“We Read, We Tweet” geographically visualizes Tweets about New York Times articles. Each line connects the location of a tweet to the contextual location of the article it references. The lines are generated based on the sequence in which the tweets occurred.
Now&Then : Exploring the mutual influence of popularity in music industry and news media
by Yoon and Seung
Some lovely visualizations coming out of Visualizar ‘09. Below is a screenshot from “New Political Interfaces”…a look into what politicians vs. news outlets are talking about:
Here is a link to the proposal: Powerpoint Proposal
idea 1
Overview:
The story of the stars (working title) explores the mutual influence of pop music and news media. The intention of this interactive visualization is to find correlation between rise and fall and popularity of the musicians over time. This visualization will compare the musicians’ success or fail on billboard chart and social, personal events on news articles related to the musicians regardless of their reputation. ex, after Michael Jackson died, album sales goes up)
Data:
Billboard open API
To use names of the artists from the billboard chart
+
NYT article search API
To get frequency of the musician’s names from the article
+
sentimental analysis API(evri) + NYT community API
to see positive/ negative opinions from people’s comment
Precedent :
Twitter data viz from MTV VMA
Michael Jackson billboard chart timeline from NYT
idea 2
Overview
This project will visualize the change of ranking history of bestselling books, and which publisher and author makes more/ less bestsellers, how long it takes for their books to become bestsellers after they are published( some books don’t get attention when they are published, but after certain events, suddenly they become top sellers. On the other hand, there are steady sellers. )
Data
NYT Best sellers api :
use ranking history, author, publisher, publish date
Precedents
360/365 Jer Thorp
idea 3
In the intrest of making data viz that can used in mobile platform, we thought about tracking hotspots in nyc ara. this idea is kind of broad as well, but might be worth exploring further. using nyt real estate api and other source like twitter( some place people casually talk about things ), how some area is more popular( sold well, get more attention) than others, which can be used as a tool to predict future rise in real estate market.
so with mobile phone, the visual will be changed based on the user’s location and the popularity of the spot.
1. Overview
My project will map the frequency of words related to the wars in Afghanistan and Iraq in relation to the number of American casualties in those two conflicts.
2. Data
NY Times Article Search API, TimesTags API, http://icasualties.org/
3. Design Questions
The shape of a graph of casualties in Iraq and Afghanistan will obviously be one that increases over time – sharply at first, then more slowly as time passes. My question is how much and until what point the number of
articles regarding the wars in the two regions follows the same slope. I would probably track these numbers month by month. I would also like to compare Iraqi civilian casualties, but this will be much more difficult. It would also be interesting to see the first mentions of an insurgency, as well as terms relating to withdrawal from the conflict.
4. Prior Art / Precedents
Most of the data visualizations I’ve seen about the war in Iraq have plotted the casualty count data against date, where the deaths took place, where the soldiers were from, and how their number compared to estimated Iraqi civilian deaths. I have not seen any that address the coverage of the conflict in the media or how it changed over time. I feel that this pattern makes the stories told by other data visualizations about the war that much more powerful and moving.
*Edit: Lie by Lie is an amazing interactive timeline of the events leading to the war in Iraq and asks who knew what when: our leaders, journalists, commentators, etc.
Our project, CongressTweets, looks at the relationship between your Congressmen’s political activity in Congress vs his/her activity on twitter. We are trying to find out if twitter activity is a good measure of political activity and good way for communicating with constituents. We were also interested in looking at voting trends relating to party, gender, and geography.
For this project we used the NYTimes Congress API as well as several Twitter related APIs.
Please find a zip of our code here
Opening Page
Missed Votes % vs Voted with Party % (Representatives)
Missed Votes % vs Voted with Party % (Senators)
Someone tweets a lot!
So does this guy!
Midterm Project by Rupa & Bobby.
This project started with a curiosity stemming from the standardized English Language Arts tests taken by all elementary school children in the NYCity public school system. When I was in 3rd grade, the highest percentile of test takers were told that they had a level of reading comprehension that enabled them to read the NYTimes. This experience led to questions:
Research indicated that many methods to calculate reading level exist and that most rely upon counting syllables (due to the complexity of polysyllabic words). Our tests showed that the NYTimes is consistently more difficult to read than Newsday, USA Today, the Wall Street Journal, and the Washington Post.
(The artist Jane mentioned in class today – I posted this to my blog the other day, probably should have posted it here too.)
Looking at stuff like this all day….
really makes me appreciate stuff like this.
By the late conspiracy theorist / artist Mark Lombardi. Check out this great piece about him on NPR here: The ‘Conspiracy’ Art of Mark Lombardi
My reading response to this week’s readings can be read here. Thanks.