Sina Weibo Posts Research Articles

Social media-based visual humour use in tourism marketing: a semiotic perspective

Tourism firms using visual social media marketing are struggling with its implementation, specifically in formulating engagement-based visual message strategies. Yet, creating such appealing posts can lead to positive brand and financial outcomes. Humour has been identified as a potent tool for social media communication, given its capability to develop social interactions. Yet, how humour works on social media is not well understood – specifically its visual form. Treating humour as a symbolic resource, this study adopted a compound content analysis-semiotic analysis to identify visual content and its symbolic meaning embedded in destination marketing organization (DMO)’s social media posts. 200 Sina Weibo posts containing humour images initiated by 5 Chinese provincial DMOs were collected. The results show 6 types of humour content and6 types of symbolic meaning – none of which are product-related. This study advances the tourism literature and humour theory, and offers tourism firms a holistic view of how to fully leverage social media-based visual humour to achieve consumer reach and engagement.

Trust collapse caused by the Changsheng vaccine crisis in China

BackgroundThe public acceptance and implementation of vaccination programs is essential to prevent infectious diseases. However, vaccine adverse events may cause public panic and eventually lead to an increasing number of populations who were hesitant or refuse to participate in these vaccination programs. In 2018, the Changsheng vaccine crisis broke out in mainland China, and 252,600 unqualified DTP vaccines were reported to be used for child vaccination. In this study, we observed media and public reactions toward the vaccine crisis. MethodsThis study conducted Internet surveillance by four mainstream indicators from July 15th to August 7th, including social media (WeChat, Sina Weibo), online news and Baidu search index. We also analyzed the emotional perceptions of people in crisis through an online questionnaire survey. ResultsDuring the crisis, huge number of articles emerged on Internet, 125,882,894 articles (including forwarding) on WeChat friends circle, 1,877,660 Sina Weibo posts, 648,265 online news and 4,986,521 Baidu search indexes. Most of these articles were negative and expressed the public’s weak confidence to the China-made vaccines. Public confidence in vaccines was undermined by the actions of the manufacturer and the government. ConclusionsThe DTP vaccine crisis led to panic about immunization and eroded trust in the immunization program and in the government. Restoring public confidence in Chinese-made vaccines will take a long time, and meticulous management in vaccine production, and strict government regulation will help to alleviate public anxiety about vaccine safety and ultimately restore confidence.

An ensemble forecast model of dengue in Guangzhou, China using climate and social media surveillance data

BackgroundChina experienced an unprecedented outbreak of dengue in 2014, and the number of dengue cases reached the highest level over the past 25 years. There is a significant delay in the release of official case count data, and our ability to timely track the timing and magnitude of local outbreaks of dengue remains limited. Material and methodsWe developed an ensemble penalized regression algorithm (EPRA) for initializing near-real time forecasts of the dengue epidemic trajectory by integrating different penalties (LASSO, Ridge, Elastic Net, SCAD and MCP) with the techniques of iteratively sampling and model averaging. Multiple streams of near-real time data including dengue-related Baidu searches, Sina Weibo posts, and climatic conditions with historical dengue incidence were used. We compared the predictive power of the EPRA with the alternates, penalized regression models using single penalties, to retrospectively forecast weekly dengue incidence and detect outbreak occurrence defined using different cutoffs, during the periods of 2011–2016 in Guangzhou, south China. ResultsThe EPRA showed the best or at least comparable performance for 1-, 2-week ahead out-of-sample and leave-one-out cross validation forecasts. The findings indicate that skillful near-real time forecasts of dengue and confidence in those predictions can be made. For detecting dengue outbreaks, the EPRA predicted periods of high incidence of dengue more accurately than the alternates. ConclusionThis study developed a statistically rigorous approach for near-real time forecast of dengue in China. The EPRA provides skillful forecasts and can be used as timely and complementary ways to assess dengue dynamics, which will help to design interventions to mitigate dengue transmission.

Social Media's Initial Reaction to Information and Misinformation on Ebola, August 2014: Facts and Rumors.

We analyzed misinformation about Ebola circulating on Twitter and Sina Weibo, the leading Chinese microblog platform, at the outset of the global response to the 2014-2015 Ebola epidemic to help public health agencies develop their social media communication strategies. We retrieved Twitter and Sina Weibo data created within 24 hours of the World Health Organization announcement of a Public Health Emergency of International Concern (Batch 1 from August 8, 2014, 06:50:00 Greenwich Mean Time [GMT] to August 9, 2014, 06:49:59 GMT) and seven days later (Batch 2 from August 15, 2014, 06:50:00 GMT to August 16, 2014, 06:49:59 GMT). We obtained and analyzed a 1% random sample of tweets containing the keyword Ebola. We retrieved all Sina Weibo posts with Chinese keywords for Ebola for analysis. We analyzed changes in frequencies of keywords, hashtags, and Web links using relative risk (RR) and c(2) feature selection algorithm. We identified misinformation by manual coding and categorizing randomly selected sub-datasets. We identified two speculative treatments (i.e., bathing in or drinking saltwater and ingestion of Nano Silver, an experimental drug) in our analysis of changes in frequencies of keywords and hashtags. Saltwater was speculated to be protective against Ebola in Batch 1 tweets but their mentions decreased in Batch 2 (RR=0.11 for "salt" and RR=0.14 for "water"). Nano Silver mentions were higher in Batch 2 than in Batch 1 (RR=10.5). In our manually coded samples, Ebola-related misinformation constituted about 2% of Twitter and Sina Weibo content. A range of 36%-58% of the posts were news about the Ebola outbreak and 19%-24% of the posts were health information and responses to misinformation in both batches. In Batch 2, 43% of Chinese microblogs focused on the Chinese government sending medical assistance to Guinea. Misinformation about Ebola was circulated at a very low level globally in social media in either batch. Qualitative and quantitative analyses of social media posts can provide relevant information to public health agencies during emergency responses.

Media and public reactions toward vaccination during the ‘hepatitis B vaccine crisis’ in China

BackgroundPublic disputations affected vaccine confidence and vaccine rates particularly when adverse events occur. The vigorous development of Internet in China provides an opportunity to observe public reaction and sentiment toward vaccination when Kangtai Hepatitis B vaccine crisis happened and evolved to a widespread debate on the internet from December 12, 2013 to January 3, 2014. MethodsThis study conducted Internet surveillance by examining three daily indicators including the daily number of relevant online news article, Sina Weibo posts and Baidu search index during the crisis. We also analyzed the sentiments of relevant original microblog posts collected from Sina Weibo platform in the crisis. ResultsA total of 17 infant deaths were reported to associated with Hepatitis B vaccination. Three major waves of high media and public attention were detected. The daily indicators reached their peaks in the second wave after the relevant vaccine was suspended by the authority (from December 20 to December 29, 2013) with 23,200 daily online news reports, 34,018 Sina Weibo posts and 17,832 Baidu search indices. There were significant correlations between the daily amount of online news, Weibo posts, and Baidu searches (p<.001). The contents analysis suggested 1343 out of 1608 (83.5%) original Weibo posts expressed negative sentiment with almost 90% in the second wave. ConclusionThis study found the Kangtai vaccine crisis raised great public attention and negative sentiment toward vaccinations on the internet in China. Policy change such as suspension of the suspected vaccine might trigger even greater reaction and more negative sentiment. The government should provide ways to address emerging public concerns after policy change to avoid misinformation and misunderstanding during such a vaccine crisis.

Social Inclusion or Exclusion?: When Weibo (Microblogging) Meets the "New Generation" of Rural Migrant Workers

The rapid development of social media has had a profound impact on how people access and share information in China. Some researchers suggest that the new social media has broken through the monolithic propaganda of traditional Chinese media and brought a diversity of topics and perspectives into view. Others argue that platforms such as Weibo (microblogging) largely privilege the opinions of well-educated, middle class individuals, keeping working class industrial and rural workers' voices on the margins. The question remains: has the development of social media bridged or deepened the "digital divide"? In an effort to address this question, this paper explores the appearance of members of a "new generation" of migrant workers on Sina Weibo, the most popular microblogging service in China. Drawing on the results a study of Sina Weibo posts, reposts, and authors, this paper offers three main arguments: (1) Weibo is not only a means for sharing information and expressing opinions, it is also a platform where users mobilize to improve the lives of migrant workers in cities; (2) Weibo provides an emotional outlet, offering members of the "new generation" of migrant workers the opportunity to express dissatisfaction with the bitter reality of their lives and a longing for a better life; and (3) The most influential users of this microblogging platform tend to be media figures, scholars, government officials, and other individuals from outside the community. The author concludes that more effort needs to be made so that, instead of creating new inequalities, social media technology can be of assistance to members of socially marginalized groups.