Suchergebnisse

Twitter is a powerful digital journalistic instrument and evidence shows journalists were transferring authority to Twitter. With journalistic information ecology becoming imbalanced, it is valuable to research how journalists may use Twitter to discover accurate and reliable information and maintain a vast overview of news events without shifting the power as the fourth estate. The purpose of this study is to provide a possible digital journalistic inquiry model to identify trending topics, distinguish reliable journalistic information while maintaining the balance of journalistic information ecology. Utilizing a large-scale dataset – 1.2 million tweets collected from Twitter API – this study executed cutting-edge network analysis and sentiment analysis to fill in the knowledge gap through a case study on Hurricane Dorian. The study found that the impact of traditional opinion leaders on information diffusion is declining. On the contrary, top in-degree centrality users play more important roles in information diffusion on Twitter. Moreover, tweets with negative polarity opinions were retweeted more. In addition, non-opinion leaders' negatively polarized tweets were retweeted more than positively polarized ones, although it is not the same case with opinion leaders. With the change of journalistic ecology, identifying top in-degree centrality users and examining their tweets will provide useful resources for journalists to identify keywords, trending themes and predict how likely a topic may interest audience based on degree of polarity and number of retweets on Twitter. The results provide useful patterns for journalists to follow in sensemaking tasks in digital journalistic inquiry.

This study seeks to uncover the effects of source and repetition on the illusory truth effect and the dissemination of fake news on social media with an online experiment. This study found that in a personalized source system where trustworthy traditional news sources and personal contacts converged on social media, repetition has a big influence on the trustworthiness of news source and balance of news story. Although most people intend to share real news stories with balance, the illusory truth effect causes mis-judgement, which makes fake news more likely to go viral than real news. The multi-group SEM analysis of the two groups – without source and with source – showed that readers in the no source group rated the effect of repetition on news evaluation as more significant than the with source group. The findings suggest that the effect of source has diminished in the evaluation of news quality. However, sharers on social media are becoming more influential.

This study seeks to understand how American journalists integrate social media in news production by conducting semi-structured qualitative interviews. Thirteen journalists and editors from thirteen newsrooms of variety size, and multiple platforms (newspaper, radio, television, magazine
to online-only news organizations) were interviewed. Based on the media richness theory, the study shed light on how journalists delve into the virtual world, build connections between virtuality and reality through finding sources, interacting with audiences, constructing communities in the
virtuality and integrating virtuality with reality into the news production process. With its rich multimedia features that allow immediate interaction between journalists and audiences, social media has become a rich medium that connects virtuality to reality in social news and, in particular,
immersive journalism.