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As an interdisciplinary field, data-driven journalism integrates the intellectual origins of investigative journalism, computer-assisted reporting, and the emerging paradigm of computational social science. Studies of news production have revealed, however, that news professionals are reinforcing existing power structures via an interpretive community, where homophily-evoked social interactions—even in the social media context—create echo chambers and discussion fragmentation. Is the representation of data-driven journalism in the electronic public sphere breaking boundaries among people from different domains or does it resemble the existing power structure? This study adopts a network analytics approach and constructs a representational network among actors who joined the public discussion of data-driven journalism in the Twittersphere—the co-retweeted network—such that two accounts are connected if their tweets are retweeted by the same user. Public tweets containing search queries related to data-driven journalism published from February 2017 to February 2018 were collected with Twitter real-time streaming application programming interface (API). A co-retweeted network with 1,148 accounts was derived from verified accounts' retweeting posts. Results found that several communities emerged, and news organizations, nongovernmental and nonprofit professional organizations, and academic institutions were in the crucial positions of the network. The exponential random graph models (ERGMs) based on this network revealed the extent to which gender, geographical location, and institutional type of the users were associated with the tie-formation. This study documents the major actors who are discussing the subject of data-driven journalism and raises critical reflections toward the interdisciplinary collaboration in the production of public knowledge. [ABSTRACT FROM AUTHOR]

The contribution of professional journalism to democratic citizenship is well-established, but the proliferation of online user-generated news begs the question of whether citizen journalism plays a similar role. Use and trust of both professional and citizen journalism were investigated for their associations with political knowledge and participation. User-generated journalism was negatively related with knowledge of national political figures, but strongly and positively associated with higher levels of online and offline participation; professional news media produced gains in knowledge and offline participation. Trust in user-generated news amplified the link between citizen journalism and online participation. [ABSTRACT FROM AUTHOR]

This study examined whether information about a writer and hyperlinks on a citizen journalism Web site affected the perceived credibility of stories. Participants read stories from a popular citizen journalism Web site and rated the stories in terms of perceived credibility. Results show that hyperlinks and information about the writer do enhance perceived story credibility. Credibility is enhanced most greatly when both hyperlink and writer information are included and, to a lesser extent, when just hyperlink or writer information is present. [ABSTRACT FROM AUTHOR]

In the comparison of user and professionally developed online content, readers did not consider the source as significant when they assessed the fairness, believability or quality of an opinion piece. [ABSTRACT FROM AUTHOR]