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

Crabtree, Charles; Kern, Holger L.

doi:10.1017/pan.2018.8

Cited by 18 publications

(8 citation statements)

References 20 publications

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“…In addition, we combined proprietary data from the Liberia Telecommunications Authority (LTA) on the location of cell phone towers in the year 2013, with the most precise global-scale elevation data available, the 30-meter resolution ALOS Global Digital Surface Model, to estimate an Irregular Terrain Model (ITM) [40] and assess the strength of cell phone coverage. We used this measure of signal strength, defined between -50 and -140 decibel-milliwatts (dBm), to create a dichotomous variable of cell phone coverage.…”

Section: Datamentioning

confidence: 99%

Are socio-demographic and economic characteristics good predictors of misinformation during an epidemic?

Maffioli

Gonzalez

2022

PLOS Glob Public Health

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We combine data on beliefs about the origin of the 2014 Ebola outbreak with two supervised machine learning methods to predict who is more likely to be misinformed. Contrary to popular beliefs, we uncover that, socio-demographic and economic indicators play a minor role in predicting those who are misinformed: misinformed individuals are not any poorer, older, less educated, more economically distressed, more rural, or ethnically different than individuals who are informed. However, they are more likely to report high levels of distrust, especially towards governmental institutions. By distinguishing between types of beliefs, distrust in the central government is the primary predictor of individuals assigning a political origin to the epidemic, while Muslim religion is the most important predictor of whether the individual assigns a supernatural origin. Instead, educational level has a markedly higher importance for ethnic beliefs. Taken together, the results highlight that government trust might play the most important role in reducing misinformation during epidemics.

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Section: Datamentioning

confidence: 99%

Are socio-demographic and economic characteristics good predictors of misinformation during an epidemic?

Maffioli

Gonzalez

2022

PLOS Glob Public Health

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“…It has been demonstrated that negative framing of refugees influences mass attitudes: support for redistribution and integration diminishes (Avdagic and Savage 2020). We also refer to studies of political communication that demonstrate that consistent messaging has a non-trivial effect on party support and electoral outcomes (DellaVigna et al 2014; Adena et al 2015; Butler and De La O 2011; Crabtree and Kern 2018).…”

Section: Importance Of Foreign Political Communication In the Electionsmentioning

confidence: 99%

Illiberal Communication and Election Intervention during the Refugee Crisis in Germany

Elshehawy¹,

Gavras²,

Marinov³

et al. 2021

Perspect. polit.

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Populist discourse—which tends to benefit anti-systemic parties—has been on the rise in the world’s democratic states. Powerful non-democratic states have both the means and the incentive to spread such discourse to democratic states. We clarify the incentives illiberal states have to produce such communication, and delineate how this type of political communication fuses traditional state-to-state propaganda with election interventions. We draw on the case of Kremlin-sponsored communication on the issue of refugees in Germany to illustrate the mechanisms through which the discourse operates in target countries. We create a corpus of over a million news stories to identify the prevalence of illiberal discourse and its timing relative to Germany’s elections. We show that the Kremlin intervened in the 2017 federal elections by promoting refugee stories over and above the rate at which German outlets did. We discuss the broader implications for the use of directed political communication as a form of election intervention.

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“…In cases where the number of precincts is more than one, I average the result of vote. To estimate the reception of Russian analog TV in every county, I used RadioMobile, a tool for predicting radio and TV wave propagation based on Irregular Terrain Model (ITM) described in Crabtree and Kern (2018). ITM takes into account the power and the frequency of the transmitters, the height above the ground and geographical coordinates of the towers, elevation data and the signal path loss.…”

Section: Empiricsmentioning

confidence: 99%

Effects of Biased Media on Foreign Policy Preferences: Evidence from a Natural Experiment

Kirkizh¹

2021

Preprint

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The expansion of globalization has made a country's prosperity increasingly dependant on foreign politics. This article shows how Russian television's inflammatory coverage of European politics affected the vote during the European Union membership referendum in Latvia. For identification, I use plausibly exogenous variation of the signal from Russian analog TV towers that was available during the referendum to Latvian counties located close to the Russian border. The analysis of the electoral data showed that in counties with the Russian television reception, votes "for" outperformed votes "against" joining the European Union compared to counties without the reception. Moreover, the effect of Russian television persisted even in counties densely populated by ethnic Russians. Contrary to previous experimental studies, the evidence suggests that specifically in the context of foreign politics, foreign biased media increase the salience of foreign policy issue but is unable to shift the direction of the public response.

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

Cited by 18 publications

References 20 publications

Are socio-demographic and economic characteristics good predictors of misinformation during an epidemic?

Are socio-demographic and economic characteristics good predictors of misinformation during an epidemic?

Illiberal Communication and Election Intervention during the Refugee Crisis in Germany

Effects of Biased Media on Foreign Policy Preferences: Evidence from a Natural Experiment

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