to control information are moving beyond censorship, propaganda, and disinformation.
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“At the same time, social media companies play a problematic role: their algorithms, designed to maximize engagement and revenue, boost polarizing and manipulative content.41”
From The rise of authoritarian informationalism: escalating surveillance, manipulation, and control (2026) · cites this paper as [41]
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Metadata
- Authors
- Lu, Y., & Pan, J.
- Affiliations
- Stanford University (US)
- Corresponding author
- Pan, Jennifer
- Venue
- Political Communication
- Publisher
- Informa UK Limited
- Published
- 2020-07-20
- Volume
- 38
- Issue
- 1-2
- Pages
- 23-54
- ISSN
- 1058-4609 (ISSN-L)
- 1091-7675
- OpenAlex
- W3045397880
- Cited by
- 130
- References
- 158
- Citations by year
- 2026: 18 · 2025: 26 · 2024: 22 · 2023: 40 · 2022: 14 · 2021: 9
- FWCI
- 21.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Political Communication (publishedVersion)
- Funders
- National Science Foundation (1831481)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Communication › Social Media and Politics
- Keywords
- clickbait, political propaganda, state propaganda, WeChat, social media visibility, information control, censorship, disinformation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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