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Featured researches published by Chris J. Vargo.


Journalism & Mass Communication Quarterly | 2017

Networks, Big Data, and Intermedia Agenda Setting: An Analysis of Traditional, Partisan, and Emerging Online U.S. News:

Chris J. Vargo; Lei Guo

This large-scale intermedia agenda–setting analysis examines U.S. online media sources for 2015. The network agenda–setting model showed that media agendas were highly homogeneous and reciprocal. Online partisan media played a leading role in the entire media agenda. Two elite newspapers—The New York Times and The Washington Post—were found to no longer be in control of the news agenda and were more likely to follow online partisan media. This article provides evidence for a nuanced view of the network agenda–setting model; intermedia agenda–setting effects varied by media type, issue type, and time periods.


Journal of Interactive Advertising | 2016

Toward a Tweet Typology: Contributory Consumer Engagement With Brand Messages by Content Type

Chris J. Vargo

ABSTRACT This study assesses brand messages on Twitter (i.e., tweets broadcasted by a brand) and the contributory engagement a tweet receives. It presents a typology for brand messages that accounts for 92.6% of messages found. Findings offer mild support for self-concept and self-enhancement as drivers of engagement. This research also tests assumptions made by marketers regarding social content. Brand messages that promoted giveaways positively influenced engagement, giving support to Bergers (2012) behavioral residue claim. Brand messages that mentioned popular culture events and current holidays positively influenced engagement, suggesting that brands that humanize do see benefits. Finally, promotional messages negatively influenced engagement, suggesting that consumers are skeptical of product information that comes directly from brands.


Social Science & Medicine | 2017

Geographic and demographic correlates of autism-related anti-vaccine beliefs on Twitter, 2009-15

Theodore S. Tomeny; Chris J. Vargo; Sherine El-Toukhy

This study examines temporal trends, geographic distribution, and demographic correlates of anti-vaccine beliefs on Twitter, 2009-2015. A total of 549,972 tweets were downloaded and coded for the presence of anti-vaccine beliefs through a machine learning algorithm. Tweets with self-disclosed geographic information were resolved and United States Census data were collected for corresponding areas at the micropolitan/metropolitan level. Trends in number of anti-vaccine tweets were examined at the national and state levels over time. A least absolute shrinkage and selection operator regression model was used to determine census variables that were correlated with anti-vaccination tweet volume. Fifty percent of our sample of 549,972 tweets collected between 2009 and 2015 contained anti-vaccine beliefs. Anti-vaccine tweet volume increased after vaccine-related news coverage. California, Connecticut, Massachusetts, New York, and Pennsylvania had anti-vaccination tweet volume that deviated from the national average. Demographic characteristics explained 67% of variance in geographic clustering of anti-vaccine tweets, which were associated with a larger population and higher concentrations of women who recently gave birth, households with high income levels, men aged 40 to 44, and men with minimal college education. Monitoring anti-vaccination beliefs on Twitter can uncover vaccine-related concerns and misconceptions, serve as an indicator of shifts in public opinion, and equip pediatricians to refute anti-vaccine arguments. Real-time interventions are needed to counter anti-vaccination beliefs online. Identifying clusters of anti-vaccination beliefs can help public health professionals disseminate targeted/tailored interventions to geographic locations and demographic sectors of the population.


Computers in Human Behavior | 2017

Does negative campaign advertising stimulate uncivil communication on social media? Measuring audience response using big data

Toby Hopp; Chris J. Vargo

Abstract Using the 2012 presidential election as a case study, this work set out to understand the relationship between negative political advertising and political incivility on Twitter. Drawing on the stimulation hypothesis and the notion that communication with dissimilar others can encourage incivility, it was predicted that (1) heightened levels of negative campaign advertising would be associated with increased citizen activity on Twitter, (2) increased citizen activity would predict online incivility, and (3) that increases in citizen activity would facilitate a positive indirect relationship between negative advertising volume and citizen incivility. This theoretical model was tested using data collected from over 140,000 individual Twitter users located in 206 Designated Market Areas. The results supported the proposed model. Additional analyses further suggested that the relationship between negative political advertising and citizen incivility was conditioned by contextual levels of economic status. These results are discussed in the context of political advertising and democratic deliberation.


Communication Research | 2018

“Fake News” and Emerging Online Media Ecosystem: An Integrated Intermedia Agenda-Setting Analysis of the 2016 U.S. Presidential Election:

Lei Guo; Chris J. Vargo

This study examined how fake news, misinformation, and satire, affected the emerging media ecosystem during the 2016 U.S. presidential election through an integrated intermedia agenda-setting analysis, which studies broad attributes and myopic stories and events. A computer-assisted content analysis of millions of news articles was conducted alongside a qualitative analysis of popular news headlines and articles. The results showed that websites that spread misinformation had a fairly close intermedia agenda-setting relationship with fact-based media in covering Trump, but not for the news about Clinton. Satire websites barely interacted with the agenda of other media outlets. Overall, it seemed that rather than playing a unique agenda-setting role in this emerging media landscape, fake news websites added some noise to an already sensationalized news environment.


Communication Monographs | 2018

Reinforcing attitudes in a gatewatching news era: Individual-level antecedents to sharing fact-checks on social media

Michelle A. Amazeen; Chris J. Vargo; Toby Hopp

ABSTRACT Despite the prevalence of fact-checking, little is known about who posts fact-checks online. Based upon a content analysis of Facebook and Twitter digital trace data and a linked online survey (N = 783), this study reveals that sharing fact-checks in political conversations on social media is linked to age, ideology, and political behaviors. Moreover, an individual’s need for orientation (NFO) is an even stronger predictor of sharing a fact-check than ideological intensity or relevance, alone, and also influences the type of fact-check format (with or without a rating scale) that is shared. Finally, participants generally shared fact-checks to reinforce their existing attitudes. Consequently, concerns over the effects of fact-checking should move beyond a limited-effects approach (e.g., changing attitudes) to also include reinforcing accurate beliefs.


Jordan Journal of Social Sciences | 2016

The Agenda Setting in the Digital Age : How We Use Media to Monitor Civic Life and Reframe Community = الأجندة الإعلامية في عصر الاتصال الرقمي : كيف نستخدم الاعلام لمراقبة المحيط و أحداثه و تحديد موقعنا منها

Chris J. Vargo; Milad Minooie; Richard Cole

World leaders and citizens alike use a mix of traditional (e.g. newspapers, magazines, radio, and television) and social (e.g. Twitter, and Facebook) media to redefine community in the digital age. Nations confront challenges from collectives that are asserting their voices into national and regional issues. This dynamic change is made possible by modern digital technologies that allow citizens to use a variety of media to find each other, gain social support, and articulate alternative agendas easier than at any time in history. This article, however, argues that traditional media still provide the main national agenda. But that agenda is supplemented, and in some cases even challenged, by alternative agendas persistently offered via social media. The Arab Spring is an example of how alternative agendas challenged the national agenda. This article presents the Agenda Community Attraction formula for measuring the traditional, social and personal agenda correlations. Given the changing dynamic between national and alternative agendas, social systems confront new challenges and opportunities – mainly the need to balance traditional national values with the need to allow a gradual social agenda to enrich individuals. This allows a national evolution that sensitizes and benefits national organizations. The result is gravitation toward a balance between the power of vertical, institutional society, represented by the Pyramid, and the ease and convenience of social media to convey information, such as mobile Papyrus paper allowed. This mixing of vertical power and horizontal challenge is creating a newer form of national organization, the emerging Digital Society. This new society requires more tolerance between leaders and citizens than at any time in history. Communication plays a major role, but not the only one, in this evolution, or revolution, as the case may be.


Journal of Communication | 2017

Global Intermedia Agenda Setting: A Big Data Analysis of International News Flow

Lei Guo; Chris J. Vargo


The Agenda Setting Journal. Theory, Practice, Critique | 2017

Election-related talk and agenda-setting effects on Twitter

Shannon C. McGregor; Chris J. Vargo


Jordan Journal of Social Sciences | 2016

The Agenda Setting in the Digital Age*How We Use Media to Monitor Civic Life and Reframe Community

Donald L. Shaw; Issam S. Mousa; Chris J. Vargo; Milad Minooie

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Toby Hopp

University of Alabama

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Donald L. Shaw

University of North Carolina at Chapel Hill

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Shannon C. McGregor

University of Texas at Austin

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Sherine El-Toukhy

National Institutes of Health

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Yeojin Kim

Central Connecticut State University

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