This document summarizes a study that analyzed local TV news coverage of the Affordable Care Act (ACA) from October 2013 to April 2014. The study found that coverage varied significantly across local TV markets and identified several factors that influenced the volume of coverage, including: the number of uninsured in a market, accessibility of sources and materials, station characteristics like ownership, and structural factors of media markets. The study provided evidence that news production is variable and complex, shaped by both audience interests and competing influences on news producers.
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This is a presentation I did as part of a class at the Bliss Institute Social Media & Politics (rather obvious from the title). I tried to outline my thoughts so not sure how useful the slides are but wanted to throw it up here for reference.
Presentation which I held in Mindtrek 2008. This is more like opening the discussion than closing it. So, how will ubuquitous media change the (political) live
Social Media & Politics Bliss Institute March 2012Kevin Holtsberry
This is a presentation I did as part of a class at the Bliss Institute Social Media & Politics (rather obvious from the title). I tried to outline my thoughts so not sure how useful the slides are but wanted to throw it up here for reference.
Presentation which I held in Mindtrek 2008. This is more like opening the discussion than closing it. So, how will ubuquitous media change the (political) live
Lecture to the Government Department's GV311 course on journalism and politics. History of relations between news media and politicians and reflections on the last UK Election. Plus consideration of news media role regarding Jeremy Corbyn's Labour party and its role in the EU referendum.
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Presentation developed for a series of lectures on the media and American politics for PS 101 American Government at the University of Kentucky, Spring 2007. Dr. Christopher S. Rice, Instructor.
Graham Davis - Social Media in PoliticsSMCgreatlakes
From how today’s political campaigns are using (and misusing) social media to how social media is changing the way we get news and information, Graham Davis’ presentation will focus on how social media is changing our political life – and what it means for you, even if you don’t work in the political world.
Presented to the #colconf10 College Conference in Canberra at the University of Canberra on 29/1/2015. An overview of Twitter, how it can be analysed, and things you can do in terms of looking at how political figures use their twitter accounts to engage (or not) with the public and other stakeholders.
Lecture to the Government Department's GV311 course on journalism and politics. History of relations between news media and politicians and reflections on the last UK Election. Plus consideration of news media role regarding Jeremy Corbyn's Labour party and its role in the EU referendum.
Political Communication In Digital Age – Social Media AnalysisVijaykumar Meti
In the age of digital world, social media are said to have an impact on the public sphere and communication in the society. Especially social media have been extensively using in political context. Popular social network sites like Facebook and Twitter are believed to have the potential for increasing political participation. While, microblogging site Twitter is an ideal platform for political institutions to spread not only information in general but also political opinions publicly through their networks. Political institutions, politicians, political foundations, etc. have also begun to use Facebook pages or community groups for the purpose of entering into direct dialogs with citizens and encouraging more political discussions.
This paper aims to assess the extent to which social media use of news agencies, political figures and ordinary citizens reflects recent political debates in Turkey. Inspired by Halpern and Gibbs’ study (2013), which analyzed comments posted on the White House’s YouTube Channel and Facebook page, I combine data from Twitter and Facebook to examine reactions expressed on social media concerning the worst mining accident in Turkey’s history. Using R’s twitteR package, I extract 250 tweets from news agencies and political figures and generate word clouds. I also estimate demographics of the news agencies’ audiences from a sample of 100 Facebook users who provide comments.
Presentation developed for a series of lectures on the media and American politics for PS 101 American Government at the University of Kentucky, Spring 2007. Dr. Christopher S. Rice, Instructor.
Graham Davis - Social Media in PoliticsSMCgreatlakes
From how today’s political campaigns are using (and misusing) social media to how social media is changing the way we get news and information, Graham Davis’ presentation will focus on how social media is changing our political life – and what it means for you, even if you don’t work in the political world.
Presented to the #colconf10 College Conference in Canberra at the University of Canberra on 29/1/2015. An overview of Twitter, how it can be analysed, and things you can do in terms of looking at how political figures use their twitter accounts to engage (or not) with the public and other stakeholders.
Informed Citizen Akron #2: Improving Candidate-Focused Media Coverage in the ...Jefferson Center
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The Republic of Korea HiT notes that economic development and universal health coverage through national health insurance has led to a rapid improvement in health outcomes. Overall, the health status of the Korean population is better than that of many other Asian countries. Reducing inequality in health coverage outcomes, strengthening primary health care and improving coordination between hospitals and long-term care facilities to meet the needs of the aged population are the challenges facing the Government.
Secondary Research is more than a few key strokes on Google. Similar to primary research, it requires diligence and analysis. For most communications pros, secondary research is an absolutely is answering the message, candidate and campaign questions.
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CRISPR-Cas9, a revolutionary gene-editing tool, holds immense potential to reshape medicine, agriculture, and our understanding of life. But like any powerful tool, it comes with ethical considerations.
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Media & the Politics of Implementation: Explaining Geographic Variation in Local TV Coverage of the ACA
1. Media & the Politics of
Implementation:
Explaining Geographic Variation in
Local TV Coverage of the ACA
Erika Franklin Fowler & Laura Baum, Wesleyan
Colleen L. Barry, John Hopkins Bloomberg
Jeff Niederdeppe, Cornell
Pinar Karaca-Mandic, Andrew Wilcock & Sarah E. Gollust, UMN
2. Funding from:
• Robert Wood Johnson Foundation through its State Health Care
Access Reform Evaluation (SHARE), Grant ID# 72179
• Wesleyan University
3. News as Commodity, not a Mirror
• News is a highly selective version of reality (Lippmann 1922; Gans
1979; Hamilton 2004)
• Much of political science assumes information transmission (see
Althaus et al. 2011)
• Even within communication, news production takes a backseat to
effects
4. Key Insight: Coverage Unlikely to be Uniform
• Audience characteristics
• Ease of access to story material
• Ownership characteristics
• Geographic proximity to story
• Congruence between media and political boundaries
• In other words, production is variable and complex
6. Data & Measures
• Closed captioned searches of local TV news from 10/1/13-4/15/14
• Key words: “health care,” “healthcare,” “Obama care,” “Obamacare”
and “Affordable Care Act”
• 685 stations in 208 media markets, all evening news (4:30-11:59pm)
• American Community Survey (ACS)
• Wesleyan Media Project political and insurance advertising data
• RWJF insurance market information
• BIA Kelsey Station Ownership Information
8. Local TV News Hits by Station
02468
FrequencyofStations
0 200 400 600
Number of Closed Captioning Hits
9. Analytic Approach
• Negative binomial count models
• Clustering by state, robust SEs (robust to hierarchical)
• All results from one model
10. Factors Shaping News: Audience Interest
Greater interest in the ACA in a market should drive coverage up
• Markets with more uninsured: more coverage
• Markets with more direct purchasers: more coverage
• Markets with high poverty: unclear
• Partisanship: unclear
• Political competition: more coverage
• Controls for news consumer demographics: age, sex, education, race
11. Factors Shaping News: Audience Interest
Coeff. (S.E.)
Uninsured (% 18-64 NCI population) 1.278** (0.597)
Indiv. health ins. enrollees (% 18-64 NCI pop) -0.206 (1.414)
Poverty (%) -3.093** (1.316)
White (%) -0.227 (0.205)
College grad or more (%) 0.982 (0.734)
Male (%) -17.73*** (3.353)
Ages 20-64 (%) 1.070 (1.684)
Ages 65+ (%) -1.107 (1.032)
Obama vote in DMA (%) 0.175 (0.266)
Margin of victory (50 – abs(Obama vote)) 0.214 (0.415)
12. Predicted Count by Proportion Uninsured
100150200250
PredictedNumberofACAHits
.04 .08 .12 .16 .2 .24 .28 .32
Proportion of 18-64 CNI Population w/o Health Insurance (ACS 2013 5-Yr Est)
13. Ease of Access to Sources & Story Materials
Availability of materials for ACA stories should increase coverage
• Accessibility of spokespeople should increase coverage
• Volume of ACA insurance and political ads should increase coverage
• Type of insurance marketplace: state-based should have more stories
14. Ease of Access to Sources & Story Materials
Coeff. (S.E.)
Consumer assistance funds (per uninsured) -0.00415 (0.00263)
Insurance ad volume (000s) 0.0195** (0.00900)
Political ad volume (000s) 0.0642 (0.0417)
Partnership exchange 0.200*** (0.0665)
State-based exchange 0.162** (0.0711)
15. Predicted Count by Exchange Type
140160180200220
PredictedNumberofACAHits
Federally-Facilitated Partnership State-Based
16. Station & Ownership Characteristics
Stations are enabled and constrained by their network affiliates and
ownership groups choices and priorities for programming
• Fox affiliates (more sports, fewer newscasts): less coverage
• Ownership profits: unclear
17. Station & Ownership Characteristics
Coeff. (S.E.)
CBS affiliate 0.0293 (0.0415)
Fox affiliate -0.228*** (0.0473)
NBC affiliate 0.162*** (0.0417)
Second tier (revenue) -0.114** (0.0490)
Lowest tier (revenue) -0.158*** (0.0483)
18. Predicted Count by Owner Revenue Tier
150160170180190200
PredictedNumberofACAHits
Largest Profits Mid-Tier Profits Lowest Profits
19. Structural Factors Affecting Production
Structural set-up of media markets (population served and geographic
congruence) matter
• Number of states within DMA: decrease coverage
• Population of the media market: decrease coverage
• Insurer competition: increase coverage (expect negative sign)
20. Structural Factors Affecting Production
Coeff. (S.E.)
# of states within DMA 0.0316 (0.0203)
DMA total population (Ms) -0.0321* (0.0174)
HHI (insurance competition) -2.02e-05 (1.28e-05)
21. Contribution & Future Directions
• Variance in news coverage of the ACA is predictable
• Systematic analysis of local TV across the country
• Future work
• Over time
• Assessing content
