Suchergebnisse

Trust in online digital news has become a significant concern affecting social cohesion in China. Under the framework of folk theories, we interviewed urban and rural residents' perceptions and imaginations of digital news credibility in China's digital journalism environment. The study finds that digital media giants in China are utilised by both urban and rural residents. Regarding the behaviour of news avoidance, scepticism of digital news accounts for only a tiny fraction of the reasons held by news avoiders. Chinese urban and rural residents have similar perceptions about the impact of news forms, quality of information, and individual stances on digital news, while rural residents show uncertainty about the transparency of news production, which may be related to their education level and media literacy. The relationship between recommendation algorithms and news trust is overlooked by respondents. In addition, news seekers are more likely to display herd behaviours, which may mislead their judgment of news credibility. News avoiders may refuse to consume news because of their distaste for China's digital news atmosphere, such as the ubiquity of unpleasant emotions, preconceived opinions, and attention-grabbing clickbait headlines.

During the Russia–Ukraine conflict, social media has become an outlet for public opinion; therefore, besides the hot war, information warfare is also taking place. It was discovered that a large number of new social bot accounts had emerged on Twitter since the outbreak of the conflict. In particular, the Twitter account @UAWeapons has grown its following by hundreds of thousands in fewer than 30 days and has established itself as an influential opinion leader. Through data mining and three different analysis methods, this study investigated how social bots grew to influence public opinion. Specifically, time-series analysis revealed an unusual pattern of "pulsing" changes in the number of tweets posted by @UAWeapons over time. The content analysis illustrated that the account posted biased tweets in favor of Ukraine under the guise of being a neutral messenger, which led to frequent retweets from social bots with similar opinions. Finally, the results of the social network analysis indicated that @UAWeapons' rapid growth might be attributed to a strategy of network clustering implemented by a core group of social bot accounts.