Print this Page

2012 U.S. Presidential Election

1. “Popularity” in Tweets (Obama VS Romney) (Daily)

Dynamic Plotting Tool (Oct28 – Nov3): it provides comparative views of tweet search results containing the keyword “Obama” and “Romney” in each 30 city. The number of tweets collected in a city during the week is standardized by the city’s population size.

 

2. “Popularity” in Tweets (Obama VS Romney) (Weekly)

Dynamic Plotting Tool (Sep1 – Nov03): it provides comparative views of tweet search results containing the keyword “Obama” and “Romney” in each 30 city. The number of tweets collected in a city during the week is standardized by the city’s population size.

 

 

3. Social Media Information Landscapes (Tweets Search Results)

 

Map Showcase – Obama (Sep02 – Oct27): Thse maps represent weekly results of tweets search including the keyword “Obama” and “Romney” in 30 cities. Each Pie chart represent the ratio of Obama VS Romney. Circles are relatively bigger in the cities where the sum number of tweets including “Obama” and “Romney” is bigger. Likewise, circles are relatively smaller in the cities where the number of tweets including “Obama” and “Romney” is smaller.

 

 

 

4. Webpage Information Landscapes (Yahoo Web Engine Search Results)

 

Map Showcase – Romney VS Obama (Jun02 – Oct28):  These maps are a result of comparing two maps for the same date. The “Obama” dataset was subtracted from the “Romney” dataset, resulting in a map that displays areas where each candidate had a higher probability of web page mentions relative to the other candidate. Red areas represent a higher probability for Romney, and blue areas represent a higher probability for Obama.

 

 

Map Showcase – Obama Prominence (Jun02 – Oct28): These geocoded maps result from the keyword search for “Obama,” subtracting a baseline vocabulary search map. That is, a probability-of-use random sample of ordinary English language words are searched for their occurrence and this map is subtracted from the search map for the keyword “Obama.” The result is a representation of how prominent the use of the word “Obama” is relative to ordinary language use in websites.

 

 

Map Showcase – Romney Prominence (Jun02 – Oct28): These geocoded maps result from the keyword search for “Romney,” subtracting a baseline vocabulary search map. That is, a probability-of-use random sample of ordinary English language words are searched for their occurrence and this map is subtracted from the search map for the keyword “Romney.” The result is a representation of how prominent the use of the word “Romney” is relative to ordinary language use in websites.

 

 

 

5. WordCloud Maps (Frequency of Keywords in database)

   Obama                         Romney (Sep2 – Oct27)

Tweet Word clouds are made with tweets collected from Top 30 U.S. city aggregated to weekly basis.
The Twitter_Geo_Search tool uses Twitter Search API and collect tweet from Top 30 U.S. cities.
After extracting the top 800 vocab items from all the tweets text content, word clouds are created using the word cloud library in R.

 

Permanent link to this article: http://mappingideas.sdsu.edu/?page_id=383

Skip to toolbar