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storybench.org

Revisión web de storybench.org

 Generado el 26 Junio 2021 14:46 PM

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La puntuación es 45/100

Contenido SEO
Título

Storybench from Northeastern University's School of Journalism - Storybench



Longitud : 75

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Descripción



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Propiedad Contenido
locale en_US
type website
title Storybench from Northeastern University's School of Journalism - Storybench
url https://www.storybench.org/
site_name Storybench
image https://www.storybench.org/wp-content/uploads/2019/09/storybench-img.jpg
image:secure_url https://www.storybench.org/wp-content/uploads/2019/09/storybench-img.jpg
image:width 1478
image:height 964
Titulos
H1 H2 H3 H4 H5 H6
1 0 45 5 10 0
  • [H1] The Climate Journalism Lab
  • [H3] We’re back! Reinventing Local TV News Project results published through RTDNA
  • [H3] Bike-friendly Boston: These five datasets let journalists track the city’s progress
  • [H3] Exploring climate data using the Python libraries Matplotlib and Pandas
  • [H3] Mapping toxic waste release sites using the Python library GeoPandas
  • [H3] How journalists use the EPA’s Toxics Release Inventory to report on environmental justice
  • [H3] Jan Diehm of the Pudding brings human-centered design to storytelling
  • [H3] Boston lacked a system for the public to keep tabs on police, so the Boston Globe built a public database
  • [H3] Reopen schools narrative spreads across shadowy local news sites
  • [H3] How news media are setting the 2020 election agenda: Chasing daily controversies, often burying policy
  • [H3] Facebook continues to run political ads with misinformation
  • [H3] Even before Ukraine news, Joe Biden was the 2020 candidate with the most media coverage
  • [H3] Pete Buttigieg is flooding Iowa and New Hampshire with Facebook ads about his climate plan
  • [H3] In the effort to cover impeachment inquiry, media ignores 2020 candidates
  • [H3] Gabbard, Booker and Biden get most negative media coverage over last four months
  • [H3] Exploring climate data using the Python libraries Matplotlib and Pandas
  • [H3] Mapping toxic waste release sites using the Python library GeoPandas
  • [H3] How journalists use the EPA’s Toxics Release Inventory to report on environmental justice
  • [H3] How to calculate a rolling average in R
  • [H3] Update: How to geocode a CSV of addresses in R
  • [H3] How to shift Alaska and Hawaii below the lower 48 for your interactive choropleth map
  • [H3] What I learned applying data science to U.S. redistricting
  • [H3] Boston lacked a system for the public to keep tabs on police, so the Boston Globe built a public database
  • [H3] How Stamen turned a photo archive into an interactive art experience
  • [H3] Storybench Founder Aleszu Bajak on the moral call of the pandemic and his return to daily data journalism
  • [H3] How Sean Evans made Hot Ones an Internet Sensation
  • [H3] How the Boston Globe encouraged readers to support restaurants through #ProjectTakeout
  • [H3] How the Wall Street Journal conducted a video investigation into the role of the Proud Boys at the Capitol
  • [H3] How Lazaro Gamio of the New York Times visualized the COVID-19 death toll
  • [H3] Insights
  • [H3] How journalists use the EPA’s Toxics Release Inventory to report on environmental justice
  • [H3] Storybench Founder Aleszu Bajak on the moral call of the pandemic and his return to daily data journalism
  • [H3] How disinformation fuels political polarization
  • [H3] How and why journalists must navigate the uncertainty of political forecasting
  • [H3] Roundups
  • [H3] Bike-friendly Boston: These five datasets let journalists track the city’s progress
  • [H3] C+J 2021: How the COVID-19 pandemic has shaped data journalism
  • [H3] A roundup of coronavirus dashboards, datasets and resources
  • [H3] Five ways organizations are visualizing carbon emissions
  • [H3] Reporters often cover traumatic events but discussions of mental health are rare in most newsrooms. That’s changing.
  • [H3] Journalism schools need to focus on data, local news, social media and business models. Here are some that are.
  • [H3] The future of machine learning in journalism
  • [H3] Journalists improve coverage of memes with careful reporting
  • [H3] How the Palm Beach Post unearthed an opioid conspiracy with roots in Florida
  • [H3] Social media and news: The dilemma of our time
  • [H3] How The Washington Post designs its Snapchat stories
  • [H4] Recent articles
  • [H4] 2020 Election Coverage Tracker
  • [H4] Tutorials
  • [H4] Behind the Scenes
  • [H4] Longform
  • [H5] What is Storybench?
  • [H5] Subscribe to our newsletter
  • [H5] Storybench 2020 Election Coverage Tracker
  • [H5] Best of Storybench
  • [H5] Projects
  • [H5] Join us at Northeastern!
  • [H5] Interviews
  • [H5] Collaborative, Open, Mobile
  • [H5] Storybench on Twitter
  • [H5] What is Storybench?
Imagenes Hemos encontrado 59 imágenes en esta web.

57 atributos alt están vacios o no existen. Agrega texto alternativo para que los motores de búsqueda puedan entender las imágenes.
Ratio Texto/HTML Ratio : 12%

El ratio entre texto y código HTML de esta página es menor que el 15 por ciento, esto significa que tu web posiblemente necesite más contenido en texto.
Flash Perfecto, no se ha detectado contenido Flash en la página.
Iframe Genial, no se han detectado Iframes en la página.

Reescritura URL Bien. Tus enlaces parecen amigables
Guiones bajos en las URLs Perfecto! No hemos detectado guiones bajos en tus URLs
Enlaces en página Hemos encontrado un total de 70 enlaces incluyendo 0 enlace(s) a ficheros



Ancla Tipo Jugo
Skip to content Interna Pasando Jugo
About Interna Pasando Jugo
Newsletter Externo Pasando Jugo
Behind the scenes Interna Pasando Jugo
Insights Interna Pasando Jugo
Research Interna Pasando Jugo
Interviews Interna Pasando Jugo
Longform Interna Pasando Jugo
Roundups Interna Pasando Jugo
For Educators Interna Pasando Jugo
Tutorials Interna Pasando Jugo
Projects Interna Pasando Jugo
2020 Election Tracker Interna Pasando Jugo
Reinventing TV Interna Pasando Jugo
Climate Journalism Lab Interna Pasando Jugo
Data Journalism in R Interna Pasando Jugo
We’re back! Reinventing Local TV News Project results published through RTDNA Interna Pasando Jugo
Pavithra Rajesh Interna Pasando Jugo
Bike-friendly Boston: These five datasets let journalists track the city’s progress Interna Pasando Jugo
Exploring climate data using the Python libraries Matplotlib and Pandas Interna Pasando Jugo
Mapping toxic waste release sites using the Python library GeoPandas Interna Pasando Jugo
How journalists use the EPA’s Toxics Release Inventory to report on environmental justice Interna Pasando Jugo
Jan Diehm of the Pudding brings human-centered design to storytelling Interna Pasando Jugo
Boston lacked a system for the public to keep tabs on police, so the Boston Globe built a public database Interna Pasando Jugo
Reopen schools narrative spreads across shadowy local news sites Interna Pasando Jugo
Aleszu Bajak Interna Pasando Jugo
How news media are setting the 2020 election agenda: Chasing daily controversies, often burying policy Interna Pasando Jugo
Facebook continues to run political ads with misinformation Interna Pasando Jugo
Even before Ukraine news, Joe Biden was the 2020 candidate with the most media coverage Interna Pasando Jugo
Pete Buttigieg is flooding Iowa and New Hampshire with Facebook ads about his climate plan Interna Pasando Jugo
In the effort to cover impeachment inquiry, media ignores 2020 candidates Interna Pasando Jugo
Gabbard, Booker and Biden get most negative media coverage over last four months Interna Pasando Jugo
Saima Sidik Interna Pasando Jugo
How to calculate a rolling average in R Interna Pasando Jugo
Update: How to geocode a CSV of addresses in R Interna Pasando Jugo
How to shift Alaska and Hawaii below the lower 48 for your interactive choropleth map Interna Pasando Jugo
What I learned applying data science to U.S. redistricting Interna Pasando Jugo
Emma Plante Interna Pasando Jugo
How Stamen turned a photo archive into an interactive art experience Interna Pasando Jugo
Storybench Founder Aleszu Bajak on the moral call of the pandemic and his return to daily data journalism Interna Pasando Jugo
How Sean Evans made Hot Ones an Internet Sensation Interna Pasando Jugo
How the Boston Globe encouraged readers to support restaurants through #ProjectTakeout Interna Pasando Jugo
How the Wall Street Journal conducted a video investigation into the role of the Proud Boys at the Capitol Interna Pasando Jugo
How Lazaro Gamio of the New York Times visualized the COVID-19 death toll Interna Pasando Jugo
Tools Interna Pasando Jugo
How disinformation fuels political polarization Interna Pasando Jugo
How and why journalists must navigate the uncertainty of political forecasting Interna Pasando Jugo
C+J 2021: How the COVID-19 pandemic has shaped data journalism Interna Pasando Jugo
A roundup of coronavirus dashboards, datasets and resources Interna Pasando Jugo
Five ways organizations are visualizing carbon emissions Interna Pasando Jugo
Reporters often cover traumatic events but discussions of mental health are rare in most newsrooms. That’s changing. Interna Pasando Jugo
George Barker and Stella Westlake Interna Pasando Jugo
Journalism schools need to focus on data, local news, social media and business models. Here are some that are. Interna Pasando Jugo
The future of machine learning in journalism Interna Pasando Jugo
Journalists improve coverage of memes with careful reporting Interna Pasando Jugo
How the Palm Beach Post unearthed an opioid conspiracy with roots in Florida Interna Pasando Jugo
Social media and news: The dilemma of our time Interna Pasando Jugo
How The Washington Post designs its Snapchat stories Interna Pasando Jugo
School of Journalism Externo Pasando Jugo
Co-Laboratory for Data Impact Externo Pasando Jugo
here Interna Pasando Jugo
here Interna Pasando Jugo
Apply Externo Pasando Jugo
School of Journalism Externo Pasando Jugo
Pizza, Press & Politics Interna Pasando Jugo
72 Externo Pasando Jugo
here Interna Pasando Jugo
- Externo Pasando Jugo
Proudly powered by WordPress Externo Pasando Jugo
NewsAnchor Externo Pasando Jugo

Palabras Clave SEO
Nube de Palabras Clave june data boston news local how journalists media journalism release
Consistencia de las Palabras Clave
Palabra Clave (Keyword) Contenido Título Palabras Claves (Keywords) Descripción Titulos
how 19
news 9
journalists 8
boston 7
data 7

Usabilidad
Url Dominio : storybench.org
Longitud : 14
Favicon Genial, tu web tiene un favicon.
Imprimibilidad No hemos encontrado una hoja de estilos CSS para impresión.
Idioma Genial. Has declarado el idioma en.
Dublin Core Esta página no usa Dublin Core.

Documento
Tipo de documento (Doctype) HTML 5
Codificación Perfecto. Has declarado como codificación UTF-8.
Validez W3C Errores : 17
Avisos : 60
Privacidad de los Emails Atención! Hemos encontrado por lo menos una dirección de correo electrónico en texto plano. Usa este protector antispam gratuito para ocultarla de los spammers.
HTML obsoleto Genial, no hemos detectado ninguna etiqueta HTML obsoleta.
Consejos de Velocidad
Excelente, esta web no usa tablas.
Muy mal, tu web está usando estilos embenidos (inline CSS).
Muy mal, tu página web usa demasiados ficheros CSS (más de 4).
Muy mal, tu sitio usa demasiados ficheros JavaScript (más de 6).
Su sitio web no se beneficia de gzip. Intente implementarlo en su sitio web.

Movil
Optimización Móvil
Icono para Apple
Etiqueta Meta Viewport
Contenido Flash

Optimización
Mapa del sitio XML ¡Perfecto! Su sitio tiene un mapa del sitio en XML.

http://storybench.org/sitemap.xml
Robots.txt http://storybench.org/robots.txt

¡Estupendo! Su sitio web tiene un archivo robots.txt.
Herramientas de Analítica ¡Perfecto! Su sitio web tiene una herramienta de análisis.

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