The Obstacles to Audience Engagement

2021 ◽  
pp. 105-124
Author(s):  
Jacob L. Nelson

This chapter explores the challenges that journalists face as they attempt to more meaningfully practice audience engagement. The first is that, at a moment when the news industry’s financial stability is far from guaranteed, it is difficult to empirically demonstrate that engaged journalism yields an economic benefit. This is primarily because of the limitations of audience measurement data, which tend to privilege measures of exposure above all else—such as more qualitative measures of audience preferences or reactions. The second challenge stems from the reality that the pursuit of engaged journalism—and the more explicit awareness of the audience that it entails—can lead journalists to ethical dilemmas as they grapple with who they are writing about, who they are writing for, and what to do when those two groups diverge. Finally, those who pursue more meaningful and deliberate efforts to communicate and collaborate with their audiences increasingly must reckon with unexpected and unwelcome outcomes.

2021 ◽  
pp. 65-84
Author(s):  
Jacob L. Nelson

How is it that, in an age of sophisticated audience data, there continue to be widespread uncertainty and inconsistency throughout the news industry surrounding what people want and expect from news? This chapter explores this question by examining the relationship of journalists with audience measurement data. While the previous chapter examined the differences within journalism’s imagined audiences, this chapter explores the origins of journalism’s imagined audiences. In doing so, it identifies the way these differences emerge—and, more importantly, how they persist—in an increasingly data-driven news culture. The author’s overarching argument is that audience measurement data are neither as straightforward nor comprehensive as the discourse surrounding them suggests. Instead, these data continue to leave ample room for interpretation, and the interpretations vary from one journalist to the next.


Journalism ◽  
2020 ◽  
pp. 146488491989241
Author(s):  
Neil Thurman ◽  
Thiemo Hensmann ◽  
Richard Fletcher

Amidst the financial crisis affecting UK newspapers, one area of optimism is their online overseas audiences. These foreign visitors often outnumber their domestic equivalents, and some newspapers have made the ‘long-distance’ market a key component of their commercial strategies. Overseas news audiences are, however, under-researched, an omission this study aims to help remedy via an investigation into the audiences for 7 UK newspaper brands (and a public-service broadcaster) across 10 countries using data from a leading source of Internet audience measurement, Comscore. The study uses an innovative, multidimensional model (derived from work by Zheng et al.) to analyse audience engagement across the dimensions of visibility, popularity, depth, loyalty and stickiness. The results reveal that there are significant differences in how audiences behave from country to country, dependent on language and culture. The study has implications for how news organizations serve their overseas audiences and suggests new directions for research into audiences for globalized online journalism.


2016 ◽  
Vol 55 ◽  
pp. 389-408 ◽  
Author(s):  
Aron Culotta ◽  
Nirmal Kumar Ravi ◽  
Jennifer Cutler

Understanding the demographics of users of online social networks has important applications for health, marketing, and public messaging. Whereas most prior approaches rely on a supervised learning approach, in which individual users are labeled with demographics for training, we instead create a distantly labeled dataset by collecting audience measurement data for 1,500 websites (e.g., 50% of visitors to gizmodo.com are estimated to have a bachelor's degree). We then fit a regression model to predict these demographics from information about the followers of each website on Twitter. Using patterns derived both from textual content and the social network of each user, our final model produces an average held-out correlation of .77 across seven different variables (age, gender, education, ethnicity, income, parental status, and political preference). We then apply this model to classify individual Twitter users by ethnicity, gender, and political preference, finding performance that is surprisingly competitive with a fully supervised approach.


2019 ◽  
Vol 32 (3) ◽  
pp. 93
Author(s):  
Joseba Universidad San Jorge Bonaut ◽  
Mireya Universidad Complutense de Madrid Vicent

The importance of televised sports content in Spain, chiefly football, has led to a growth in research in recent last years. Many studies have addressed this phenomenon from a variety of perspectives, including television-programming strategy, the business management relationship between television and sports, the battle for broadcasting rights or the elaboration of a television message through different broadcasting techniques. This paper seeks to add to the debate on this topic through a detailed analysis of the audience ratings of sports content aired on Spanish television channels with a nationwide coverage. To this end, we analyse the complete audience measurement data from the first period of private commercial television in Spain (1993-2010) in order to determine the most important characteristics of sports content and their true impact on audience ratings. To achieve this aim, we analysed 4,000 statistical entries from Sofres/Kantar Media’s “Anuario de audiencias de television” [Audience Yearbook] and cross referenced and studied information from more than 2,300 sport broadcasts. The results of this research underpin the role of live football broadcasts, which accounted for more than 50% of the most successful television content during that period


2011 ◽  
Vol 38 (Spring) ◽  
pp. 76-86 ◽  
Author(s):  
Ashleigh J. Callahan ◽  
Norman J. Lass ◽  
Kimberly L. Richards ◽  
Andrea B. Yost ◽  
Kristen S. Porter ◽  
...  
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