Data Summary

2,250,841 Citations
745,811 Relationships
116,570 Persons
44,112 Business Persons
35,899 Organizations
13,825 Businesses
11,573 Lobbyists
7,596 Political Candidates
7,097 Political Fundraising Committees
4,114 Lawyers
3,714 Public Officials
3,160 Elected Representatives
2,741 Private Companies
2,206 Schools
2,086 Academics
2,060 Government Bodies
1,942 Individual Campaign Committees
1,872 Public Companies
1,851 Other Not-for-Profits
1,615 Other Campaign Committees
1,365 Lobbying Firms
1,326 Media Personalities
1,269 Philanthropies
631 Membership Organizations
316 Industry/Trade Associations
303 Law Firms
207 Policy/Think Tanks
181 Political Parties
106 PACs
102 Public Intellectuals
100 Cultural/Artses
76 Consulting Firms
65 Media Organizations
47 Professional Associations
46 Public Relations Firms
38 Social Clubs
36 Labor Unions
21 Government-Sponsored Enterprises
LittleSis features interlinked profiles of powerful individuals and organizations in the public and private sectors. Profiles detail a wealth of information vital to any investigation of the ways power and money guide the formulation of public policy, from board memberships to campaign contributions, old school ties to government contracts.

The site currently offers profiles of 116570 people and 35899 organizations in varying stages of completion. These include, but are not limited to:
  • Politicians: members of Congress since 1979, governors since 1974, Bush and Obama administration officials.
  • Business people: Fortune 1000 executives and directors, members of the Forbes 400.
  • Lobbyists who have lobbied on behalf of Fortune 1000 companies.
  • Government bodies: US House & Senate; agencies ranging from the Department of Defense to the IRS.
  • Businesses: Fortune 1000 companies, lobbying firms, top law firms, and other private companies.
  • Non-profits such as foundations, think tanks, and political organizations.

Relationships

LittleSis offers some data about these people and organizations themselves, but it's focus is on the relationships between them. There are currently 745811 relationships linking entities profiled in the database. The word "relationship" is broadly defined, and can include:
  • Organizational affiliations: employment, directorships, memberships.
  • Donations: political contributions, grants.
  • Social: family ties, mentorships, friendships.
  • Professional: partnerships, supervisory relationships.
  • Services/contracts: legal representation, government contracts, lobbying services.
Our focus on relationships distinguishes LittleSis from other important research websites that emphasize biographical narrative and history of abuses in their profiles of powerful people, making it a more powerful and flexible platform for exploring and analyzing social networks. For example, Exxon Mobil's Wikipedia page can offer a strong narrative account of the company, but isn't well-equipped to track historical information on the executives and directors of the corporation, the boards they sit on, and the politicians they support.

Moreover, LittleSis's data model minimizes bias and maximizes its reusability by other projects like mashups and network visualizations. Moreover, relationships can be easily aggregated to reveal patterns, saving users the manual tabulation. For example, LittleSis automatically shows which organizations are linked through common personnel, and which people donate to the same set of political candidates.

Wiki Features

Our data derives from government filings, news articles, and other reputable sources. Some data sets are updated automatically; the rest is filled in by our user community.

Making edits on LittleSis is more like adding friends on Facebook than modifying a Wikipedia page. The editing process mostly consists of adding relationships between people and groups. Users don't have to be great writers or learn a special formatting language in order to contribute quality information to LittleSis.

We have made accuracy a major priority for LittleSis; LittleSis implements stricter editing controls than typical wikis. Editors – called "analysts" on LittleSis – must provide a reference link for every update they make, and links must point to authoritative sources. This requirement not only ensures credible data, but also provides researchers with valuable links to further information.

Unlike Wikipedia, editors have to sign in to make edits. Registered users can choose to keep their real name hidden, but are still accountable to the community: all modifications to data are logged, so users that make inaccurate or malicious edits can lose editing privileges. Currently, LittleSis staff members enforce these standards, though the user community will eventually be self-policing.

Analyst Notes

The LittleSis developers are admittedly latecomers to Twitter. Microblogging makes nuanced argument difficult, but is quite effective for documenting simple facts and leads. What better model to mimic, then, for LittleSis’s analyst note system?

We’ve decided to modify Twitter’s format to make it more flexible for LittleSis analysts, thus feeding many birds with one worm:
  1. Notes let analysts keep memos — public or private — that make their own research easier and more complete. Notes are more useful when concise, but aren’t limited to Twitter’s 140 characters.
  2. Notes let analysts “alert” other analysts using Twitter’s @username markup. Multiple analysts can be “alerted” within one note. A private note can only be viewed by its author and any analysts it alerts
  3. Notes can link to any combination of entity, relationship, and list pages using a simple markup. For example, @entity:1 will create a link to Walmart, whereas @entity:1[biggest company in the world] will create a link to the biggest company in the world. @rel and @list work the same way.
  4. While notes are designed to the above needs, all of which LittleSis analysts have asked for, we encourage you to experiment with them and find new uses we haven’t thought of.
The note system is intended to strengthen the social layer on LittleSis, which is essential to keeping our data fresh, accurate, and relevant. Notes are still a work in progress, so let us know what you think!

Data Sources

Much of our data derives from government records and other free services that collect them.