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Social Networks during crises: a
Study
   Pablo A. Acuña
   10/11/2011
   References on these slides: http://bit.ly/twtstudy
Objective
Analyze the behavior of emergency governmental
agencies on social networks in crisis situations

Some questions that arise:
- Are social networks used in crises? If so,
        - When are they used? (e.g. Pre-crisis, during crisis or post-crisis)
        - What kind of information is published?
- Is there a communication with other users? If so,
        - With who? General public and/or other agencies?
        - Is it a one-way or two-way communication?
- Other…
References: http://bit.ly/twtstudy                              DEI Meeting – 10/nov/2011
Possible data

• Quantitative:
        – # of publications
        – # of retweets, reply/mentions, shares, likes, etc.


• Qualitative:
        –    Type of content published
        –    Meta-data of posts (date and time, location, etc.)
        –    Multimedia elements
        –    Communication and interaction with other accounts


References: http://bit.ly/twtstudy                             DEI Meeting – 10/nov/2011
Methodology
• Grounded theory:
        An inductive qualitative research method which starts from a set
        of data and aims to develop a theory. It consists on an iterative
        process of data collection and analysis in order to extract a theory
        [Glasser & Strauss, 1967; Corbin & Strauss, 2008].
        – Stages:
               •       Open coding
               •       Development of concepts
               •       Grouping concepts into categories
               •       Formation of a theory
• Content analysis:
        “Any technique for making inferences by objectively and
        sistematically identifying specified characteristics of messages.”
        [Holsti, 1969]

References: http://bit.ly/twtstudy                             DEI Meeting – 10/nov/2011
Methodology
• Coding
        Coding is a process to analyze text content that “involves interacting
        with data, making comparisons between data, and so on, and in doing
        so, deriving concepts to stand for those data, then developing those
        concepts in terms of their properties and dimensions” *Corbin et al.,
        2008].
• Common procedure:
        – Based on a set of collected data, coding can be a priori or emergent.
          It usually requires different analysts to code the data (or a subset),
          compare and consolidate the categories, reliability test on coded
          data and repetitions of the procedure in order to achieve a reliable
          analysis.
• Similar approaches:
        – Action-object pairing with coding techniques [Zhang & Jansen, 2008]
        – Noticing, collecting and thinking [Seidel, 1998]

References: http://bit.ly/twtstudy                                 DEI Meeting – 10/nov/2011
Related studies                                                                 Man-made/technological crises

Studies & Events                                               Quant.   Qual.            Description
[Vieweg et al., 2010]          Red River Flooding, 2009, USA                    Qualitative data coding from
                                                                         X      both events. Use of E-Data
                               Oklahoma Fires, 2009, USA                        Viewer for iterations
[Starbird & Palen,             Red River Flooding, 2009, USA                    Coding of individual tweets
2010]                                                            X       X      and tweet streams and
                               Oklahoma Fires, 2009, USA                        analysis of RTs, URLs, etc.
[Hughes & Palen,               Gustav Hurricane, 2008                           Quantitative analysis of # of
2009]                                                                           tweets, tweets per user,
                               Ike Hurricane, 2008                              replies , URLs and new users.
                                                                 X
                               DNC, 2008, USA
                               RNC, 2008, USA
[Starbird & Palen,             Haiti Earthquake, 2010                           A priori coding for analyzing a
2011]
                                                                         X      particular category (#TtT)
[Caragea et al., 2011]         Haiti Earthquake, 2010                           Classification by keywords and
                                                                         X      machine learning algorithm
[Bajpai & Jaiswal,             Thailand protests, 2010                          Content coding based on
2011]
                                                                         X      categories from literature
[Vieweg et al., 2008]          Virginia Tech Shootings, 2007             X      Empirical based on messages

[Gaffney, 2010]                Iran Elections, 2009              X              Quantitative study of twitter
References: http://bit.ly/twtstudy                                                       DEI Meeting – 10/nov/2011
Related studies (2)
Studies & Events                                                Quant.   Qual.           Description
[Mendoza et al.,               Chile earthquake, 2010                            Study of Retweet usage, and
2010]
                                                                  X       X      empirical analysis of rumors
[Borge-Holthoefer et           #15m movement, Spain                              Evolution and popularity of
al., 2011]
                                                                  X              twitter during #15m
[Qu et al., 2011]              China earthquake, 2010             X       X      Distributed coding

General studies of social networks during crises situations:
*Tapia et al., 2011+ : “Seeking the trustworthy tweet” (short                    Interviews with organizations
name)                                                                     X      to discover mismatchs and
                                                                                 future directions
[Latonero & Shklovski, 2010+: “Emergency management and                          Interview with social media
social media evangelism”
                                                                          X      “innovator” and findings

Not related to crises:
- “Twitter use by the U.S. Congress” *Golbeck et al., 2009]: Qualitative analysis using
      coding to categorize congressmen behavior on twitter
-     “Twitter power: Tweets as Electronic word of mouth” *Jansen et al., 2009]:
      Qualitative analysis of twitter publications with respect to brands, using a coding
      technique and an action-object approach
References: http://bit.ly/twtstudy                                                        DEI Meeting – 10/nov/2011
Ideas & proposal
• A multi-step approach consisting on:
        – Selecting a set of governmental agencies involved in crisis
          management from different countries and with diverse
          competences (with accounts on social networking sites)
                • EMA, OEP, police, national guard, etc.
        – Data collection using social networks APIs from past
          events
        – Iterative open-coding process to define initial categories
                • Various coders?
                • A priori coding based on literature (on/off-topic, crises stages, …)
        – Validation and consolidation of categories
                • If applies, definition of subcategories and relation of concepts
        – Perform reliability tests
        – Repeat the process, use a present or close event to
          validate coding.
References: http://bit.ly/twtstudy                                      DEI Meeting – 10/nov/2011
Possible events to study
• The crisis events to analyze may have the following
  characteristics:
        – Recent events from the past two years or less
        – Events from different locations and reach/scope
        – Events with different types based on the EM-DAT classification
          (http://www.emdat.be)




References: http://bit.ly/twtstudy                          DEI Meeting – 10/nov/2011
Practical issues
• Technological
        – Public availability of social network publications
                depends on the site preferences and each account’s settings
        – Time of publications and availability:
                for instance, Twitter search API only allows retrieving recent
                data with a maximum of 3200 tweets


• Resources
        – The coding technique requires multiple coders to code content
          iteratively, comparison of categories and reliability assessment


References: http://bit.ly/twtstudy                                 DEI Meeting – 10/nov/2011
Questions?
                                     Comments?


References: http://bit.ly/twtstudy                DEI Meeting – 10/nov/2011

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Study of Social Network Sites in crises

  • 1. Social Networks during crises: a Study Pablo A. Acuña 10/11/2011 References on these slides: http://bit.ly/twtstudy
  • 2. Objective Analyze the behavior of emergency governmental agencies on social networks in crisis situations Some questions that arise: - Are social networks used in crises? If so, - When are they used? (e.g. Pre-crisis, during crisis or post-crisis) - What kind of information is published? - Is there a communication with other users? If so, - With who? General public and/or other agencies? - Is it a one-way or two-way communication? - Other… References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 3. Possible data • Quantitative: – # of publications – # of retweets, reply/mentions, shares, likes, etc. • Qualitative: – Type of content published – Meta-data of posts (date and time, location, etc.) – Multimedia elements – Communication and interaction with other accounts References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 4. Methodology • Grounded theory: An inductive qualitative research method which starts from a set of data and aims to develop a theory. It consists on an iterative process of data collection and analysis in order to extract a theory [Glasser & Strauss, 1967; Corbin & Strauss, 2008]. – Stages: • Open coding • Development of concepts • Grouping concepts into categories • Formation of a theory • Content analysis: “Any technique for making inferences by objectively and sistematically identifying specified characteristics of messages.” [Holsti, 1969] References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 5. Methodology • Coding Coding is a process to analyze text content that “involves interacting with data, making comparisons between data, and so on, and in doing so, deriving concepts to stand for those data, then developing those concepts in terms of their properties and dimensions” *Corbin et al., 2008]. • Common procedure: – Based on a set of collected data, coding can be a priori or emergent. It usually requires different analysts to code the data (or a subset), compare and consolidate the categories, reliability test on coded data and repetitions of the procedure in order to achieve a reliable analysis. • Similar approaches: – Action-object pairing with coding techniques [Zhang & Jansen, 2008] – Noticing, collecting and thinking [Seidel, 1998] References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 6. Related studies Man-made/technological crises Studies & Events Quant. Qual. Description [Vieweg et al., 2010] Red River Flooding, 2009, USA Qualitative data coding from X both events. Use of E-Data Oklahoma Fires, 2009, USA Viewer for iterations [Starbird & Palen, Red River Flooding, 2009, USA Coding of individual tweets 2010] X X and tweet streams and Oklahoma Fires, 2009, USA analysis of RTs, URLs, etc. [Hughes & Palen, Gustav Hurricane, 2008 Quantitative analysis of # of 2009] tweets, tweets per user, Ike Hurricane, 2008 replies , URLs and new users. X DNC, 2008, USA RNC, 2008, USA [Starbird & Palen, Haiti Earthquake, 2010 A priori coding for analyzing a 2011] X particular category (#TtT) [Caragea et al., 2011] Haiti Earthquake, 2010 Classification by keywords and X machine learning algorithm [Bajpai & Jaiswal, Thailand protests, 2010 Content coding based on 2011] X categories from literature [Vieweg et al., 2008] Virginia Tech Shootings, 2007 X Empirical based on messages [Gaffney, 2010] Iran Elections, 2009 X Quantitative study of twitter References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 7. Related studies (2) Studies & Events Quant. Qual. Description [Mendoza et al., Chile earthquake, 2010 Study of Retweet usage, and 2010] X X empirical analysis of rumors [Borge-Holthoefer et #15m movement, Spain Evolution and popularity of al., 2011] X twitter during #15m [Qu et al., 2011] China earthquake, 2010 X X Distributed coding General studies of social networks during crises situations: *Tapia et al., 2011+ : “Seeking the trustworthy tweet” (short Interviews with organizations name) X to discover mismatchs and future directions [Latonero & Shklovski, 2010+: “Emergency management and Interview with social media social media evangelism” X “innovator” and findings Not related to crises: - “Twitter use by the U.S. Congress” *Golbeck et al., 2009]: Qualitative analysis using coding to categorize congressmen behavior on twitter - “Twitter power: Tweets as Electronic word of mouth” *Jansen et al., 2009]: Qualitative analysis of twitter publications with respect to brands, using a coding technique and an action-object approach References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 8. Ideas & proposal • A multi-step approach consisting on: – Selecting a set of governmental agencies involved in crisis management from different countries and with diverse competences (with accounts on social networking sites) • EMA, OEP, police, national guard, etc. – Data collection using social networks APIs from past events – Iterative open-coding process to define initial categories • Various coders? • A priori coding based on literature (on/off-topic, crises stages, …) – Validation and consolidation of categories • If applies, definition of subcategories and relation of concepts – Perform reliability tests – Repeat the process, use a present or close event to validate coding. References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 9. Possible events to study • The crisis events to analyze may have the following characteristics: – Recent events from the past two years or less – Events from different locations and reach/scope – Events with different types based on the EM-DAT classification (http://www.emdat.be) References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 10. Practical issues • Technological – Public availability of social network publications depends on the site preferences and each account’s settings – Time of publications and availability: for instance, Twitter search API only allows retrieving recent data with a maximum of 3200 tweets • Resources – The coding technique requires multiple coders to code content iteratively, comparison of categories and reliability assessment References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011
  • 11. Questions? Comments? References: http://bit.ly/twtstudy DEI Meeting – 10/nov/2011

Notas do Editor

  1. At theend, I wanttoknowthebehavior and usage of socialnetworks in crisis situationsfromgovernmental agencies in ordertoknowiftheinformationpublishedisusefulfortheconstruction of aninstitutional/collectivememory.