skip to main content
Explore Scholarly Publications and Datasets in the NSF-PAR

Title: Negotiated Autonomy: The Role of Social Media Algorithms in Editorial Decision Making
Social media platforms have increasingly become an important way for news organizations to distribute content to their audiences. As news organizations relinquish control over distribution, they may feel the need to optimize their content to align with platform logics to ensure economic sustainability. However, the opaque and often proprietary nature of platform algorithms makes it hard for news organizations to truly know what kinds of content are preferred and will perform well. Invoking the concept of algorithmic ‘folk theories,’ this article presents a study of in-depth, semi-structured interviews with 18 U.S.-based news journalists and editors to understand how they make sense of social media algorithms, and to what extent this influences editorial decision making. Our findings suggest that while journalists’ understandings of platform algorithms create new considerations for gatekeeping practices, the extent to which it influences those practices is often negotiated against traditional journalistic conceptions of newsworthiness and journalistic autonomy.
Authors:
;
Award ID(s):
1717330
Publication Date:
NSF-PAR ID:
10175590
Journal Name:
Media and Communication
Volume:
8
Issue:
3
Page Range or eLocation-ID:
27 to 38
ISSN:
2183-2439
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ( , Journalism Practice)
    Hurricane Maria (2017) was the most devastating hurricane in Puerto Rico in the last 90 years. The entire communication system collapsed, including cellular. Media organizations in Puerto Rico, with the exception of one radio station, were unable to transmit much-needed information during and immediately after Maria made landfall. This study examines changes in journalistic practices, organizational readiness and disaster coverage plans, and infrastructure preparedness almost 18 months after the event. This study extends the limited research examining long-term changes to news media preparedness plans in the context of disasters and expands theoretical understandings of media practices in the context ofmore »the hierarchy of influences model. The results suggest that infrastructure damage severely hampered the ability of news organizations to perform their work, but solidarity among media was useful in the immediate aftermath of the disaster. Each media played a differentiated and important role after the disaster based on their resources and organizational structure. The study shows that preparedness plans were inadequate and that changes are slowly been implemented to deal with challenges related to infrastructure, electricity, and technology, but with limited focus on the long-term well-being of media workers. Recommendations to improve responses to future natural disasters are presented.« less
  2. ; ; ; ; ; ( , Mobilization: An International Quarterly)
    When social movement organizations receive extensive newspaper coverage, why is it sometimes substantive and sometimes not? By “substantive,” we mean coverage that reflects serious treatment of the movement's issues, demands, or policy claims. Scholars agree that the news media are key to movement organizations' influence, helping them alter public discourse and effect political change, but often find that protests are covered nonsubstantively. Employing insights from literatures on historical institutionalism, the social organization of the news, and the consequences of movements, we elaborate an “institutional mediation” model that identifies the interactive effects on coverage of news institutions' operating procedures, movement organizations'more »characteristics and action, and political contexts. Although movement actors suffer compound legitimacy deficits with journalists, the institutional mediation model identifies the openings news institutions provide, the movement organizational characteristics, the forms of collective action likely to induce substantive news treatment, and the political contexts that will amplify or dampen these effects. We derive four interactive hypotheses from this model, addressing the effects of organizational identities, collective action, and political contexts on news outcomes. We appraise the hypotheses with comparative and qualitative comparative analyses of more than 1000 individually coded articles discussing the five most-covered organizations of the 1960s U.S. civil rights movement across four national newspapers. We find support for each hypothesis and discuss the implications for other movement organizations and the current media context.« less
  3. ; ( , CHI Conference on Human Factors in Computing Systems)
    Many journalists and newsrooms now incorporate audience contributions in their sourcing practices by leveraging user-generated content (UGC). However, their sourcing needs and practices as they seek information from UGCs are still not deeply understood by researchers or well-supported in tools. This paper first reports the results of a qualitative interview study with nine professional journalists about their UGC sourcing practices, detailing what journalists typically look for in UGCs and elaborating on two UGC sourcing approaches: deep reporting and wide reporting. These findings then inform a human-centered design approach to prototype a UGC sourcing tool for journalists, which enables journalists tomore »interactively filter and rank UGCs based on users’ example content. We evaluate the prototype with nine professional journalists who source UGCs in their daily routines to understand how UGC sourcing practices are enabled and transformed, while also uncovering opportunities for future research and design to support journalistic sourcing practices and sensemaking processes.« less
  4. ; ; ; ; ; ( , Nature Human Behaviour)
    Newsfeed algorithms frequently amplify misinformation and other low-quality content. How can social media platforms more effectively promote reliable information? Existing approaches are difficult to scale and vulnerable to manipulation. In this paper, we propose using the political diversity of a website’s audience as a quality signal. Using news source reliability ratings from domain experts and web browsing data from a diverse sample of 6,890 US residents, we first show that websites with more extreme and less politically diverse audiences have lower journalistic standards. We then incorporate audience diversity into a standard collaborative filtering framework and show that our improved algorithmmore »increases the trustworthiness of websites suggested to users—especially those who most frequently consume misinformation—while keeping recommendations relevant. These findings suggest that partisan audience diversity is a valuable signal of higher journalistic standards that should be incorporated into algorithmic ranking decisions.« less
  5. ; ; ( , Natural Hazards)
    As the internet and social media continue to become increasingly used for sharing break- ing news and important updates, it is with great motivation to study the behaviors of online users during crisis events. One of the biggest issues with obtaining information online is the veracity of such content. Given this vulnerability, misinformation becomes a very danger- ous and real threat when spread online. This study investigates misinformation debunking efforts and fills the research gap on cross-platform information sharing when misinforma- tion is spread during disasters. The false rumor “immigration status is checked at shelters” spread in both Hurricane Harveymore »and Hurricane Irma in 2017 and was analyzed in this paper based on a collection of 12,900 tweets. By studying the rumor control efforts made by thousands of accounts, we found that Twitter users respond and interact the most with tweets from verified Twitter accounts, and especially government organizations. Results on sourcing analysis show that the majority of Twitter users who utilize URLs in their post- ings are employing the information in the URLs to help debunk the false rumor. The most frequently cited information comes from news agencies when analyzing both URLs and domains. This paper provides novel insights into rumor control efforts made through social media during natural disasters and also the information sourcing and sharing behaviors that users exhibit during the debunking of false rumors.« less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email