4. Results
This article categorizes and encodes a total of 215 main posts published by six external communication media during the Winter Olympics. Through descriptive statistics of the research samples, the following sample results were obtained, as shown in
Table 1:
On the level of information presentation, describing risk scientifically accounts for 41.1%, and passing information risk only accounts for 40.5%. Neither of these proportions exceeds half, indicating that Chinese external communication media intentionally downplays direct discussions of risks during the Winter Olympics to avoid causing public panic. By reducing the frequency of risk presentation, the media may hope to shift the focus to more positive aspects, thereby maintaining social stability. However, in contrast, 54.9% of the main post content involves enhancing risk alertness, a proportion that exceeds half, indicating that external communication media is still striving to remind the public of current crises and potential consequences. This strategy shows a dual goal in information dissemination: on the one hand, to downplay risks and reduce panic, and on the other hand, to emphasize vigilance to ensure public awareness of crises.
On the level of dialogue intervention, the proportion of dialogue expansion is 40%, which means that Chinese external communication media relies less on external voices to support its own views, resulting in relatively weak extensibility of dialogue space. The media tends to lead with internal viewpoints and reduce interaction with external voices to maintain the unity and authority of information dissemination. In terms of dialogue contraction, 54.42% of the content does not use opinion guidance, indicating that Chinese external communication media chooses not to evaluate others in most cases, focusing more on self-expression. Especially, 28.84% of the content focuses on self-evaluation or promotion, further indicating that external communication media hopes to consolidate its position and viewpoints through self-statement, highlighting its dominant position in information dissemination.
On the level of technical functionailty, 71.6% of the main posts use tag#, indicating that Chinese external communication media has made relatively full use of this important function of Facebook to enhance the visibility and relevance of content. However, the use of mention@ is only 2 cases, accounting for 0.5%, and the sample data is too small to conduct further analysis. This may reflect that in external communication strategies, the media is not inclined to interact directly or mention other accounts. In the use of audio-visual information, only 27.9% of the main posts contain video content, a proportion that is relatively low, showing that in today’s short video-dominated social media environment, the form of external communication media still needs to be further enriched. At the same time, 60% of the main posts use hyperlink functions, indicating that external communication media hopes to guide users to obtain more related information, strengthen the understanding and recognition of the main post content, and thus achieve a deeper communication effect.
This paper employs confirmatory factor analysis to validate the constructs of information presentation and dialogue intervention. The information presentation dimension consists of three variables : describing risk scientifically, passing risk information, enhancing risk alertness, and the dialogue dimension includes two variables : dialogue expansion , dialogue contraction. The model fit analysis (see
Table 2) results show that the goodness of fit index (GFI), comparative fit index (CFI), normed fit index (NFI), Non-Normed fit index(NNFI), adjusted goodness of fit index (AGFI), and incremental fit index (IFI) are all greater than 0.9. Meanwhile, the root mean square error of approximation (RMSEA) is 0.0062, less than 0.08, the root mean square residual (RMR) is less than 0.05, and the standardized root mean square residual (SRMR) is 0.039, also less than 0.10. This indicates that the confirmatory factor analysis model constructed in this study is valid and has a good fit with the collected data, possessing good validity (see
Table 3 and
Table 4). For technical functionality, we removed factors with factor loadings less than 0.4 (tag#). The average variance extracted (AVE) value of the remaining factors is 0.606, and the composite reliability (CR) among groups is 0.735, which is statistically significant.
We employs multiple linear regression to analyze the causal relationship between independent variables and the communication effectiveness of Facebook in
Table 5, thereby testing hypotheses H1a and H1b. The Durbin-Watson (DW) statistic for the independence of residuals ranges from 1.423 to 1.614, all below 2, indicating that residuals are independent and linear regression analysis is feasible. The R² value is 0.306, and the adjusted R² is 0.294, suggesting a good fit of the regression curve.
Describing risk scientifically positively affects communication effectiveness of Facebook (, p=0.007). This implies that when external communication media use numerical or scientific data to describe risks on Facebook, it can enhance the credibility and persuasiveness of the message, thereby improving communication effectiveness. Since audiences tend to trust concrete data and scientific evidence more, this quantified argumentation can effectively reduce uncertainty and strengthen the impact of information dissemination, thus confirming H1a. Passing risk information positively affects the communication effectiveness of Facebook (, p=0.003). By clearly depicting potential losses, audiences can better sense the severity of the crisis, making them more likely to take action or spread the message, thus confirming H1b. Enhancing risk alertness significantly positively impacts the communication effectiveness of Facebook (, p=0.045). Risk alerts can heighten audiences’ awareness and attention, thereby improving communication effectiveness. Informing audiences about crisis management methods not only increases the practicality of the information but also boosts its forwarding and dissemination rates, thus confirming H1c.
Dialogue expansion significantly positively affects the communication effectiveness of Facebook (, p=0.000). This means that when external communication media cite reliable sources to support their viewpoints, it can significantly enhance the credibility and communication effectiveness of the message. Citing credible external sources reduces uncertainty and increases audience trust in the information, thereby expanding its reach and effectiveness, thus confirming H2a. Dialogue contraction does not significantly affect the communication effectiveness of Facebook (, p=0.148), indicating that dialogue contraction does not significantly influence communication effectiveness, thus H2b is not supported. Although dialogue contraction may strengthen message consistency through self-evaluation or promotion, the lack of diverse perspectives supported by external voices may not resonate with audiences, leaving the communication effectiveness unaffected. This suggests that communication strategies relying solely on self-evaluation or promotion without external support may not effectively enhance communication effectiveness.
This paper uses SPSSAU to test Hypothesis 3, in order to verify whether hyperlink can respectively influence the effects of information presentation and dialogue intervention on the communication effectiveness of Facebook. The results show that there is no significant moderating effect of hyperlinks between information presentation and communication effectiveness (p=0.478), indicating that the hyperlink function failed to enhance or weaken the impact of information presentation on communication effectiveness; therefore, Hypothesis 3a is not supported.
However, the results in
Table 6 indicate that hyperlinks play a significant positive moderating role between dialogue intervention and communication effectiveness (
, p=0.012), supporting Hypothesis 3b. This suggests that when using the hyperlink function, the impact of dialogue intervention on communication effectiveness becomes more pronounced. Simple slope graphs further show that as the level of dialogue intervention increases, communication effectiveness of Facebook significantly enhances. In other words, when external communication media use hyperlinks in conjunction with dialogue intervention, they can effectively amplify their communication effectiveness, allowing the message to spread more widely and gain higher recognition, thus supporting Hypothesis 3b. This outcome may be due to the hyperlinks providing additional information resources and background materials, enabling the audience to comprehensively understand the content of the dialogue, thereby improving communication effectiveness.
Finally, to examine the mediating role of technical functionality, a structural equation model was established with information presentation and dialogue intervention as independent variables, technical functionality as the mediating variable, and communication effectiveness of Facebook as the dependent variable. The model fit results show that the chi-square to degrees of freedom ratio is less than 3, and the RMSEA value is less than 0.08, indicating that the modified model fits the requirements; the values of GFI, CFI, NFI, AGFI, and IFI are all greater than 0.9, indicating good model fit (see in
Table 7).
To further explore the mechanism of influence of technical functionality, we calculate the total effect and its components of information presentation and dialogue intervention on communication effectiveness of Facebook based on the final structural equation model diagram, as shown in
Table 8. The results show that: the direct effect of information presentation on communication effectiveness of Facebook is 1.993, with an indirect effect of 0.174 through technical functions; the direct effect of dialogue intervention on communication effectiveness of Facebook is 0.340, with no indirect effect through technical functions. Therefore, the structural model as shown in
Figure 3) was modified.
Table 9 provides a comprehensive summary of the validation status of the hypotheses presented in this study.