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Influencers! Old is new again
                                     Professor Matthew Kushin, PhD
      Shepherd University | Department of Mass Communication | 2012
I. Media’s limited effects:
“The People’s Choice”
Paul Lazarsfeld

 Studied election campaign of 1940
   Erie County, Ohio

 Field Experiment
   1-time In-person Interview
   Panels
      Repeated interviews May - Nov
Paul Lazarsfeld

 Focus:
   Changes in voting decisions among public
   What causes those changes?
   What’s the media’s role in them?
Lazarsfeld’s 4 Types of changes

 Early Deciders
   Chose a candidate in May & never changed mind.
4 Types of Changes

 Waverers
   Chose 1 candidate then became undecided or switched, but
    came back to initial choice when voting
4 Types of Changes

 Converts
   Chose 1 candidate but switched to vote for opposing candidate
4 Types of Changes

 Crystallizers
    Had no candidate in May but decided by November
      Voting choice was predictable based on characteristics
         Religion
         Where they lived
         Political party affiliation
Hypotheses

 If media has strong effects, Lazarsfeld could hypothesize:
    H1: Most voters will be influenced by media causing them to be
     wavers or converts
    H2: People who changed the most should have been greatest
     users of media
Study’s Findings

 Most people never changed opinions
   Early Deciders & Crystalizers

 Those who changed their minds were not influenced by
  media
   Low media use
   Report being influenced by others
Study’s Conclusion

 Media’s main role:
   Reinforce a voter’s candidate choice
   Activate predispositions
      Party loyalties, political ideologies, religious affiliations
What is the possible connection here?

 Heavy media users tended to be:
   Early-deciders

 Light media users
   Heavily reliant on others for information
   Late deciders or converts
Connection

 Hypothesized:
   Maybe the heavy users are the same people who the more
     apathetic voters relied on
      These heavy users may be knowledgeable & respected people the
         apathetic voter looks up to
   Rather than being influenced by media, the heavy user gains
     knowledge as ammunition to:
        back up their own opinion
      Influence others
II. Two-Step Flow
Two-Step Flow

 Messages pass from media to leaders.

 From leaders to many followers.




                            Opinion       Opinion
                            Leaders      Followers
Two Step Flow

 Opinion leaders and followers are alike in their social status

 Opinion leaders – more socially active, greater media
   users, gregarious
Influencers: “Brand Evangelists”

 Not everyone on social media is equal in terms of influence
Two Step

                                        This Idea?
                                        Not New!




           Opinion Leaders




Opinion                      Opinion
               Opinion
Follower                     Follower
               Follower
Diffusion of Innovation

   Like the 2-step flow
       Mass Media – Primary role to create awareness and knowledge about
        innovation


       Interpersonal networks –Decision to adopt is highly influenced by
        discussion w/ peers who already adopted or rejected innovation.
Diffusion

 Asks:

 Why do some new ideas become adopted and others don’t?
Diffusion

 Focus:
   How new information becomes widely adopted

 States:
   New ideas pass through a set of predictable stages
Diffusion Stages

 Media makes people aware of new idea

 Early adopters adopt innovation

 Early adopters influence opinion leaders who adopt
  innovation

 Opinion leaders influence opinion followers

 Almost everyone has adopted
   Some people lag behind
5 Adopter Types

 Classification of individuals by rate of adoption:
    Innovators – venturesome; eager to try new ideas
    Early adopters – respectable localites; high degree of opinion
     leadership within social system
    Early majority – interact frequently w/ peers but seldom hold
     leadership positions
       (Cont’d next slide)
 Late majority – skeptical; often adopt because of economic
  need or pressure from others
 Laggards – Resist/reject. Oriented to past & tradition.
Typical Adopter Curve
Diffusion over Time




Innovation
 take-off
Change Agents

 professional who attempts to influence adoption decisions in
  a direction he/she feels desirable

 Influences:
   Early adopters
   Opinion leaders



 PR folks are 1 type of change
  agent
“Birds of a feather”

 Degree to which pairs of individuals who interact are:

 Homophily - similar in certain attributes
    High homophily b/w opinion leader & followers

 Heterophily –different
    High heterophily between change agent and potential adopters
Path

 Change agents:
   Often use local opinion leaders to assist in diffusion:
      to bridge heterophily gap
      using opinion leaders wide influence over others

                         Change Agent or
                           Mass Media

          heterophily

                          Opinion Leader
    homophily
               Like-                             Like-
                              Like-
              minded                            minded
                             minded
              Follower                          Follower
                             Follower
Digital Influence
What’s your score?

 If you have a Klout, Kred, or PeerIndex score – load it up so
   we can see it!



 If you don’t:
    Goto: Tweetreach.com and type in your address.
What is digital influence?

 1. Reach: The number of followers online

 2. Voice: Number of posts in a given time period

 3. Calculated as a score, such as on Klout.com

 4. Number of interactions with others on social media.

 5. Something immeasurable.
Influence?

 What did you find?

 What does it mean?
   If you don’t know – take a minute and see if you can find
     information on how the score is calculated or what the statistic
     on tweetreach.com means.
Kred’s ‘algorithm’
 “Every person or account on Twitter has a Kred score, which is
   made up of two parts: the influence score and the outreach score.
   Your influence score is a measure of your ability to inspire others. It
   is a number on a scale from 1 to 1,000, and is based on how often
   your tweets are retweeted, how many new followers you are
   gaining, and how many replies you generate. (Kred also looks at
   Facebook likes and Google +1s, but Twitter is the main source of
   data). It is very much like your Klout score. The Outreach score is
   measured in levels and is a reflection of how generous you are with
   retweeting and replying to others.
 Kred also figures out which of 200 communities you belong to
   based on the information in your Twitter bio (which is not always a
   great description of who you are). It can show you the influence of
   your whole community and how you rank in that community”
Can digital influence be scored?

 Brian Solis states “Influence is not popularity and popularity is
   not influence.”

 Sites like “Klout” are controversial.

 People game these sites to increase their scores.

 PR people chase false influencers, wasting time!
Digital Diffusion

 Innovations diffuse in our highly networked world today via
  social media.

 Problem:
   How influence occurs through these online channels is debated,
     often unknown, and people are trying to make $ selling a
     ‘formula’ it to us 
Looking Forward

 Next class we’ll start looking at digital influence

 How to find influencers (if its possible!)

 And explore what to do once we find them!

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Social Influence: From the Two-step flow of communication to digital influence

  • 1. Influencers! Old is new again Professor Matthew Kushin, PhD Shepherd University | Department of Mass Communication | 2012
  • 2. I. Media’s limited effects: “The People’s Choice”
  • 3. Paul Lazarsfeld  Studied election campaign of 1940  Erie County, Ohio  Field Experiment  1-time In-person Interview  Panels  Repeated interviews May - Nov
  • 4. Paul Lazarsfeld  Focus:  Changes in voting decisions among public  What causes those changes?  What’s the media’s role in them?
  • 5. Lazarsfeld’s 4 Types of changes  Early Deciders  Chose a candidate in May & never changed mind.
  • 6. 4 Types of Changes  Waverers  Chose 1 candidate then became undecided or switched, but came back to initial choice when voting
  • 7. 4 Types of Changes  Converts  Chose 1 candidate but switched to vote for opposing candidate
  • 8. 4 Types of Changes  Crystallizers  Had no candidate in May but decided by November  Voting choice was predictable based on characteristics  Religion  Where they lived  Political party affiliation
  • 9. Hypotheses  If media has strong effects, Lazarsfeld could hypothesize:  H1: Most voters will be influenced by media causing them to be wavers or converts  H2: People who changed the most should have been greatest users of media
  • 10. Study’s Findings  Most people never changed opinions  Early Deciders & Crystalizers  Those who changed their minds were not influenced by media  Low media use  Report being influenced by others
  • 11. Study’s Conclusion  Media’s main role:  Reinforce a voter’s candidate choice  Activate predispositions  Party loyalties, political ideologies, religious affiliations
  • 12. What is the possible connection here?  Heavy media users tended to be:  Early-deciders  Light media users  Heavily reliant on others for information  Late deciders or converts
  • 13. Connection  Hypothesized:  Maybe the heavy users are the same people who the more apathetic voters relied on  These heavy users may be knowledgeable & respected people the apathetic voter looks up to  Rather than being influenced by media, the heavy user gains knowledge as ammunition to:  back up their own opinion  Influence others
  • 15. Two-Step Flow  Messages pass from media to leaders.  From leaders to many followers. Opinion Opinion Leaders Followers
  • 16. Two Step Flow  Opinion leaders and followers are alike in their social status  Opinion leaders – more socially active, greater media users, gregarious
  • 17. Influencers: “Brand Evangelists”  Not everyone on social media is equal in terms of influence
  • 18. Two Step This Idea? Not New! Opinion Leaders Opinion Opinion Opinion Follower Follower Follower
  • 19. Diffusion of Innovation  Like the 2-step flow  Mass Media – Primary role to create awareness and knowledge about innovation  Interpersonal networks –Decision to adopt is highly influenced by discussion w/ peers who already adopted or rejected innovation.
  • 20. Diffusion  Asks:  Why do some new ideas become adopted and others don’t?
  • 21. Diffusion  Focus:  How new information becomes widely adopted  States:  New ideas pass through a set of predictable stages
  • 22. Diffusion Stages  Media makes people aware of new idea  Early adopters adopt innovation  Early adopters influence opinion leaders who adopt innovation  Opinion leaders influence opinion followers  Almost everyone has adopted  Some people lag behind
  • 23. 5 Adopter Types  Classification of individuals by rate of adoption:  Innovators – venturesome; eager to try new ideas  Early adopters – respectable localites; high degree of opinion leadership within social system  Early majority – interact frequently w/ peers but seldom hold leadership positions  (Cont’d next slide)
  • 24.  Late majority – skeptical; often adopt because of economic need or pressure from others  Laggards – Resist/reject. Oriented to past & tradition.
  • 27. Change Agents  professional who attempts to influence adoption decisions in a direction he/she feels desirable  Influences:  Early adopters  Opinion leaders  PR folks are 1 type of change agent
  • 28. “Birds of a feather”  Degree to which pairs of individuals who interact are:  Homophily - similar in certain attributes  High homophily b/w opinion leader & followers  Heterophily –different  High heterophily between change agent and potential adopters
  • 29. Path  Change agents:  Often use local opinion leaders to assist in diffusion:  to bridge heterophily gap  using opinion leaders wide influence over others Change Agent or Mass Media heterophily Opinion Leader homophily Like- Like- Like- minded minded minded Follower Follower Follower
  • 31. What’s your score?  If you have a Klout, Kred, or PeerIndex score – load it up so we can see it!  If you don’t:  Goto: Tweetreach.com and type in your address.
  • 32. What is digital influence?  1. Reach: The number of followers online  2. Voice: Number of posts in a given time period  3. Calculated as a score, such as on Klout.com  4. Number of interactions with others on social media.  5. Something immeasurable.
  • 33. Influence?  What did you find?  What does it mean?  If you don’t know – take a minute and see if you can find information on how the score is calculated or what the statistic on tweetreach.com means.
  • 34. Kred’s ‘algorithm’  “Every person or account on Twitter has a Kred score, which is made up of two parts: the influence score and the outreach score. Your influence score is a measure of your ability to inspire others. It is a number on a scale from 1 to 1,000, and is based on how often your tweets are retweeted, how many new followers you are gaining, and how many replies you generate. (Kred also looks at Facebook likes and Google +1s, but Twitter is the main source of data). It is very much like your Klout score. The Outreach score is measured in levels and is a reflection of how generous you are with retweeting and replying to others.  Kred also figures out which of 200 communities you belong to based on the information in your Twitter bio (which is not always a great description of who you are). It can show you the influence of your whole community and how you rank in that community”
  • 35. Can digital influence be scored?  Brian Solis states “Influence is not popularity and popularity is not influence.”  Sites like “Klout” are controversial.  People game these sites to increase their scores.  PR people chase false influencers, wasting time!
  • 36. Digital Diffusion  Innovations diffuse in our highly networked world today via social media.  Problem:  How influence occurs through these online channels is debated, often unknown, and people are trying to make $ selling a ‘formula’ it to us 
  • 37. Looking Forward  Next class we’ll start looking at digital influence  How to find influencers (if its possible!)  And explore what to do once we find them!

Editor's Notes

  • #4: Chose Erie County because they thought it was representative of the US pInterviews hit 1 of every 3 homes in the county
  • #10: Will be waverers or converts because:Exposure to 1 message will influence voter in 1 direction.Exposure to opposite message will sway voter back.
  • #11: So, strong media influence was indeed not the case!
  • #16: Studied housewives use of various products, and how they decided what products to consumeDecatur, Illinois
  • #18: If this person talks about our product, they have higher:CredibilityMore likely to influence.So we may want to target them!
  • #19: Change agents (like PR professionals) & the mediaChange agentprofessional who attempts to influence adoption decisions in a direction he/she feels desirableInfluences:Early adoptersOpinion leaders
  • #41: Trialability & Observability very importantGives us need for opinion leaders and change agents to introduce us.