Evidence map›Paper›PMID 39509702›Full record

ArticleJournal of medical Internet research2024

Social Media Marketing Strategies for Electronic Cigarettes: Content Analysis of Chinese Weibo Accounts.

Xinyi Zhou, Xinyu Hao, Yuhang Chen, Hui Deng, Ling Fang, Lingyun Zhang, Xiaotao Yan, Pinpin Zheng, Fan Wang

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xinyi Zhou *Fudan Development Institute, Fudan University, Shanghai, China.ORCID 0009-0007-4780-7636
Xinyu Hao *School of Politics and International Relations, East China Normal University, Shanghai, China.ORCID 0009-0001-5617-1381
Yuhang ChenSchool of Journalism, Fudan University, Shanghai, China.ORCID 0000-0001-6862-2541
Hui DengDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-7739-0751
Ling FangDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0001-5641-1587
Lingyun ZhangDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-6237-8936
Xiaotao YanDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-6636-4910
Pinpin ZhengDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, China.ORCID 0000-0003-3902-2955
Fan WangFudan Development Institute, Fudan University, Shanghai, China.ORCID 0000-0002-1869-4552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundE-cigarettes have gained popularity among teenagers due to extensive marketing strategies on social media platforms. This widespread promotion is a risk factor, as it fosters more positive attitudes toward e-cigarette use among teenagers and increases the perception that using e-cigarettes is normal. Therefore, the marketing of e-cigarettes on social media is a serious global health concern, and its strategies and impact should be clearly identified.

objectiveThis study examined how e-cigarette companies popularize their products via Weibo and identified the specific strategies influencing the effectiveness of their marketing.

methodsIn phase 1, we conducted a search on Qcc.com and identified 32 e-cigarette brands with active Weibo accounts between October 1 and December 31, 2020, along with 863 Weibo posts. The data were investigated through content analysis. The codebook was developed into four categories: (1) product and features, (2) sales and promotions, (3) social contact and interaction, and (4) restrictions and warnings. To further understand the factors influencing e-cigarette brand marketing, we conducted a multiple linear regression analysis.

resultsMarketing tactics by e-cigarette companies on Chinese social media were documented, including emphasizing attractive product features, using trendy characters, implicit promotions, downplaying health concerns, and engaging with Weibo users in various ways. Out of 863 posts, 449 (52%) mentioned product characteristics. In 313 (36.3%) posts, visible figures were used to attract attention. Product promotion was absent in 762 (88.3%) posts, and purchase channels were not mentioned in 790 (98.3%) posts. Social interaction-related posts received attention (n=548, 63.5%), particularly those featuring hashtag content (n=538, 62.3%). Most posts did not include claims for restrictions on teenagers' purchases or use (n=687, 79.6%) or information on health warnings (n=839, 97.2%). Multiple linear regression analysis identified marketing strategies that effectively increase the exposure of e-cigarette posts on Weibo. Posts including engagement via posts encouraging reposts, comments, and likes (P<.001) and engagement topics related to e-cigarette brands were positively correlated with the number of reposts (P=.009). Posts highlighting nonmonetary incentives (P=.004), posts with age restriction statements (P<.001), engaging via stories and idea collection (P<.001), and engagement topics related to products (P<.001) and current affairs (P=.002) had a positive effect on the number of comments. Engagement topics related to brands (P<.001) or interactive sweepstakes (P<.001) had a positive effect on the number of likes.

conclusionsE-cigarette posts on Weibo that focus on product features and social interaction attract public attention, especially from teenagers. Stricter regulations and monitoring should be adopted to restrict the social media marketing of e-cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsMarketingSocial MediaAdolescentChinaHumanscontent analysise-cigarettemarketing strategysocial mediateenagers

Identifiers

PMID39509702
PMCPMC11582489

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.