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---
layout: base.njk
title: "Blog Analysis"
header_title: 'Blog <strong>Analysis</strong>'
header_subtitle: "Patterns in a decade of digital scholarship publishing at the Loretta C. Duckworth Scholars Studio, 2014–2026"
body_class: page-analysis
permalink: /analysis/
extra_head_js:
- "https://cdn.jsdelivr.net/npm/chart.js@4.4.1/dist/chart.umd.min.js"
---
<div class="container" style="padding-top: 3rem; padding-bottom: 3rem;">
<div class="analysis-intro">
<h2>By the Numbers</h2>
<p>The LCDSS blog has served as the public record of the Scholars Studio since its founding in 2014. Every post below was cataloged from the blog's RSS feed to produce these visualizations.</p>
</div>
<div class="stats-row">
<div class="stat-card">
<div class="number">230</div>
<div class="label">Total Blog Posts</div>
</div>
<div class="stat-card">
<div class="number">12</div>
<div class="label">Years Active</div>
</div>
<div class="stat-card">
<div class="number">90+</div>
<div class="label">Unique Authors</div>
</div>
<div class="stat-card">
<div class="number">35+</div>
<div class="label">Disciplines Covered</div>
</div>
<div class="stat-card">
<div class="number">19.2</div>
<div class="label">Avg. Posts / Year</div>
</div>
</div>
<div class="chart-section">
<h3>Publications Per Year</h3>
<p class="description">Annual output of blog posts from the studio's founding in mid-2014 through early 2026. Publication volume peaked in 2017 during a period of rapid program expansion, then stabilized. The 2020 dip coincides with the COVID-19 pandemic.</p>
<div class="chart-wrapper">
<canvas id="yearChart"></canvas>
</div>
</div>
<div class="chart-row">
<div class="chart-section">
<h3>Seasonal Publishing Pattern</h3>
<p class="description">Post counts aggregated by month across all years. Publishing peaks in the fall and spring semesters, with a pronounced dip during summer months—reflecting the academic calendar.</p>
<div class="chart-wrapper">
<canvas id="monthChart"></canvas>
</div>
</div>
<div class="chart-section">
<h3>Top Disciplines</h3>
<p class="description">The most frequently tagged disciplinary categories across all blog posts.</p>
<div class="chart-wrapper">
<canvas id="categoryChart"></canvas>
</div>
</div>
</div>
<div class="chart-section">
<h3>Digital Methods Over Time</h3>
<p class="description">Tracking the rise and fall of specific digital methods across four eras. Early years focused on text analysis and mapping; VR and 3D entered mid-decade; critical making and machine learning grew in later years.</p>
<div class="chart-wrapper">
<canvas id="methodsChart"></canvas>
</div>
</div>
<div class="chart-row">
<div class="chart-section">
<h3>Author Roles</h3>
<p class="description">Distribution of blog post authors by role. Graduate students are the primary contributors, reflecting the studio's emphasis on training.</p>
<div class="chart-wrapper">
<canvas id="authorChart"></canvas>
</div>
</div>
<div class="chart-section">
<h3>Most Prolific Contributors</h3>
<p class="description">Authors with the most blog posts over the studio's history.</p>
<div class="chart-wrapper">
<canvas id="topAuthorsChart"></canvas>
</div>
</div>
</div>
<div class="chart-section">
<h3>Cumulative Blog Growth</h3>
<p class="description">Total number of posts published over time, showing steady growth from June 2014 through early 2026.</p>
<div class="chart-wrapper">
<canvas id="cumulativeChart"></canvas>
</div>
</div>
<div class="chart-section">
<h3>Year-by-Year Breakdown</h3>
<table class="data-table">
<thead>
<tr>
<th>Year</th>
<th>Posts</th>
<th>Distribution</th>
<th>Notable Themes</th>
</tr>
</thead>
<tbody id="yearTable"></tbody>
</table>
</div>
<div class="methodology">
<h3>Methodology</h3>
<p>This analysis was compiled by systematically crawling all 26 pages of the LCDSS blog RSS feed at <code>sites.temple.edu/tudsc/feed/</code>, extracting publication dates, authors, and category tags for each post. Category tags were manually grouped into disciplinary fields and digital method clusters. Author roles were inferred from blog category tags (e.g., "Grad Students," "Staff," "Faculty Fellowships"). All charts are rendered client-side using Chart.js. Data was collected in February 2026.</p>
</div>
</div>
<script>
const yearData = {
labels: ['2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024', '2025', '2026'],
counts: [14, 27, 28, 36, 25, 10, 10, 14, 16, 12, 22, 13, 3]
};
const monthData = {
labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
counts: [11, 18, 22, 17, 21, 18, 10, 11, 26, 24, 22, 30]
};
const categoryData = {
labels: ['Grad Students', 'Digital Humanities', 'History', 'Media & Comm', 'Art History', 'Cultural Studies', 'Geography/GIS', 'Literary Studies', 'Computer Science', 'Gaming Studies', 'Visual Art', 'Education', 'Film Studies'],
counts: [145, 42, 35, 30, 28, 26, 25, 22, 18, 16, 14, 13, 10]
};
const methodsData = {
labels: ['2014\u20132016', '2017\u20132018', '2019\u20132021', '2022\u20132025'],
datasets: [
{ label: 'Text Analysis', data: [12, 14, 8, 10], color: '#9D2235' },
{ label: 'Mapping / GIS', data: [8, 12, 10, 14], color: '#c9485b' },
{ label: 'Network Analysis', data: [5, 8, 4, 4], color: '#e8c547' },
{ label: '3D / VR / AR', data: [6, 10, 8, 12], color: '#1a1a2e' },
{ label: 'Critical Making', data: [3, 5, 4, 10], color: '#4a7c59' },
{ label: 'Machine Learning', data: [0, 1, 6, 4], color: '#5b7ea1' }
]
};
const authorRoleData = {
labels: ['Graduate Students', 'Staff', 'Faculty/Fellows', 'Undergraduates', 'External/HASTAC'],
counts: [145, 40, 25, 8, 12]
};
const topAuthorsData = {
labels: ['Luling Huang', 'Kaelin Jewell', 'Emily Logan', 'Matt Shoemaker', 'Crystal Tatis', 'Jasmine Clark', 'Liz Rodrigues', 'Hannah Tardie', 'Andrea Siotto', 'Danielle Abdon'],
counts: [14, 12, 11, 10, 8, 7, 7, 7, 6, 6]
};
const yearMeta = [
{ year: '2014', posts: 14, themes: 'Founding year: DH methods, text analysis, network analysis, first Digital Scholars cohort' },
{ year: '2015', posts: 27, themes: 'VR/Oculus Rift experiments, stylometry, GIS mapping, Dig!Arts, critical making with Arduino' },
{ year: '2016', posts: 28, themes: 'Web scraping, WWI mapping series, stereoscopic VR, OpenRefine tutorials, makerspace launch' },
{ year: '2017', posts: 36, themes: 'Peak output: Gen Con archive, Queer Encoding conference, sci-fi corpus, 360\u00b0 video, R tutorials' },
{ year: '2018', posts: 25, themes: 'Virtual Blockson VR, misinformation networks, CLIR fellows, unsupervised learning series' },
{ year: '2019', posts: 10, themes: 'YouTube network analysis, HathiTrust corpus, DH podcast launch, QGIS tutorials' },
{ year: '2020', posts: 10, themes: 'COVID-19 impact: remote photogrammetry, machine learning for health, DLP 3D printing' },
{ year: '2021', posts: 14, themes: 'Recovery: Blender archaeology, Wikidata series, New Sweden database, settler colonialism GIS' },
{ year: '2022', posts: 16, themes: 'Black Philadelphia heritage, Colombian wetlands, meme stock analysis, student writing computation' },
{ year: '2023', posts: 12, themes: 'Urban bee habitat GIS, Buddhist network analysis, game design, GIS Minoan archaeology' },
{ year: '2024', posts: 22, themes: 'Makerspace residencies launch, Banned Books Project, Benin Bronzes, Game Jam, Green Design Lab' },
{ year: '2025', posts: 13, themes: 'Istanbul churches archive, Fletcher Street mapping, critical making pedagogy, Faculty Learning Community' },
{ year: '2026', posts: 3, themes: 'Staff profiles, ongoing programs (year in progress)' }
];
const cherry = '#9D2235';
const cherryLight = '#c9485b';
const cherryAlpha = 'rgba(157, 34, 53, 0.15)';
new Chart(document.getElementById('yearChart'), {
type: 'bar',
data: {
labels: yearData.labels,
datasets: [{
label: 'Blog Posts',
data: yearData.counts,
backgroundColor: yearData.labels.map((_, i) =>
i === yearData.labels.length - 1 ? 'rgba(157, 34, 53, 0.4)' : cherry
),
borderRadius: 4
}]
},
options: {
responsive: true,
maintainAspectRatio: true,
plugins: {
legend: { display: false },
tooltip: {
callbacks: {
afterLabel: function(ctx) {
if (ctx.dataIndex === yearData.labels.length - 1) return '(Year in progress)';
return '';
}
}
}
},
scales: {
y: { beginAtZero: true, title: { display: true, text: 'Number of Posts' } },
x: { title: { display: true, text: 'Year' } }
}
}
});
new Chart(document.getElementById('monthChart'), {
type: 'radar',
data: {
labels: monthData.labels,
datasets: [{
label: 'Posts',
data: monthData.counts,
backgroundColor: 'rgba(157, 34, 53, 0.2)',
borderColor: cherry,
borderWidth: 2,
pointBackgroundColor: cherry,
pointRadius: 4
}]
},
options: {
responsive: true,
maintainAspectRatio: true,
plugins: { legend: { display: false } },
scales: { r: { beginAtZero: true, ticks: { stepSize: 5 } } }
}
});
new Chart(document.getElementById('categoryChart'), {
type: 'bar',
data: {
labels: categoryData.labels,
datasets: [{
label: 'Posts Tagged',
data: categoryData.counts,
backgroundColor: cherry,
borderRadius: 3
}]
},
options: {
indexAxis: 'y',
responsive: true,
maintainAspectRatio: true,
plugins: { legend: { display: false } },
scales: { x: { beginAtZero: true, title: { display: true, text: 'Number of Tagged Posts' } } }
}
});
new Chart(document.getElementById('methodsChart'), {
type: 'bar',
data: {
labels: methodsData.labels,
datasets: methodsData.datasets.map(d => ({
label: d.label,
data: d.data,
backgroundColor: d.color,
borderRadius: 2
}))
},
options: {
responsive: true,
maintainAspectRatio: true,
plugins: { legend: { position: 'bottom' } },
scales: {
x: { stacked: true },
y: { stacked: true, beginAtZero: true, title: { display: true, text: 'Posts Using Method' } }
}
}
});
new Chart(document.getElementById('authorChart'), {
type: 'doughnut',
data: {
labels: authorRoleData.labels,
datasets: [{
data: authorRoleData.counts,
backgroundColor: ['#9D2235', '#c9485b', '#e8c547', '#1a1a2e', '#4a7c59'],
borderWidth: 2,
borderColor: '#fff'
}]
},
options: {
responsive: true,
maintainAspectRatio: true,
plugins: { legend: { position: 'bottom', labels: { boxWidth: 14, padding: 12 } } }
}
});
new Chart(document.getElementById('topAuthorsChart'), {
type: 'bar',
data: {
labels: topAuthorsData.labels,
datasets: [{
label: 'Posts',
data: topAuthorsData.counts,
backgroundColor: cherryLight,
borderRadius: 3
}]
},
options: {
indexAxis: 'y',
responsive: true,
maintainAspectRatio: true,
plugins: { legend: { display: false } },
scales: { x: { beginAtZero: true, title: { display: true, text: 'Number of Posts' } } }
}
});
const cumulative = [];
let running = 0;
yearData.counts.forEach(c => { running += c; cumulative.push(running); });
new Chart(document.getElementById('cumulativeChart'), {
type: 'line',
data: {
labels: yearData.labels,
datasets: [{
label: 'Total Posts',
data: cumulative,
borderColor: cherry,
backgroundColor: cherryAlpha,
fill: true,
tension: 0.3,
pointRadius: 5,
pointBackgroundColor: cherry
}]
},
options: {
responsive: true,
maintainAspectRatio: true,
plugins: { legend: { display: false } },
scales: {
y: { beginAtZero: true, title: { display: true, text: 'Cumulative Posts' } },
x: { title: { display: true, text: 'Year' } }
}
}
});
const tableBody = document.getElementById('yearTable');
const maxPosts = Math.max(...yearMeta.map(y => y.posts));
yearMeta.forEach(row => {
const barWidth = Math.round((row.posts / maxPosts) * 200);
tableBody.innerHTML += `
<tr>
<td><strong>${row.year}</strong></td>
<td>${row.posts}</td>
<td class="bar-cell"><span class="bar" style="width: ${barWidth}px;"></span></td>
<td>${row.themes}</td>
</tr>
`;
});
</script>