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DIVERSITY RECRUITING AND THE SOCIAL
              GRAPH
     Ananda Chakravarty
         March 2012
  HR/Benefits Sector Meeting
          Dallas, TX
• Social Networking (Soh-shuhl Net-wur-king) n.
  Engagement with a community of shared
  interest


• This really isn‟t new…
NO OFFENSE TO AUSSIES…




         VIDEO – Foster Miller Beer Commercial –
         Social Networking
Social Recruiting (Soh-shuhl ri-kroot-ing) n. To
engage in finding and attracting employees, new
members, students, athletes, etc. specifically through
social media or social networking sites online.


Also not new…
SOCIAL RECRUITING – FRIENDS?




            VIDEO – 2008 IBM 826 Friends Commercial –
            Social Recruiting
So what IS new? What’s changed?

  Offline to Online
  Recruitment and Sourcing
  Information
  Job Seekers and Diversity
  Experiences
Offline to Online?
Medium
Adoption
Distribution
Recruitment and Sourcing Information
  Accessible
  Searchable
  Messy - Incomplete, inconsistent, and
  multisourced
Job Seekers & Diversity Experiences
 Previously unknown connections are known
 Establishing connectivity is instant
 Connections are typically weaker
THE ONLINE EXPERIENCE…IS DIFFERENT




         VIDEO – Daily Beast, Parody of Online-Offline
         experience on social media networks
SOCIAL NETWORKING
  The Strength of Weak Ties - Mark Granovetter (Stanford Sociology Prof., 1974)
      Weak ties are more effective than strong ones in finding a job
      Strong ties already saturate and overlap individual‟s other strong ties
      Weak ties expand the network to new networks through key nodes
      Groups usually tie together based on a small set of interests (even a single interest)
      Social capital is key, and the driver is Trust
  Minorities have their own groups and „shared interest‟ is their culture




You’re only as strong as your weakest link!
THE SOCIAL GRAPH
COMPLEXITY – VISUALIZATION…
THE DIVERSITY DEMOGRAPHIC
ONLINE STATISTICS ON THE DIVERSE WORKFORCE AND COMMUNITY
                        US Population                                                                 US Labor Force
   4.71%                14.18%                                                    4.71%               14.78%

       12.07%                                                                        11.61%
                             White                                                                     White
                             Black                                                                     Black
                                                 80.76%                                                                81.28%
                             Asian                                                                     Asian
                             Hispanic                                                                  Hispanic




           % Online - United States by                                             % Wireless Usage - United States by
                 Race/Ethnicity                                                              Race/Ethnicity
                                            85%           83%
 76%                                                                                                                       62%
                70%
                             64%                                                                               59%


                                                                                     52%



 White          Black       Hispanic    Hispanic Native   Asian
                                             Born                                    White                     Black      Hispanic

1. 2012 Bureau of Labor Statistics, US Department of Labor, CPS and Pew Hispanic Internet Data 2011
CHALLENGES FOR DIVERSITY ONLINE
•   Identification
    Self defined (non-obvious)
    Candidates don‟t associate with their classification
    Multi-racial, Multi-ethnic, challenging for accurate segmentation
    Limited data collection
    Photos common and automatically discriminates, style over substance


                     Yes, that‟s a PhD, do
                      you people just not
                            get it?!
CHALLENGES FOR DIVERSITY ONLINE
•   Qualification
    Self-identified (as in a resume)
    Social media groups are easy to join/unjoin, small number of members participate regularly
    ALL online recommendations at a personal level are positive (different for corporate), does
    not qualify candidates (except maybe for Biz Dev/Sales)
    Education and work experience details collected may be across long periods of time or not
    collected (e.g. FB, Google+, etc.)
    Inherent discrimination through data collection of:
      Older people
      Less active users of social media, again style over substance
    Privacy constraints are recent, impacts qualification
    Metrics are not easily available across the key hiring factors:
      Quality of Hire
      Time to Fill
      Cost of Hire
THE DYNAMIC SOCIAL GRAPH & TIMELINE




A long time ago…, well…less than 20 years...an internet eternity



                                                                       The World Wide Web is
                                             2.3B Users                launched, W3C Consortium
                                                                       formed for the internet
1. March 2012 compilation: Sources: Wikipedia, Facebook.com, YouTube.com, Twitter.com, Quantcast, Alexa
White Black Asian Latino Other Age >44 Male Female
75%
                            43%
                                  53% 47%
                                              18.5MM UV             Trend of Print to Digital
      10%   6%   8%    1%                     2.2MM Users           becomes pronounced
                                              0.01MM UV
78%
                                        57%                         First Professional
                            37% 43%
      12%   3%   5%    1%
                                              0.5MM Users           Networking Site


                                              0.1MM UV              Reached user base of
                                              8.2MM Users           115MM users globally

79%
                            37%
                                  51% 49%     121MM UV              27% of users earn six
      6%    5%   8%    1%                     150MM Users           figure salaries
62%                                     56%
                                  44%
                                              13MM UV               Valued at $12B, sold
                 19%
      14%
            4%         1%
                            13%
                                                                    for $35MM

73%
                                  46% 54%
                                              139MM UV
      13%                   18%               850MM Users           6.3MM sites link to FB
            5%   7%    1%


57%                               49% 51%
                                              16MM UV               Largest socnet site
      30%
                 9%
                            26%
                                              100MM Users           reaching African
            2%         2%
                                                                    Americans
59%
                                  45%
                                        55%
                                              17.5MM UV             Rejected Google buyout
                            28%
      10% 15% 15%
                       1%                                           for $900MM
White Black Asian Latino Other Age >44 Male Female

                                                                           4B Videos streamed
63%                               50% 50%
                                              160MM UV
      14% 7% 16%
                    22%                                                    daily
                 1%


68%                                                                        Accessed regularly in
                                  47% 53%
                            25%               22MM UV                      12 languages
      12% 6% 14%
                 1%

74%
                                        55%
                                  45%
                            27%               59MM UV in US Largest Q&A Site
      10% 5% 10% 2%
                                              100MM UV Total today - crowdsourcing
67%                                     55%
                                  45%
                            22%
                                              90.1MM UV                    30MM tweets daily
      17%
            3%
                 12%
                       1%                     300MM Users

67%                                     55%
                            31%
                                  45%
                                                                           Breaks out FB’s social
      17%
            4% 11% 1%                                                      into professional and
                                                                           social
                                              3.2MM UV                     Fastest site to break
                                              12MM Users                   10MM Uvs < 5 months

                                              4.9MM UV
72%
                                  50% 50%
                                                                           High Growth rate,
                            27%               100MM Users
      10% 5% 11% 1%                                                        100MM in 6 months
                                              185MM UV on
                                              Google
THE SOCIAL GRAPH – DIVERSITY NICHE
NOTE: THIS IS NOT ALL INCLUSIVE, BUT CONTAINS KEY RECRUITING FO CUSED SOCIAL NETWORKING PLAYERS



                                      1MM+ Hispanic/Latino Professional Users


                                      105 Historically Black Colleges & Universities Linked

                                      Over 22MM Registered Users (primarily African
                                      American)



                                      Deep connections to the US Wounded Warrior
                                      Programs and Hire a Hero programs


                                      16MM+ Uvs, largest US Based exclusively
                                      Hispanic/Latino Ad Network



                                      Recently launched African American professionals
                                      site
SOCIAL MEDIA EXPERTS




 < 6 years Social Media expertise really starts around 2006
 < 4 years Solid business models for Social media have been around
 since 2008
 < 2 years Effective social recruiting has been around since 2010
1. Dilbert.com Cartoon - courtesy use only.
RECRUITING EXPERTISE IN SOCIAL MEDIA
•      Some concerns to keep in mind:
         Almost 70% of members in a social media group are Inactive
         FB Usage is typically strongest across personal networks –
         friends and relatives – not professional
         Recruiting, Social presence, Branding online has enormous
         costs in Time & $$
         Certain jobs are not suitable for social media
         High volatility of sites - fast up, fast down – e.g. Myspace
         Mobile technology is coming and may overwhelm online social
         networking – esp. in diversity
         Certain sites are more in tune with specific groups, targeting
         is critical
         Exclusivity on sites (or positions) can be characterized as
         discriminatory and non-compliant
         Over 23,000 currently open job positions with “Social Media”
         in the title – low-balling this at $50k , these jobs are valued at
         $1.1B annually 1.
    1. March 2012 statistical snapshot Indeed.com, Monster.com
EMPLOYMENT BRANDING IS THE BUSINESS
SOCIAL MEDIA FOR DIVERSITY
Employment branding is the key asset opportunity for Social Media
Diverse communities have just begun the process on the social networks
Focus on where the diverse community works and plays, don‟t drive them to you (but
let them if they want)
Broadcasting will be hit or miss
Agencies rely on Comscore/Quantcast ratings, which have poor correlation with high
diverse traffic sites – Non-diversity sites are relative, and diversity site data are
wrong.
Diversity Branding must be FACT to successfully build brand presence
  Functional, Authentic, Collaborative, Targeted
THANK YOU!


@achakravarty
http://www.linkedin.com/in/anandachakravarty
Views presented are those of the author only and do not reflect the position or
views of any organization . This document‟s sole purpose is educational.

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Diversity Recruiting Social Graph.V6

  • 1. DIVERSITY RECRUITING AND THE SOCIAL GRAPH Ananda Chakravarty March 2012 HR/Benefits Sector Meeting Dallas, TX
  • 2. • Social Networking (Soh-shuhl Net-wur-king) n. Engagement with a community of shared interest • This really isn‟t new…
  • 3. NO OFFENSE TO AUSSIES… VIDEO – Foster Miller Beer Commercial – Social Networking
  • 4. Social Recruiting (Soh-shuhl ri-kroot-ing) n. To engage in finding and attracting employees, new members, students, athletes, etc. specifically through social media or social networking sites online. Also not new…
  • 5. SOCIAL RECRUITING – FRIENDS? VIDEO – 2008 IBM 826 Friends Commercial – Social Recruiting
  • 6. So what IS new? What’s changed? Offline to Online Recruitment and Sourcing Information Job Seekers and Diversity Experiences
  • 8. Recruitment and Sourcing Information Accessible Searchable Messy - Incomplete, inconsistent, and multisourced
  • 9. Job Seekers & Diversity Experiences Previously unknown connections are known Establishing connectivity is instant Connections are typically weaker
  • 10. THE ONLINE EXPERIENCE…IS DIFFERENT VIDEO – Daily Beast, Parody of Online-Offline experience on social media networks
  • 11. SOCIAL NETWORKING The Strength of Weak Ties - Mark Granovetter (Stanford Sociology Prof., 1974) Weak ties are more effective than strong ones in finding a job Strong ties already saturate and overlap individual‟s other strong ties Weak ties expand the network to new networks through key nodes Groups usually tie together based on a small set of interests (even a single interest) Social capital is key, and the driver is Trust Minorities have their own groups and „shared interest‟ is their culture You’re only as strong as your weakest link!
  • 14. THE DIVERSITY DEMOGRAPHIC ONLINE STATISTICS ON THE DIVERSE WORKFORCE AND COMMUNITY US Population US Labor Force 4.71% 14.18% 4.71% 14.78% 12.07% 11.61% White White Black Black 80.76% 81.28% Asian Asian Hispanic Hispanic % Online - United States by % Wireless Usage - United States by Race/Ethnicity Race/Ethnicity 85% 83% 76% 62% 70% 64% 59% 52% White Black Hispanic Hispanic Native Asian Born White Black Hispanic 1. 2012 Bureau of Labor Statistics, US Department of Labor, CPS and Pew Hispanic Internet Data 2011
  • 15. CHALLENGES FOR DIVERSITY ONLINE • Identification Self defined (non-obvious) Candidates don‟t associate with their classification Multi-racial, Multi-ethnic, challenging for accurate segmentation Limited data collection Photos common and automatically discriminates, style over substance Yes, that‟s a PhD, do you people just not get it?!
  • 16. CHALLENGES FOR DIVERSITY ONLINE • Qualification Self-identified (as in a resume) Social media groups are easy to join/unjoin, small number of members participate regularly ALL online recommendations at a personal level are positive (different for corporate), does not qualify candidates (except maybe for Biz Dev/Sales) Education and work experience details collected may be across long periods of time or not collected (e.g. FB, Google+, etc.) Inherent discrimination through data collection of: Older people Less active users of social media, again style over substance Privacy constraints are recent, impacts qualification Metrics are not easily available across the key hiring factors: Quality of Hire Time to Fill Cost of Hire
  • 17. THE DYNAMIC SOCIAL GRAPH & TIMELINE A long time ago…, well…less than 20 years...an internet eternity The World Wide Web is 2.3B Users launched, W3C Consortium formed for the internet 1. March 2012 compilation: Sources: Wikipedia, Facebook.com, YouTube.com, Twitter.com, Quantcast, Alexa
  • 18. White Black Asian Latino Other Age >44 Male Female 75% 43% 53% 47% 18.5MM UV Trend of Print to Digital 10% 6% 8% 1% 2.2MM Users becomes pronounced 0.01MM UV 78% 57% First Professional 37% 43% 12% 3% 5% 1% 0.5MM Users Networking Site 0.1MM UV Reached user base of 8.2MM Users 115MM users globally 79% 37% 51% 49% 121MM UV 27% of users earn six 6% 5% 8% 1% 150MM Users figure salaries 62% 56% 44% 13MM UV Valued at $12B, sold 19% 14% 4% 1% 13% for $35MM 73% 46% 54% 139MM UV 13% 18% 850MM Users 6.3MM sites link to FB 5% 7% 1% 57% 49% 51% 16MM UV Largest socnet site 30% 9% 26% 100MM Users reaching African 2% 2% Americans 59% 45% 55% 17.5MM UV Rejected Google buyout 28% 10% 15% 15% 1% for $900MM
  • 19. White Black Asian Latino Other Age >44 Male Female 4B Videos streamed 63% 50% 50% 160MM UV 14% 7% 16% 22% daily 1% 68% Accessed regularly in 47% 53% 25% 22MM UV 12 languages 12% 6% 14% 1% 74% 55% 45% 27% 59MM UV in US Largest Q&A Site 10% 5% 10% 2% 100MM UV Total today - crowdsourcing 67% 55% 45% 22% 90.1MM UV 30MM tweets daily 17% 3% 12% 1% 300MM Users 67% 55% 31% 45% Breaks out FB’s social 17% 4% 11% 1% into professional and social 3.2MM UV Fastest site to break 12MM Users 10MM Uvs < 5 months 4.9MM UV 72% 50% 50% High Growth rate, 27% 100MM Users 10% 5% 11% 1% 100MM in 6 months 185MM UV on Google
  • 20. THE SOCIAL GRAPH – DIVERSITY NICHE NOTE: THIS IS NOT ALL INCLUSIVE, BUT CONTAINS KEY RECRUITING FO CUSED SOCIAL NETWORKING PLAYERS 1MM+ Hispanic/Latino Professional Users 105 Historically Black Colleges & Universities Linked Over 22MM Registered Users (primarily African American) Deep connections to the US Wounded Warrior Programs and Hire a Hero programs 16MM+ Uvs, largest US Based exclusively Hispanic/Latino Ad Network Recently launched African American professionals site
  • 21. SOCIAL MEDIA EXPERTS < 6 years Social Media expertise really starts around 2006 < 4 years Solid business models for Social media have been around since 2008 < 2 years Effective social recruiting has been around since 2010 1. Dilbert.com Cartoon - courtesy use only.
  • 22. RECRUITING EXPERTISE IN SOCIAL MEDIA • Some concerns to keep in mind: Almost 70% of members in a social media group are Inactive FB Usage is typically strongest across personal networks – friends and relatives – not professional Recruiting, Social presence, Branding online has enormous costs in Time & $$ Certain jobs are not suitable for social media High volatility of sites - fast up, fast down – e.g. Myspace Mobile technology is coming and may overwhelm online social networking – esp. in diversity Certain sites are more in tune with specific groups, targeting is critical Exclusivity on sites (or positions) can be characterized as discriminatory and non-compliant Over 23,000 currently open job positions with “Social Media” in the title – low-balling this at $50k , these jobs are valued at $1.1B annually 1. 1. March 2012 statistical snapshot Indeed.com, Monster.com
  • 23. EMPLOYMENT BRANDING IS THE BUSINESS SOCIAL MEDIA FOR DIVERSITY Employment branding is the key asset opportunity for Social Media Diverse communities have just begun the process on the social networks Focus on where the diverse community works and plays, don‟t drive them to you (but let them if they want) Broadcasting will be hit or miss Agencies rely on Comscore/Quantcast ratings, which have poor correlation with high diverse traffic sites – Non-diversity sites are relative, and diversity site data are wrong. Diversity Branding must be FACT to successfully build brand presence Functional, Authentic, Collaborative, Targeted
  • 24. THANK YOU! @achakravarty http://www.linkedin.com/in/anandachakravarty Views presented are those of the author only and do not reflect the position or views of any organization . This document‟s sole purpose is educational.

Editor's Notes

  1. Medium – Electronic and automatically integrated across devicesAdoption – 850 MM on FacebookDistribution – Broadcasting can now be done by anyone (YouTube, Blogs, Podcasts)
  2. Medium – Electronic and automatically integrated across devicesAdoption – 850 MM on FacebookDistribution – Broadcasting can now be done by anyone (YouTube, Blogs, Podcasts)
  3. Medium – Electronic and automatically integrated across devices, portable, mobileAdoption – 850 MM on FacebookDistribution – Broadcasting can now be done by anyone (YouTube, Blogs, Podcasts)
  4. Accessible – Data on a person and their history is available everywhere, captured in every keystroke onlineSearchable – Technology enables us to sort, search, and find specific pieces of information related to individuals.Messy – However, much of the data is not curated, remains inconsistent from person to person, and is pulled from many different places
  5. Medium – Electronic and automatically integrated across devicesAdoption – 850 MM on FacebookDistribution – Broadcasting can now be done by anyone (YouTube, Blogs, Podcasts)
  6. Fixed ‘interest’ that is unmalleable
  7. Jobs not suitable for SocMed large scale hiring can become extremely costly – quickly. The higher up you go, the more valuable it becomes