• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
The Geospatial Characteristics of a Social Movement Communication Network

The Geospatial Characteristics of a Social Movement Communication Network



Presented at Political Networks 2013

Presented at Political Networks 2013
Bloomington, IN
Article: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055957



Total Views
Views on SlideShare
Embed Views



4 Embeds 514

http://karissamck.com 501
https://twitter.com 10
http://www.karissamck.com 2
http://blog.karissamck.com 1


Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment
  • When protests were organized in the past, during the so-called civil rights era, or even far before this and in other countries,
  • We saw individuals and institutionsorganizing by way of fax; recruiting new supporters by way of mail, and disseminating their message through newspapers and press releases.
  • Social movements are complex, political networks. The world has been captivated by hundreds of thousands of people entering the streets in protest during the arab spring as well as recent protests in turkey and brazil.
  • In the united states, the grass-roots Occupy movement sprang up in thousands of cities around the world. These protests seem to have sprang up spontaneously, quickly, with a unified message – 99%, “banks got bailed out, we got sold out”, and other slogans were common. But How did these protests organize?
  • Recent literature, and the intuitions of many protestors and observers, suggest that online social media have acted as catalysts for these protests
  • Social media can fosters the creation of international networks between millions of amateur “citizen journalists” activists and others.As we use these technologies, we leave digital traces that can be collected on a massive scale.We can collect the communication, organization, and information dissemination mechanisms, that movements use in a very public setting. For example, on Foursquare, users checked in to occupy encampments and encouraged others to participate in the protests, disseminating the location, time, and place of future events (for example).
  • How do we measure this spread of protest?
  • There are two separate social processes that have been identified in social movement communications.Collective framing: the social processes whereby movement participants negotiate the shared language and narrative frames that help define the movement's identity and goals.Resource mobilization: the work to marshal the physical and technological infrastructure, human resources, and financial capital necessary to sustain ongoing activity.Broader ideas of mechanisms within social movements
  • Motivations of the protestSocial and wealth inequalities, taxation disparitiesNon sustainable capitalistic market modelsPolitical corruption, corporate influence of government
  • We are constantly collecting an 8% random sample of Twitter data, and have been since July, 2010.
  • Retweeting is a mechanism of endorsement. When users retweet another, they send the information of that tweet to their followers’ social feeds. This is different than the mechanism of mentioning, which is when users are talking to, or about eachother on the platform. In this analysis, we are primarily focusing on the retweet mechanism. Future work might do well to study the in-group and out-group conversation.
  • We limit our study to the United States. We first want to compute where people are tweeting from, and extract their retweet networks.Each node is a state, and each edge is a retweet from one user to another in different, or the same, states. This includes cycles, so
  • We could just study the social movement’s communication alone, but we wanted to get a better picture as to how this communication was different than normal Twitter traffic.SO, we decided to analyze Occupy communication networks in comparison to those of Domestic Politics.
  • Over 500 million users and growing wordlwideLatitutide, longitude
  • geo
  • Thousand most popular strings manually, blacklisting those that didnot correspond to geographically meaningful entities. Drawn from a long tailed distribution, 53% ofall tweets in the data set are associated with a location among the 1,000 most popular responses, with27% of all tweets containing one of the top hundred location strings. From this set of one thousand weblacklisted 161 non-location strings, corresponding to 6% of the tweets associated with the 1,000 mostpopular responses.
  • NY, California and DC are producing most of the traffic proportionally to other states.Some states very active in political discourse, such as Kentucky or Alabama, show little to no interest in Occupy-related topics.
  • The intensity in the color represents how much the amount of Occupy-related traffic deviates from that of domestic politics per state.Maine and Oregon, outliers
  • Occupy-related discourse (on the right) shows a prominent hub-and-spoke structure differently from domestic politics (on the left).Multiscale backbone extraction – confidence level a = 0.15
  • Occupy communication patterns exhibit heightened local activity. More than 3 times than discussion about U.S. politics.
  • They produce much more Occupy-related information than that they consume, unlike other states.
  • Each node is a state, and each edge

The Geospatial Characteristics of a Social Movement Communication Network The Geospatial Characteristics of a Social Movement Communication Network Presentation Transcript

  • The Geospatial Characteristics of a Social Movement Communication Network By Karissa McKelvey Joint work with: MD Conover, C Davis, E Ferrara, F Menczer and A Flammini
  • 3
  • 4
  • 5
  • How does information about protest spread across geographically decentralized online communication networks?
  • Hypotheses • H1: Information about the protest is disseminated from prominent protest areas • H2: Communication between locals exhibit different signals than long-distance communication
  • [1] http://en.wikipedia.org/wiki/Timeline_of_Occupy_Wall_Street Key dates and events Sep 17th, 2011 – Zuccotti park encampment May 1st, 2012 – May Day protests Large protests in NY, DC and CA [1]
  • ~ 8% Random Sample
  • Retweet (forward) Mention (conversation) Method
  • Data Collection Occupy #ows and #occupy* 1.5M tweets >250k users Domestic Politics #tcot and #p2 825K tweets >68k users July 3rd, 2011 to March 12th, 2012
  • Self-reported location
  • Self- reported Location Cleaned location Analysis Geolocation Method Automatic Geolocation Bing API Black List White List
  • Geolocation Detection • State-level data – “New York, NY” -> “NY” – “Earth” -> “N/A” • Detect locations of 55.7% Occupy and 29.3% Domestic politics users • 53% are associated with a location among the 1,000 most popular self-reported responses
  • Geolocation Detection Method • Black List – Hand-coded 1,000 popular strings – e.g. “the dance floor” “Earth” – 161 locations, or 6% of the tweets • String “fuzzy matching” – Misspellings – Similarities, e.g. “on the dance floor”
  • Location Results Occupy Politics Total Users 257,000 68,000 Self-reported 174,760 (68%) 24,480 (36%) Location Detected 97,341 (38%) 7,099 (10%) U.S. State 36,794 (22%) 5,849 (8%)
  • How does the information travel, and from where?
  • Proportion of Retweet Traffic by State State (Ordered by Maximum for Each State) ProportionofTotalTraffic 0.00 0.05 0.10 0.15 0.20 0.25 NewYork California DistrictofColumbia Florida Texas Illinois Kentucky Massachusetts Wisconsin Oregon NewJersey Alabama Georgia Pennsylvania Michigan Arizona Virginia Washington Colorado NorthCarolina Minnesota Missouri Maryland Nevada Ohio Oklahoma SouthCarolina Indiana Tennessee Montana Louisiana NewHampshire RhodeIsland Kansas Hawaii Alaska Utah Mississippi Wyoming Iowa Maine NewMexico Connecticut Arkansas Vermont Idaho Delaware Nebraska WestVirginia NorthDakota SouthDakota stream Domestic Occupy
  • CACA DC NY Interstate communication
  • Are there differences between local and long-distance communication?
  • Ratio =
  • Summary • Occupy discourse on Twitter has highly localized geospatial structure: a large amount of traffic is produced and consumed locally per state. • Interstate communication is driven by high-profile locations acting as information broadcasters. • Proximity to on-the-ground events plays a big role: users from NY, DC and California are the main actors of the discourse.
  • Further Thoughts • Methodological contributions • Future work could investigate if other social movements exhibit different behaviors. • Twitter could very well be an important tool for catalyzing social movements, but more work needs to be done
  • Thanks!Papers at cnets.indiana.edu/groups/nan/truthy Sandro Flammini Bruno Conçalves Jacob Ratkiewicz LilianWeng Mike Conover Johan Bollen KarissaMcKelvey Przemek Grabowicz Mark Meiss AlexVespignani Alex Rudnick LucaAiello Fil Menczer Mohsen Jafari-Asbagh Onur Varol Emilio Ferrara Wednesday, September 26, 12
  • Karissa McKelvey @karissamck