New research challenges assumptions about Twitter news sharing communities

A new study of tweets spreading news from The New York Times finds that the Internet, while creating an open line of communication across continents, may at the same time be strengthening walls that separate users into ideological camps, and more.

Researchers for the study, “An Exploration of Social Identity: The Geography and Politics of News-Sharing Communities in Twitter,” collected 521,733 tweets posted by 223,950 unique users — all of them posting or retweeting at least three links referring to NYT articles over a fifteen day period, September 14 – 29, 2011. The tweeters were clustered by who communicates with whom, and groups were characterized by the topics they posted most, tweeters’ location, and their biography key words.

What the research team found were obvious and not so obvious connection points along with revelations that challenge easy assumptions about Twitter communities.

While liberal and conservative national political subgroups were identified, other dynamics were teased out in the mathematical modeling performed by the research team.

“A person who is cosmopolitan associates with others who are cosmopolitan, and a US liberal or conservative associates with others who are US liberal or conservative, creating separated social groups with those identities,” said Yaneer Bar-Yam, president of New England Complex Systems Institute (NECSI), where the research was done.

The clusters revealed not only local and national but also global (cosmopolitan) associations. The national group has subgroups specifically political (liberal and conservative) and one that is broadly interested in business, arts and sports. Contrary to frequent media portrayals, said Bar-Yam, the findings in turn suggest that online readers of The New York Times can have competing priorities and are not uniformly liberal.

“A significant fraction of the population has become so strongly identified with ideological camps that those identities drive their social associations,” said Bar-Yam. “For those who are concerned about the polarization of society into liberal and conservative camps, the results have both positive and negative connotations. There are specific subgroups that are polarized into opposing camps, but often associations are local, national and cosmopolitan.”

The study found these dominant clusters in this sample:

  • The cosmopolitan Global Political Group – those interested in international topics, who live in various cities around the world, including New York and Washington DC, are focused on human rights and politics, and may themselves be journalists.
  • The New York Scene – A New York City-oriented group interested in a diverse set of topics including world news, US news, business, arts, fashion and sports.
  • National Business – a group with the strongest focus on business, but also interest in world news, sports, fashion and the arts. It is geographically spread across the US.
  • Two clusters that are also US-based but are specifically liberal and conservative in their political orientation.

The study is available free at www.necsi.edu/research/social/nyttwitter/.

The authors note that more than 100 million tweets are posted each day, and that a significant portion includes links to online information.

Bar-Yam, in assessing the study, noted that “Twitter cannot be ignored in how peer-to-peer and mass media are connecting people separated in space and time—and what that means in the behavior of social systems.”

In a scientific context, each user, he said, “can be thought of as a node in a network, and the relationships as links between them.”

The study authors are Amaç Herdağdelen, Wenyun Zuo, Alexander Gard-Murray and Yaneer Bar-Yam. The work was supported in part by the Office of Naval Research.

Disclaimer: This is post is a press release from NECSI, with which I have no paid connection. While I have used tools borrowed from complexity science in the health sector, my primary interest lies in adapting such insights for everyday use.

Explaining the power of the Facebook social graph using containers and social networks

I had a great time at Lean Startup Machine London this weekend, learning about using lean startup ideas and practice from a social networking perspective to build a business. It helped that I’d already been to hear Eric Ries talk, thanks to a tip off from Andy at Crocodile Clips (currently looking for investment himself I believe, and I picked up a good contact for him at the event). And also because I’ve been helping Barnaby with his Name That Place concept, thinking about how to get proof of concept and wondering about what the best way to take that forward (btw he’s not in the office today at Regus, but moving lodgings to a house boat near Vauxhall:-)

So while I promised myself a lazy day today I wanted to quickly note down two things. I still have to prepare for a talk at Cass next week on using MVP to help corporates build successful online communities, and I still have ot find a job/drive revenue before my severance from eBay runs out in X number of weeks. So time is short and comes with a cost attached, and before I pop into town to watch Mr Spacey in ‘Margin Call’ here’s a couple of quick creative thoughts.

Containers – in a container (paper page) – in a container (photo) – in a container (blog post) – etc

Mapping containers to networksPhoto by Stuart Glendinning Hall

I like to try and simplify things where possible as that way you can get difficult things done more easily right? So in thinking about what works as a social business I came up with the idea of matching up ‘containers’ – that is simply a tool for mapping how a social concept might work. The example above is an attempt to show across 3 degrees of separation how in rough and ready terms a business like Airbnb  works best.

In trying to find somewhere to stay you are first going to see if any of your ‘friends’ live in the city you are visiting (the idea behind Airbnb is providing cheap places for people to stay in other people’s homes). But the chances they have a room in that city are ‘unlikely’ as your friendship network is relatively small. So you turn to ‘friends of friends,’ and they are ‘likely’ as they are my the virtue of wider geo-distribution going to have a possible place to stay. But maybe the night you want to stay they are busy? So the next container along, which for the sake of 3rd degree of separation symmetry I’ve called ‘friends of friends of friends’ is very likely to provide the room you want, and for the time/date you want. (It’s a nice fact that the average user on Facebook is connected to everyone else by 3.74 degrees of separation, so you can see why Facebook based commerce using the social graph is so potentially powerful).

As a side note I really liked the pivot by lean startup participants ‘You never know’ led by ‘Easy Ed’ (alliteration really helps remember ppl’s first names:-) who started with the idea of an app where you could get matched up with single people in your immediate social network, but found that people didn’t want to do that for themselves. But then on pivoting realised that ‘smug married’ people would happily introduce single people to other single people. Neat change of the social networking dynamic, from ‘doing it for yourself’ as a single person not working due to fear of rejection for example to someone with a networking ‘doing it for you’. So maybe that’s why blind dates work, so long as someone you know sets it up for you!

Superbowl Sunday: data crunchers vs grandmothers

While I was talking to Javi he happened to mention one of LSM London teams ‘hstream’ had a real time Twitter analytics idea. I got excited at the idea of tracking sentiment around Patriots vs Giants and even had a look at the odds at Betfair. I also tried Twitter manually, so to speak, and found and favorited one tweet which from a gambler’s perspective seemed to stand out. It turned out to be right, the 94-year-old grandmother backed the Giants, the winners of the Superbowl XLVI. Wonder what the results of hstream’s real time data analytics were?

PS: Post-Sony I now know this Giants case to be an example of #thinslicing on yes:-)

94-year-old grandmother predicts Giants to winPhoto by Stuart Glendinning Hall