Mapping the intermedia agenda setting (IAS) literature

2021 ◽  
Author(s):  
Yan Su ◽  
Xizhu Xiao
Keyword(s):  
Time Series ◽  
Agenda Setting ◽  
Analytical Techniques ◽  
Reciprocal Relationship ◽  
Traditional Media ◽  
Contextual Diversity ◽  
Emerging Media ◽  
Intermedia Agenda Setting ◽  
Coding Strategies ◽  
Level 3

Abstract This study systematically reviewed empirical intermedia agenda setting (IAS) research published between 1997 and 2019 in terms of the level of agenda-setting, the methodologies – including the coding strategies and time-series analytical techniques – the types of media, and the flow of IAS effects. According to our results, previous IAS studies exhibited the following trends: (1) an overwhelming majority of the IAS studies was anchored by the first agenda-setting level, whilst examinations of the NAS model and multiple levels have increased in recent years; (2) excessive IAS studies performed content analyses, (3) applied manual coding strategies, (4) conducted cross-lagged correlation analyses to examine time-series effects, (5) and focused on newspapers and Twitter; (6) most IAS research confirmed the flow from one traditional media to another traditional media, whereas more recent studies also revealed the flow from traditional to emerging media, and their reciprocal relationship; (7) the majority of IAS studies confirmed the elite-to-non-elite flow of IAS effects. Based on these findings, this study encourages futures IAS researchers to attach more importance to (1) contextual diversity, (2) balanced examinations of each agenda-setting level, (3) methodological innovations, (4) technological pluralism, and (5) providing more evidence for the flow of IAS effects across different types of media.

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

2018 ◽  
Vol 47 (2) ◽  
pp. 178-200 ◽  
Author(s):  
Lei Guo ◽  
Chris Vargo
Keyword(s):  
Presidential Election ◽  
Agenda Setting ◽  
Online Media ◽  
Computer Assisted ◽  
Fake News ◽  
Emerging Media ◽  
Intermedia Agenda Setting ◽  
News Websites ◽  
Media Ecosystem ◽  
News Headlines

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.

Picture Perfect? The Role of Instagram in Issue Agenda Setting During the 2016 Presidential Primary Campaign

2017 ◽  
Vol 36 (4) ◽  
pp. 484-499 ◽  
Author(s):  
Terri L. Towner ◽  
Caroline Lego Muñoz
Keyword(s):  
Time Series ◽  
Content Analysis ◽  
Time Series Analysis ◽  
Agenda Setting ◽  
Presidential Campaign ◽  
Reciprocal Relationship ◽  
Series Analysis ◽  
Presidential Primary ◽  
Newspaper Articles

Instagram emerged as a pivotal campaign tool in the 2016 presidential campaign. This study examines the agenda-setting effects between the presidential primary candidates’ Instagram posts and articles published in the mainstream newspapers during the primary period. A reciprocal relationship between Democratic and Republican candidates’ Instagram posts and newspaper articles is expected. A content analysis of issues recorded daily issue frequencies in each medium which were then examined using a time-series analysis. Results offer evidence of a relationship between Democratic and Republican candidates’ Instagram posts and newspapers on some of the top issues in the primary campaign. However, the findings also reveal that candidate Instagram posts independently predicted newspapers’ issue agendas on certain issues with no reverse effects.

scholarly journals Agenda Trending: Reciprocity and the Predictive Capacity of Social Networking Sites in Intermedia Agenda Setting across Topics over Time

2013 ◽  
Vol 1 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Jacob Groshek ◽  
Megan Clough Groshek
Keyword(s):  
New York ◽  
Social Media ◽  
Social Networking ◽  
Agenda Setting ◽  
Social Networking Sites ◽  
New York Times ◽  
Traditional Media ◽  
Predictive Capacity ◽  
Intermedia Agenda Setting ◽  
Over Time

In the contemporary converged media environment, agenda setting is being transformed by the dramatic growth of audiences that are simultaneously media users and producers. The study reported here addresses related gaps in the literature by first comparing the topical agendas of two leading traditional media outlets (New York Times and CNN) with the most frequently shared stories and trending topics on two widely popular Social Networking Sites (Facebook and Twitter). Time-series analyses of the most prominent topics identify the extent to which traditional media sets the agenda for social media as well as reciprocal agenda-setting effects of social media topics entering traditional media agendas. In addition, this study examines social intermedia agenda setting topically and across time within social networking sites, and in so doing, adds a vital understanding of where traditional media, online uses, and social media content intersect around instances of focusing events, particularly elections. Findings identify core differences between certain traditional and social media agendas, but also within social media agendas that extend from uses examined here. Additional results further suggest important topical and event-oriented limitations upon the predictive capacit of social networking sites to shape traditional media agendas over time.

A world of two agendas

2021 ◽  
Author(s):  
Milad Minooie
Keyword(s):  
Content Analysis ◽  
Media Effects ◽  
Agenda Setting ◽  
Media Content ◽  
Traditional Media ◽  
Media Environment ◽  
Intermedia Agenda Setting ◽  
Setting Process ◽  
The Media ◽  
Media Habits

Abstract This article studies the efficiency of different samples for content analysis of news in media effects studies by comparing the agenda-setting effect of a classic sample with the effect of a sample drawn based on audiences’ self-reported media habits. Contrary to the belief that exposure to sampled media content is necessary for observation of media effects, samples drawn based on overall readership/viewership of the media are more efficient than samples based on audiences’ actual consumption habits. A traditional media sample yields a stronger agenda-setting effect compared to a sample drawn based on self-reported media habits. But correlations between the two media samples are also strong. The findings suggest that a broad intermedia agenda-setting process makes it possible for researchers to draw a traditional sample that is representative of the issues salient to audiences regardless of their level of exposure to the sampled media. In other words, even in a demassified media environment, traditional samples are still the best option for media effects researchers.

scholarly journals Analysing inter-media agenda setting influence between Social media and electronic media; a perspective from Pakistan

2020 ◽  
Vol Volume 4 (Issue 2) ◽  
pp. 478-496
Author(s):  
Farrukh Shahzad ◽  
Prof. Dr. Syed Abdul Siraj
Keyword(s):  
Social Media ◽  
News Media ◽  
Agenda Setting ◽  
News Coverage ◽  
Electronic Media ◽  
Analysis Method ◽  
Traditional Media ◽  
Media Agenda ◽  
Content Analysis Method ◽  
Lagged Correlation

Inter-media agenda setting is a commonly used phenomenon to investigate the transfer of contents between news media. The recent digitization era challenges the traditional presuppositions. This study investigates the inter-media agenda setting influence between social media and traditional media. To address this question, the present study investigates first level agenda setting between Twitter and ARY news during Farishta murder case 2019. Content analysis method was used to assess agendas present within Twitter and ARY news. By employing cross-lagged correlation, the study investigates the inter-media agenda setting influence between Twitter agendas and of ARY news agendas. Aggregate findings of cross-lagged correlation reveal a clear agenda setting influence of Twitter on ARY news coverage agenda about Farishta murder case. The results of the study suggest that Twitter has the capability to influence broadcast agendas of television in Pakistan

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