Fast Company Design Aerial Maps Reveal Twitter User Data of NYC and London
Tia Clarke — March 31, 2013 — Tech
References: fastcodesign & boingboing.net
These aerial tweet maps reveal information and user data about the way New Yorkers and Londoners tweet. The information highlighted in the maps reveals the most common languages people tweet in in these cities.
The detailed tweet map was created by James Chesire, Ed Manley and John Barratt of 'Fast Company Design.' The map shows their accumulated data of 8.5 million tweets which were collected over a three-year time period from January 2010 to Febraury 2013.
The beautiful images reveal that Spanish is by far the most popular language that New Yorkers tweeted in, followed by Portuguese and Japanese.
The creators of the social media mapping device commented on the multilingual results of the Midtown in New York and said it was: "like a someone spilled a jar of confetti across the island."
The detailed tweet map was created by James Chesire, Ed Manley and John Barratt of 'Fast Company Design.' The map shows their accumulated data of 8.5 million tweets which were collected over a three-year time period from January 2010 to Febraury 2013.
The beautiful images reveal that Spanish is by far the most popular language that New Yorkers tweeted in, followed by Portuguese and Japanese.
The creators of the social media mapping device commented on the multilingual results of the Midtown in New York and said it was: "like a someone spilled a jar of confetti across the island."
Trend Themes
1. Aerial Tweet Maps - Utilizing aerial tweet maps to analyze user data and language patterns in cities.
2. Language Trends - Identifying the most common languages used in tweets within specific cities.
3. Social Media Mapping - Creating detailed maps and visualizations based on accumulated tweet data.
Industry Implications
1. Social Media Analytics - Developing advanced analytics tools to analyze user behavior and language patterns on social media platforms.
2. Urban Planning - Using aerial tweet maps to inform urban planning strategies and understand cultural diversity in cities.
3. Data Visualization - Utilizing accumulated tweet data to create visually appealing and informative maps and visualizations.
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