diff --git a/index.html b/index.html index 5399fd2..c9663c3 100644 --- a/index.html +++ b/index.html @@ -1,7 +1,7 @@ - How the War in Ukraine is Portrayed in U.S. media + Home Page @@ -28,7 +28,7 @@

By Luke Schields, Sly Yushchyshyn, and Alina Beskrovna

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On February 24, 2022, Russia launched a full-scale invasion of Ukraine. In response, many NATO member nations, including the United States, have sent financial, humanitarian, and military aid to Ukraine to support their efforts. As the war has played out, providing this aid has become a political football in the United States with the latest relief legislation failing in Congress in December 2023 after being panned by Republican Members of Congress. As support for providing aid to Ukraine begins to show cracks along ideological lines, we aim to investigate how the war in Ukraine is portrayed by media outlets across the political spectrum and how these may contribute to this development.

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On February 24, 2022, Russia launched a full-scale invasion of Ukraine. In response, many NATO member nations, including the United States, have sent financial, humanitarian, and military aid to Ukraine to support their war efforts. As the war has played out, providing this aid has become a political football in the United States with the latest relief legislation failing in Congress in December 2023 after being panned by Republican members of Congress. As support for providing aid to Ukraine begins to show cracks along ideological lines, we aim to investigate how the war in Ukraine is portrayed by media outlets across the political spectrum and how these may contribute to this development.


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By Luke Schields, Sly Yushchyshyn, and Alina Beskrovna

Cite This Project

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If you would like to cite any of this project, please feel free to use any of the premade citations below.

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If you would like to cite any portion of this project, please feel free to use any of the premade citations below.


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Cite This Project


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diff --git a/main.js b/main.js index 499ec4b..0f7fa41 100644 --- a/main.js +++ b/main.js @@ -47,11 +47,6 @@ document.addEventListener('DOMContentLoaded', function() { } }); - if (!twitterWindow) { - console.error('Failed to open Twitter share window. Make sure popups are allowed for this site.'); - } -} - /* Download Chart Button */ function downloadChart() { // Get the selected year from the dropdown diff --git a/styles.css b/styles.css index 13e3c5d..88cb63e 100644 --- a/styles.css +++ b/styles.css @@ -96,6 +96,7 @@ li { .centered-clipped { width: 1000px; margin: auto; + text-align: center; top: 50px; left: 50%; } diff --git a/tv_media.html b/tv_media.html index ab5da24..f89e0d4 100644 --- a/tv_media.html +++ b/tv_media.html @@ -1,13 +1,14 @@ - Television Media + National Press + @@ -23,17 +24,15 @@

American Network Television Media

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American Network Television Media

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While most major network television new sources have covered the war in Ukraine, not all coverage is the same. Different stations have different agendas and their coverage of events is colored by these biases. The table below analyzes the coverage of Ukraine by the three main network television sources by examining their relative use of seleted words included in their coverage of Ukraine.


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To examine this, we developed a list of words that might signal the tone or context of a given story on Ukraine (left column). We then gathered data totaling how many times each station included this word within 3 minutes of using the word "Ukraine". Using these totals, we determined the average useage of each word across all three stations by year and the standard deviation of the three values. Standard deviation is a common statistical measure of the spread of values in a given set of values, think: the average distance of each value in a set from the average. The values depicted in the table below indicate each stations distance, measured in standard deviation, away from the average of all three, also known as a z-score.

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To explore this, we developed a list of words that might signal the tone or context of a given story on Ukraine (left column). We then gathered data totaling how many times each station included this word within 3 minutes of using the word "Ukraine." Using these totals, we determined the average useage of each word across all three stations by year and the standard deviation of the three values. Standard deviation is a common statistical measure of the spread of a set of values relative to their average. The values depicted below indicate the distance, measured in standard deviation, each station is away from the average of all three, also known as a z-score.


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Put simply, extreme values (more than 1 or less than -1) indicate a station used this word much more frequently or much less frequently than the average of all three stations. Higher values mean a network used a word more frequently in association with the word "Ukraine" than the average across the three networks. All data is cumulative by year. To examine the underlying data, download the excel below.

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Put simply, extreme values (less than -1 or more than 1) indicate a station used this word much more frequently or much less frequently than the average of all three stations. Higher values mean a network used a word more frequently in association with the word "Ukraine" than the average across the three networks. All data is cumulative by year. To examine the underlying data, download the excel below.