Electoral Effects of Biased Media: Russian Television in Ukraine

Peisakhin, Leonid; Rozenas, Arturas

doi:10.2139/ssrn.2937366

Cited by 34 publications

(63 citation statements)

References 16 publications

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“…; Barone, D'Acunto, and Narciso ; DellaVigna and Kaplan ; DellaVigna et al. ; Enikopolov, Petrova, and Zhuravskaya 2011; Gentzkow, Shapiro, and Sinkinson ; Gerber, Karlan, and Bergan ; Martin and Yurukoglu ; Peisakhin and Rozenas ). In turn, I can only look at the ex ante reelection probability, as vote share is always zero or one with a representative voter.…”

Section: Empirical Implicationsmentioning

confidence: 99%

Are Biased Media Bad for Democracy?

Wolton

2019

American J Political Sci

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This article assesses the normative and positive claims regarding the consequences of biased media using a political agency framework that includes a strategic voter, polarized politicians, and news providers. My model predicts that voters are always better informed with unbiased than with biased outlets even when the latter have opposite ideological preferences. However, biased media may improve voter welfare. Contrary to several scholars' fears, partisan news providers are not always bad for democracy. My theoretical findings also have important implications for empirical analyses of the electoral consequences of changes in the media environment. The impact of left-wing and right-wing biased outlets depends on the partisan identity of officeholders. Empirical findings may, thus, not be comparable across studies or even over time within a study. Existing empirical works are unlikely to measure the consequences of biased media, as researchers never observe and can rarely approximate the adequate counterfactual: elections with unbiased news outlets.

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Section: Empirical Implicationsmentioning

confidence: 99%

Are Biased Media Bad for Democracy?

Wolton

2019

American J Political Sci

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“…Studies of "indexing" find that consensus among domestic politicians limits the types of foreign policy perspectives in the news (Bennett 1990), leading media to turn to foreign politicians for dissenting views (Hayes and Guardino 2013). Others show the market-driven U.S. media system provides less opportunity to learn about foreign affairs than media elsewhere (Soroka et al 2013, Aalberg et al 2010 and use this to explain the American public's comparative lack of knowledge on these topics (Curran et al 2009, Dimock andPopkin 1997) A second line of research isolates the effects of foreign media exposure using the crossborder spillover of television and radio signals (DellaVigna et al 2014, Crabtree et al 2015, Peisakhin and Rozenas 2018. While confined to border regions, these studies show foreign media can affect political behavior.…”

Section: Previous Research On Foreign Media Exposurementioning

confidence: 99%

A Window to the World: Americans' Exposure to Political News From Foreign Media Outlets

Peterson¹,

Damm²

2019

Preprint

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Political communication research overwhelmingly focuses on domestic media. Internet access has relaxed geographic constraints on news use to create an- other possibility: exposure to political coverage from foreign media outlets. We study the frequency and form of foreign media exposure in the United States using individual-level web browsing data and a content analysis of the news this sample encountered. This reveals foreign media exposure is widespread and internationally-oriented. 85% of these individuals visited a foreign source. Foreign media accounted for 7% of all news website visits. In a within-subject analysis of over three million visits to foreign and domestic websites, individuals were substantially more likely to encounter foreign affairs coverage, and less likely to reach coverage of U.S. domestic politics, when visiting foreign news sources. These findings show how new opportunities created by a changing media landscape shape public engagement with international politics.

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“…It is the standard model used by United States defense agencies (Jones, Layer, and Osenkowsky 2013). Social science researchers have used both of these models (e.g., Olken 2009;Enikolopov, Petrova, and Zhuravskaya 2011;DellaVigna et al 2014;Yanagizawa-Drott 2014;Adena et al 2015;Crabtree et al 2015;Durante et al 2017;Peisakhin and Rozenas 2017;Crabtree, Kern, and Pfaff forthcoming).…”

Section: Modeling Electromagnetic Signal Propagationmentioning

confidence: 99%

“…The standard approach for combining these transmitter-specific predictions is to use the maximum signal strength in any given area or location (e.g., Enikolopov et al 2011, 3264). Peisakhin and Rozenas (2017) exploit survey information about Russian television reception across the Ukrainian precincts in their sample to choose the optimal way of combining signal strengths from several transmitters. In our view, incorporating such external information is valuable because it provides an empirical benchmark.…”

Section: Using Itm and Tiremmentioning

confidence: 99%

“…This variation in signal strength, which is often plausibly exogenous (at least conditional on observables), can be used as a natural source of causal identification. Examples of this identification strategy include work on the effects of radio and television consumption on social capital in Indonesia (Olken 2009), the link between hate radio and collective violence in Rwanda (Yanagizawa-Drott 2014), radio's impact on the rise of the Nazis (Adena et al 2015), West German television's role during the East German revolution (Crabtree, Darmofal, and Kern 2015), the effects of Russian television on voting behavior in Ukraine (Peisakhin and Rozenas 2017), and the effects of entertainment television in Italy on votes for populist parties (Durante, Pinotti, and Tesei 2017).…”

Section: Introductionmentioning

confidence: 99%

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Using Electromagnetic Signal Propagation Models for Radio and Television Broadcasts: An Introduction

Crabtree¹,

Kern²

2018

Polit. Anal.

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This note offers an introduction to electromagnetic signal propagation models, which can be used to model terrestrial radio and television signal strength across space. Such data are useful to social scientists interested in identifying the effects of mass media broadcasts when (i) individual-level data on media exposure do not exist or when (ii) media exposure, while observed, is not exogenous. We illustrate the use of electromagnetic signal propagation models by creating a signal strength measure of military-controlled radio stations during the 2012 coup in Mali.

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Electoral Effects of Biased Media: Russian Television in Ukraine

Cited by 34 publications

References 16 publications

Are Biased Media Bad for Democracy?

Are Biased Media Bad for Democracy?

A Window to the World: Americans' Exposure to Political News From Foreign Media Outlets

Using Electromagnetic Signal Propagation Models for Radio and Television Broadcasts: An Introduction

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