Letting the Data Speak

Boyles, Jan Lauren; Meyer, Eric T.

doi:10.1080/21670811.2016.1166063

Cited by 43 publications

(16 citation statements)

References 25 publications

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“…Traditional outlets for news dissemination-such as print, radio, and television-have faced layoffs, declining audiences, and reduced revenues, and this disruption has been the focus of significant academic research (Cohen, 2015;Edmonds, 2015;Public Policy Forum, 2017). At the same time, the evolution of internet-based digital platforms has provided novel ways for news outlets to reach new audiences, with content that is personalized, interactive, and engaging (Boyles & Meyer, 2016;Cohen, 2015).…”

Section: Author's Declaration For Electronic Submission Of a Project-...mentioning

confidence: 99%

News Personalization: Do Journalism Audiences Prefer Algorithms Over Editors?

Duncan

2024

Preprint

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This project-paper explores what motivates news organizations to employ algorithmically driven news personalization techniques and develops a methodology to determine whether journalism audiences have a preference between story lineups determined by an editor or by an algorithm. This work also examines whether news personalization systems meet the information needs of news audiences and works to determine what algorithmic approaches could better meet these needs. Through the creation of a simple online news personalization system, this project has developed a method driven by analytic measurement coupled with a survey approach to determine audience opinions on news recommendation systems. A small user study was conducted that supported the feasibility of the system as a research tool and identified possible improvements to my methodological choices. The research presented as part of this project-paper found that news organizations use news personalization systems for a variety of economic and editorial reasons. This paper also explores the social impacts of news personalization techniques and posits that there is nothing inherent to the design of personalization systems that precludes supporting the democratic and social ideals of journalism.

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Section: Author's Declaration For Electronic Submission Of a Project-...mentioning

confidence: 99%

News Personalization: Do Journalism Audiences Prefer Algorithms Over Editors?

Duncan

2024

Preprint

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“…Katılımcıların seçiminde veri gazetecileriyle yapılan derinlemesine görüşmelere dayanan pek çok vaka analizi çalışmasında olduğu gibi (Boyles, & Meyer, 2016;Karlsen, & Stevelin, 2014) kartopu örneklem tekniği kullanılmıştır. Kartopu örneklem özellikle ulaşılması zor popülasyonlarla ilgilenen araştırmacılar için, çalışma kapsamında gerekli olan belirli özelliklere sahip katılımcılara ulaşmak açısından elverişlidir.…”

Section: Amaç Ve Yöntemunclassified

“…Görüşmeler, beş ana temada toplanmış açık uçlu sorulardan oluşmuştur. Güncel veri gazeteciliği literatüründen (Boyles, & Meyer, 2016;Doğu, 2015;Erkmen, 2018; ve günümüz veri gazeteciliği pratiklerinden yola çıkarak oluşturulan bu temalar veri gazeteciliğine dair altyapı, beceri, süreç ve etkileşim aşamalarını irdelemektedir. Ayrıca yarı yapılandırılmış görüşme tasarımı ve açık uçlu sorular da, katılımcıların tartışılan temaya dair farklı perspektiflerini anlamak için elverişlidir (Karlsen, & Stavelin, 2014).…”

Section: Amaç Ve Yöntemunclassified

Türkiye Örnekleminde Veri Gazeteciliği Uygulamaları ve Demokrasi İlişkisi Üzerine Bir Değerlendirm

Erkmen¹

2020

CONNECTIST

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Since the beginning of the 20th century, developments in information and communication technologies have radically transformed and digitised our daily lives. Every individual in the digital ecosystem, continually participates in data production by leaving digital traces. These data stacks, which could not be processed in a reasonable time with existing software or human resources, are called big data. Those who are pro-big data, emphasise its potential to improve our understanding and perception of world affairs. However, there is a need for data journalists to be "digital watchdogs" (Felle, 2015; 2016) that will make sense of the data and reveal the stories hidden in them for the public good. The discussion of big data in the context of journalism started with the Wikileaks in 2010. Data journalism has come to the fore as a new practice covering the stages of cleaning, editing , visualising, processing and contextualising data. Investigative data journalism (Mair, & Keeble, 2013), which seeks to "find what is hidden in the shadows" based on infor-mal/confidential data, and to find the relationships in it, is emphasised as an important tool of democracy. Both professionals and academics assume that; the media, which has been gradually losing blood under the influence of neoliberal, conservative and authoritarian governments , could regain the fourth power function with the aid of investigative data journalism.

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“…In this context, journalism is believed to be moving towards more openness and engaging in the digital era, and data journalism has been considered an innovative form and prominent feature of today’s journalism (Tong, 2022a: 47–60). Data journalism has been regarded not only to be more immersive, objective and accurate than traditional journalism by introducing huge data, digitization and visualization techniques, and computational science into news production, but also to be more interactive and engaging, which affords new opportunities for the audience to engage in the creation, distribution and consumption of news (Boyles and Meyer, 2016; Miller and Nelson, 2022).…”

Section: Introductionmentioning

confidence: 99%

Hidden in plain sight- Audience engagement in China’s data journalism

Yin,

Zheng,

2024

Journalism

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This article delves into the strategies of different Chinese news organizations’ (e.g., state-owned media, we-media, private news organizations) engagement with audiences in data journalism, aiming to attain dual legitimacy (identity legitimacy and institutional legitimacy) within the unique landscape of the digital media era in China. Utilizing the lens of organizational legitimacy, qualitative interviews were conducted with 26 Chinese data news practitioners. The findings reveal that news entities have adopted “restrictive involvement” and “substitutive involvement” strategies to limit audience engagement to superficial interactions within the consumption process of data journalism. Identity legitimacy has traditionally served as the primary incentive for news organizations to engage audiences, while institutional legitimacy has constrained the forms and degrees of audience engagement. The study posits that audience deployment by news organizations is more of a rhetorical maneuver than a practical engagement, symbolically involving audiences in China’s data news production. This research contributes an institutional perspective to the understanding of data journalism and audience engagement dynamics, shedding light on the intricate interactions between news entities, audiences, technology and the state within China’s context.

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Letting the Data Speak

Cited by 43 publications

References 25 publications

News Personalization: Do Journalism Audiences Prefer Algorithms Over Editors?

News Personalization: Do Journalism Audiences Prefer Algorithms Over Editors?

Türkiye Örnekleminde Veri Gazeteciliği Uygulamaları ve Demokrasi İlişkisi Üzerine Bir Değerlendirm

Hidden in plain sight- Audience engagement in China’s data journalism

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