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Digital Journalism is a peer-reviewed journal published by Taylor & Francis, covering Media Studies and Communication, Social Media and Politics, Misinformation and Its Impacts.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Digital Journalism 12 (3): 45–58.
Formats any DOI in Digital Journalism style. No sign-up. |
| Publishes research in | Media Studies and Communication Social Media and Politics Misinformation and Its Impacts Public Relations and Crisis Communication Media Influence and Politics |
| ISSN | 2167-0811 |
| Citation impact (2-yr) | 5.19 |
| h-index | 111 |
| i10-index | 805 |
| Total citations | 52,993 |
| Top institutions publishing here | University of Amsterdam |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This paper is based on a review of how previous studies have defined and operationalized the term “fake news.” An examination of 34 academic articles that used the term “fake news” between 2003 and 2017 resulted in a typology of types of fake news: news satire, news parody, fabrication, manipulation, advertising, and propaganda. These definitions…
This paper examines the 2016 US presidential election campaign to identify problems with, causes of and solutions to the contemporary fake news phenomenon. To achieve this, we employ textual analysis and feedback from engagement, meetings and panels with technologists, journalists, editors, non-profits, public relations firms, analytics firms and academics during the globally leading technology conference,…
Every day automated algorithms make decisions that can amplify the power of businesses and governments. Yet as algorithms come to regulate more aspects of our lives, the contours of their power can remain difficult to grasp. This paper studies the notion of algorithmic accountability reporting as a mechanism for elucidating and articulating the power structures,…
The huge collections of news content which have become available through digital technologies both enable and warrant scientific inquiry, challenging journalism scholars to analyse unprecedented amounts of texts. We propose Latent Dirichlet Allocation (LDA) topic modelling as a tool to face this challenge. LDA is a cutting edge technique for content analysis, designed to automatically…
Among the emergent data-centric practices of journalism, none appear to be as potentially disruptive as “automated journalism.” The term denotes algorithmic processes that convert data into narrative news texts with limited to no human intervention beyond the initial programming choices. The growing ability of machine-written news texts portends new possibilities for an expansive terrain of…
