A Study Of Twitter Users’ Responsibility Attribution And Sentimental Expression For The Security Of Huawei Devices

In recent years,against the backdrop of rapid economic development in C hina,a group of C hinese IT companies represented by Huawei have formed strong competitiveness with their technical strength and accelerated their entry into overseas markets.However,in the context of C hina-US relations in the new era and the rise of C hina,C hinese IT companies are facing severe challenges from public opinion environment in international social media.As the world’s leading provider of ICT infrastructure and intelligent terminals,Huawei has been questioned and accused by politicians,media,and the public from western countries regarding its equipment security.This article takes the network discussion on Huawei equipment security issue as the research object,and uses computer-assisted content analysis based on the attribution theory to explore the attribution preferences and characteristics of sentimental expressions of Twitter users.And the mechanism of how responsibility attribution influences sentimental expression and emotion aroused effect in the process of public opinion transmission have also been studied in this article.The study found that in the network discussion about the security of Huawei equipment,attribution-free expression and sentimental expression are universal.Although the public have various attribution preferences when performing respo nsibility attribution,they mainly focus on Huawei ’s Chinese corporate identity,and Huawei ’s threat to US technology advantage,which are highly relevant to ideology;certified users are more inclined to attribute based on ideology than non-certified users.Attribution preferences have a significant impact on sentiments.Compared with other attribution types,the tweets with ideological attributions are more negative,but the overall network sentiment valence is generally stable,and expressions with negative sentiment are common.Emotion aroused effect is significant in the process of public opinion transmission.Sentimental expression and negative expression can get more support than no emotion expression and positive expression.The degree of sentimental expression of tweets has a significant positive correlation with the number of likes and comments received.At last,some suggestions for enterprises to deal with the current public opinion challenges are provided according to what we found in this research and previous research results.