CfP: Special issue of New Media & Society — “Truth, facts, and fake: The shifting epistemologies of news in a digital age”

I’m excited to announce the following call for papers for a special issue of New Media & Society: “Truth, facts, and fake: The shifting epistemologies of news in a digital age.” I will be co-editing the special issue with two terrific partners, Mats Ekström and Oscar Westlund of the University of Gothenburg (the three of us are working on a recently funded grant to study the epistemologies of digital news production). Note that, in addition to the special issue, shortlisted authors will be invited to participate in an online workshop in early 2018 that will allow for feedback on each other’s work as well as a chance to experiment with a virtual meeting format.

Thank you for sharing this CfP far and wide!

CALL FOR PAPERS: Special issue of New Media & Society and related online workshop

Truth, facts, and fake: The shifting epistemologies of news in a digital age

Co-editors:
Mats Ekström, University of Gothenburg
Seth C. Lewis, University of Oregon
Oscar Westlund, University of Gothenburg

Tentative timeline:

  • Abstract submission deadline: Monday, October 2, 2017
  • Notification on submitted abstracts: Friday, October 20, 2017
  • Online workshop focusing on the special issue theme: in early February 2018
  • Article submission deadline: Thursday, March 1, 2018

Verified, fact-based information is presumed to be an important feature in society, for citizens individually and for democratic governance as a whole. During much the 20th century, legacy news media enjoyed a prominent position in attempting to fulfill that role, reporting on happenings near and far. Journalists professionalized over time, developing standards, norms, methods, and networks of sources that enabled them to make knowledge claims. Such epistemological practices—presumed to provide factual and reliable public information—have made journalism one of the most influential knowledge-producing institutions in society.

However, both slow and sudden changes are challenging the role of journalism in society. There is an ongoing but gradual shift from legacy media to digital media. On the one hand, this shift has opened new pathways for news access and distribution across an array of platforms—social, mobile, apps, and the like. On the other hand, this shift has generally undercut the business models of legacy news media organizations, resulting in the weakening and downsizing of newsrooms and the fragmenting of collective audiences for news—altogether raising questions about the continued viability of journalism to produce reliable information. Meanwhile, the more sudden change in the information landscape is the rapid expansion of actors that, in some cases, are intent on providing “alternative facts” or otherwise questioning the accounts of news media. This comes at a moment when many people, particularly in developed countries, appear to have little confidence in the press. While some of these sources seek to verify facts in a journalistic fashion, others pursue a deliberate strategy of disinformation for political or financial purposes. The success of such “fake news” has led to widespread debate about what some are calling a “post-truth” era.

Altogether, these developments point to many opportunities for research and theory. A general question concerns how the epistemologies of journalism—knowledge claims, norms, and practices—are shaped by the changes and challenges in digital news production. How do journalists know what they know, and how are their knowledge claims articulated and justified? To understand the destabilization of the epistemic status of journalism articulated in current debates, what is needed are empirical studies, historical explanations, and theoretical developments. Moreover, it is essential to better understand how news consumers perceive news, “fake” or otherwise; e.g., how do they evaluate and act upon such claims? Citizens also need media literacy skills to assess the quality of information; what constitutes such literacy, and how does it respond to the knowledge conditions of the contemporary digital environment? As a response to the rise of fake news, several groups have mobilized to investigate information. The functioning and implications of such mobilizations (such as fact-checking movements), as well as digital media tools that aid citizens and professionals in verifying information, are important to analyze to develop our understanding of the production and consumption of more or less verified and non-verified information in a changing news media landscape.

For this special issue, the guest editors welcome two kinds of article submissions: theoretically informed and empirically rigorous articles (using quantitative, qualitative, computational, and/or mixed methods), as well as conceptualizations involving systematic and relevant literature reviews. Contributors may address issues including, but not limited to, the following:

* The epistemology of different forms of journalism—such as data journalism, which conveys news through the analysis and visualization of numerical data, and participatory journalism, which involves audiences and communities in news construction;

* Knowledge-oriented norms, values, and practices applied when publishing and distributing news, accordingly to varying socio-cultural, political, organizational, and technological contexts;

* The shifting networks of sources on which journalists and other information professionals rely;

* The discursive construction of “truth” and “facts” in the context of news production, distribution, and consumption;

* Notions of “fake news,” “post-truth,” and related controversies brought to light by the 2016 U.S. presidential election, and which are applicable also in many other countries and contexts;

* The knowledge-oriented practices of news consumers as they encounter purportedly “fake news” and propaganda online (and, by extension, questions of and conceptualizations for media literacy);

* Verification on/for social media as well as related forms of technologically driven means of information assessment;

* Perceptions and practices of professional footage vis-à-vis amateur footage, including issues of authenticity and authority;

* The formation, vision, and practices of initiatives, groups or organizations working toward identifying “fake news,” on behalf of professionals, the public or both;

* Comparative perspectives on news consumers and their relative trust in different forms of media processes and products;

* The development, appropriation, and use of technological systems and tools for verification.

Information about submission:

Proposals should include the following: an abstract of 500-750 words (not including references) as well as background information on the author(s), including an abbreviated bio that describes previous and current research that relates to the special issue theme. Please submit your proposal as a PDF to the e-mail address ekstrom.lewis.westlund@gmail.com no later than Monday, October 2, 2017. Later that month, by October 20, authors will be notified whether their abstract has been selected, and consequently if they will be encouraged to develop and submit an article for peer review.

Please note: Authors whose abstracts are shortlisted for full-paper submission to the special issue also will be committing to take part in an online workshop, hosted by the University of Gothenburg, to be held in early February 2018. This experimental approach will allow for the sharing and commenting on drafts as well as the discussion of more general theoretical issues, future research opportunities, and networking among scholars. Live sessions will be held for portions of two days, in addition to a week period for open commenting and discussion. Further details will be conveyed to shortlisted authors.

Finally, full articles will be due Thursday, March 1, 2018, for full blind review, in accordance with the journal’s peer-review procedure.

Call for papers: Journalism in an Era of Big Data (special issue)

rdij20.v001.i01.coverI’m excited to be guest editing a special issue of Digital Journalism, an international, peer-reviewed journal (new in 2013) that is led by the same editor (Bob Franklin at Cardiff University) who produces the well-renowned Journalism Studies and Journalism Practice journals. The topic, we believe, is a timely one: “Journalism in an Era of Big Data.”

The full Call for Papers can be found here and below. The deadline for abstracts is July 1, 2013, with eventual publication in 2015 (though online-first publication earlier than that, I’m sure; still, as with any academic publishing, there’s a certain time lag involved).

Please spread the word to colleagues, and let me know if you have any questions. Thanks!

• • •

Call for Papers for a special issue of Digital Journalism:

Journalism in an Era of Big Data

Deadlines: July 1, 2013 (abstracts); January 1, 2014 (full papers for peer review); June 1, 2014 (revised full papers due)

Guest Editor: Seth C. Lewis of the University of Minnesota, USA (Digital Journalism Editor: Bob Franklin)

The term “Big Data” is often invoked to describe the overwhelming volume of information produced by and about human activity, made possible by the growing ubiquity of mobile devices, tracking tools, always-on sensors, and cheap computing storage. In combination with technological advances that facilitate the easy organizing, analyzing, and visualizing of such data streams, Big Data represents a social, cultural, and technological phenomenon with potentially major import for public knowledge and news information. How is journalism, like other social institutions, responding to this data abundance? What are the implications of Big Data for journalism’s norms, routines, and ethics? For its modes of production, distribution, and audience reception? For its business models and organizational arrangements? And for the overall sociology and epistemology of news in democratic society?

This special issue of the international journal Digital Journalism (Routledge, Taylor & Francis) brings together scholarly work that critically examines the evolving nature of journalism in an era of Big Data. This issue aims to explore a range of phenomena at the junction between journalism and the social, computer, and information sciences—including the contexts and practices around news-related algorithms, applications, sophisticated mapping, real-time analytics, automated information services, dynamic visualizations, and other computational approaches that rely on massive data sets and their maintenance. This special issue seeks not simply to describe these tools and their application in journalism, but rather to develop what Anderson (2012) calls a “sociological approach to computational journalism”—a frame of reference that acknowledges the trade-offs, embedded values, and power dynamics associated with technological change. This special issue thus encourages a range of critical engagements with the problems as well as opportunities associated with data and journalism.

The special issue welcomes articles drawing on a variety of theoretical and methodological approaches, with a preference for empirically driven or conceptually rich accounts. These papers might touch on a range of themes, including but not limited to the following:

  • The history (or histories) of computational forms of journalism;
  • The epistemological ramifications of “data” in contemporary newswork;
  • Norms, routines, and values associated with emerging forms of data-driven journalism, such as data visualizations, news applications, interactives, and alternative forms of storytelling;
  • The sociology of new actors connected to computational forms of journalism, within and beyond newsrooms (e.g., news application teams, programmer-journalists, tech entrepreneurs, web developers, and hackers);
  • The social, cultural, and technological roles of algorithms, automation, real-time analytics, and other forms of mechanization in contemporary newswork, and the implications of such for journalistic roles and routines;
  • The ethics of journalism in the context of Big Data;
  • The business, managerial, economic, and other labor-related issues associated with data-centric forms of newswork;
  • Approaches for conceptualizing the distinct nature of emerging journalisms (e.g., computational journalism, data journalism, algorithmic journalism, and programmer journalism);
  • The blurring boundaries between “news” and other types of information, and the role of Big Data and its related implications in that process

Articles should be no more than 8,000 words in length, including references, etc. Please submit an abstract of 600-800 words that clearly spells out the theoretical construct, research questions, and methods that will be used. Also include the names, titles, and contact information for 2-3 suggested reviewers. Abstracts are due by July 1, 2013, to sclewis@umn.edu (with “DJ special issue” in the subject line). Providing the abstract meets the criteria for the call, full manuscripts are due by January 1, 2014 (also to sclewis@umn.edu), at which point they will be peer-reviewed and considered for acceptance. The proposed date of publication is 2015. Please contact guest editor Seth C. Lewis with questions: sclewis@umn.edu. Manuscripts should conform to the guidelines for Digital Journalism.