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When	
  Usability	
  Meets	
  Social	
  Media
Strengthen	
  Your	
  Connections	
  with	
  Users
Yoo	
  Young	
  Lee
Digital	
  User	
  Experience	
  Librarian
Liaison	
  Librarian	
  to	
  the	
  School	
  of	
  Health	
  
and	
  Rehabilitation	
  Sciences
Willie	
  Miller
Liaison	
  Librarian	
  to	
  the	
  School	
  of	
  
Informatics	
  and	
  the	
  Department	
  of	
  
Journalism	
  and	
  Public	
  Relations
Indiana	
  University	
  Purdue	
  University	
  Indianapolis
Outline
01.	
  Background	
  @	
  IUPUI	
  UL
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
03.	
  Data	
  Analysis
04.	
  Lessons	
  Learned
05.	
  Tools
01.	
  Background	
  @	
  IUPUI	
  UL
IUPUI	
  University	
  Library
Campus	
  Outreach	
  Group	
  (COG)
01.	
  Background	
  @	
  IUPUI	
  UL
Social	
  Media	
  People
Willie	
  Miller Yoo	
  Young	
  Lee Taylor	
  Leonard Alicia	
  Añino Jenny	
  Johnson
Chair UX External	
  
Relations
Admin. Digital	
  
Scholarship
01.	
  Background	
  @	
  IUPUI	
  UL
History
2009
Social	
  Media	
  Presence
2009-­‐2013
Increase	
  Fans	
  and	
  Followers
2014
Instagram
2015
Content	
  Engagement
Facebook:	
  2,252 Fans
Twitter:	
  1,674 Followers
Instagram:	
  262 FollowersWe	
  started	
  Facebook
and	
  Twitter!
Focused	
  on	
  Boosting	
  
Content	
  Engagement
01.	
  Background	
  @	
  IUPUI	
  UL
Content	
  Engagement
“Real	
  people	
  responding	
  in	
  measurable	
  ways	
  to	
  your	
  content…”
-­‐ Neil	
  Patel
01.	
  Background	
  @	
  IUPUI	
  UL
Content	
  Engagement:	
  Key	
  Objectives
“Real	
  people	
  responding	
  
in	
  measurable	
  ways	
  to	
  
your	
  content…”
-­‐ Neil	
  Patel
Real	
  People
Measurable
Content
IUPUI	
  Community
• Students
• Faculty
• Staff
• Indy	
  residents
• Researchers
What	
  we	
  care:
• Increase	
  page	
  views
• Boost	
  awareness
• Encourage	
  audience	
  
interactions
Be	
  valuable
• Information
• Assistance
• Entertainment
01.	
  Background	
  @	
  IUPUI	
  UL
Social	
  Media	
  User	
  Experience
Measure
Analyze
Modify
Improve
Check	
  current	
  practices	
  
and	
  gather	
  data
Investigate	
  current	
  
practices	
  based	
  on	
  data
Change	
  social	
  media	
  
practices	
  based	
  on	
  analysis
People	
  like	
  and	
  follow	
  us	
  
more	
  than	
  ever!
01.	
  Background	
  @	
  IUPUI	
  UL
Key	
  Goals
1 Post	
  Often,	
  Schedule	
  and	
  Spread	
  Out
2 Cross-­‐Post
3 Content	
  Diversification
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
1 Post	
  Often,	
  Schedule	
  and	
  Spread	
  Out
0
5
10
15
20
25
30
Jan Feb Mar Apr May June July Aug Sept Oct
Facebook Twitter Instagram
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
1 Post	
  Often,	
  Schedule	
  and	
  Spread	
  Out
12	
  Posts
16	
  Posts
7	
  Posts
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
Events:	
  42	
  Unique	
  Posts
News:	
  34	
  Unique	
  Posts
Miscellaneous:	
  28	
  Unique	
  Posts
Tips:	
  20	
  Unique	
  Posts
Throwback	
  Thursday	
  (TBD):	
  13	
  Unique	
  Posts
Events
31%
News
25%
Misc.
20%
Tips
15%
TBD
9%
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
#Events:	
  Pass	
  the	
  Jag
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
#Events:	
  I	
  Heart	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
#Events:	
  Earth	
  Day
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
#Events:	
  Up	
  Late
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
#Events:	
  Welcome	
  Week	
  -­‐ JagSwag
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
#Events:	
  Regatta
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
#Events:	
  Surprising	
  3D	
  Jag
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
#Events:	
  Open	
  Access	
  Week
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
#News:	
  Book	
  Club
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
#News:	
  Sculpture
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
#News:	
  New	
  Website
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
#News:	
  Indy	
  Recorder	
  Award
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
#Miscellaneous
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
#Tips
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
#Library	
  Tips
02.	
  Social	
  Media	
  (2015)	
  @	
  IUPUI	
  UL
2/3 Content	
  Diversification	
  across	
  our	
  Social	
  Media
#Throwback	
  Thursday
03.	
  Data	
  Analysis
Q.	
  Reach/Impression
5165
238
0 1000 2000 3000 4000 5000 6000
Instagram
Twitter
Facebook
N/A
157
82
Fan Non	
  fan
Our	
  fans:	
  2,252
Our	
  Followers:	
  1,674	
  
03.	
  Data	
  Analysis
Q.	
  Engagement
4%
1%
16%
0% 2% 4% 6% 8% 10% 12% 14% 16% 18%
Instagram
Twitter
Facebook
03.	
  Data	
  Analysis
Q.	
  Which	
  content	
  most	
  reached?
1 Misc.	
  Shared	
  Content
2 TBT
1,130 878
03.	
  Data	
  Analysis
Q.	
  Which	
  content	
  most	
  reached?
3 Misc.	
  Shared	
  Content 4 Misc.	
  Shared	
  Content
5 Library	
  Tips
846 804
739
03.	
  Data	
  Analysis
Q.	
  Reach	
  on	
  Average
0
100
200
300
400
500
600
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
03.	
  Data	
  Analysis
Q.	
  Which	
  content	
  most	
  reached?
1 Library	
  Tips
2 Events
32,055
18,560
03.	
  Data	
  Analysis
Q.	
  Which	
  content	
  most	
  reached?
3 Events 4 Events
5 Events
14,095
12,193
11,792
03.	
  Data	
  Analysis
Q.	
  Impression	
  on	
  Average
0
2000
4000
6000
8000
10000
12000
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
03.	
  Data	
  Analysis
1 Events 2 Events
Q.	
  Which	
  content	
  got	
  most	
  user	
  engagement?
608 352
03.	
  Data	
  Analysis
3 Misc.	
  Shared	
  Content 4 Events
TBD
Q.	
  Which	
  content	
  got	
  most	
  user	
  engagement?
5
187
170
128
03.	
  Data	
  Analysis
Q.	
  Engagement
0
20
40
60
80
100
120
140
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
03.	
  Data	
  Analysis
1 Events
2 Events
390 294
Q.	
  Which	
  content	
  got	
  most	
  user	
  engagement?
03.	
  Data	
  Analysis
3 Library	
  Tips 4 Library	
  Tips Misc.
82
78
72
Q.	
  Which	
  content	
  got	
  most	
  user	
  engagement?
5
03.	
  Data	
  Analysis
Q.	
  Engagement
0
10
20
30
40
50
60
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
03.	
  Data	
  Analysis
1 Misc.
2 Events
34 23
Q.	
  Which	
  content	
  got	
  most	
  user	
  engagement?
03.	
  Data	
  Analysis
3 TBD 4 Misc. TBD
21 21 20
Q.	
  Which	
  content	
  got	
  most	
  user	
  engagement?
5
03.	
  Data	
  Analysis
Q.	
  Engagement
0
2
4
6
8
10
12
14
16
18
Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
03.	
  Data	
  Analysis
Q.	
  Automatic	
  post	
  
0
2000
4000
6000
8000
10000
12000
14000
16000
Direct Automatic
0
10
20
30
40
50
60
70
80
Direct Automatic
Exclude	
  one	
  outlier	
  (294)
Reach User	
  Engagement
03.	
  Data	
  Analysis
Q.	
  Automatic	
  post	
  
Reach User	
  Engagement
t-­‐Test:	
  Two-­‐Sample	
  Assuming	
  Equal	
  Variances Direct Automatic
Mean 6128.71 5742.32
Variance 11258622.95 8260330.74
Observations 28.00 28.00
Pooled	
  Variance 9759476.85
Hypothesized	
  Mean	
  Difference 0.00
df 54.00
t	
  Stat 0.46
P(T<=t)	
  one-­‐tail 0.32
t	
  Critical	
  one-­‐tail 1.67
P(T<=t)	
  two-­‐tail 0.65
t	
  Critical	
  two-­‐tail 2.00
t-­‐Test:	
  Two-­‐Sample	
  Assuming	
  Equal	
  Variances Direct Automatic
Mean 15.70 2.37
Variance 258.14 4.24
Observations 27.00 27.00
Pooled	
  Variance 131.19
Hypothesized	
  Mean	
  Difference 0.00
df 52.00
t	
  Stat 4.28
P(T<=t)	
  one-­‐tail 0.00
t	
  Critical	
  one-­‐tail 1.67
P(T<=t)	
  two-­‐tail 0.00
t	
  Critical	
  two-­‐tail 2.01
03.	
  Data	
  Analysis
Q.	
  Automatic	
  post
Be	
  careful!!!! Don’t	
  make	
  your	
  followers	
  guess!!!!
03.	
  Data	
  Analysis
Q.	
  Use	
  of	
  multimedia
Reach:	
  71
Engagement:	
  1
Reach:	
  342
Engagement:	
  79
03.	
  Data	
  Analysis
Q.	
  Use	
  of	
  multimedia
Impression:	
  6128
Engagement:	
  0
Impression:	
  11792
Engagement:	
  132
03.	
  Data	
  Analysis
Q.	
  Use	
  of	
  hashtag
0
50
100
150
200
250
300
Reach Engagement
Y N
03.	
  Data	
  Analysis
Q.	
  Use	
  of	
  hashtag
Engagement Y N
Mean 46.23 34.33
Variance 8038.05 2786.08
Observations 48.00 73.00
Pooled	
  Variance 4860.39
Hypothesized	
  Mean	
  Difference 0.00
df 119.00
t	
  Stat 0.92
P(T<=t)	
  one-­‐tail 0.18
t	
  Critical	
  one-­‐tail 1.66
P(T<=t)	
  two-­‐tail 0.36
t	
  Critical	
  two-­‐tail 1.98
Reach Y N
Mean 236.90 238.73
Variance 37162.69 42825.23
Observations 48.00 73.00
Pooled	
  Variance 40588.76
Hypothesized	
  Mean	
  Difference 0.00
df 119.00
t	
  Stat -­‐0.05
P(T<=t)	
  one-­‐tail 0.48
t	
  Critical	
  one-­‐tail 1.66
P(T<=t)	
  two-­‐tail 0.96
t	
  Critical	
  two-­‐tail 1.98
03.	
  Data	
  Analysis
Q.	
  Use	
  of	
  hashtag
4200
4400
4600
4800
5000
5200
5400
5600
5800
Impression
Y N
0
5
10
15
20
25
30
35
Engagement
Y N
03.	
  Data	
  Analysis
Q.	
  Use	
  of	
  hashtag
Reach Y N
Mean 5591.44 4779.10
Variance 17806446.93 7981819.26
Observations 75.00 83.00
Pooled	
  Variance 12642219.56
Hypothesized	
  Mean	
  Difference 0.00
df 156.00
t	
  Stat 1.43
P(T<=t)	
  one-­‐tail 0.08
t	
  Critical	
  one-­‐tail 1.65
P(T<=t)	
  two-­‐tail 0.15
t	
  Critical	
  two-­‐tail 1.98
Engagement Y N
Mean 28.60 8.81
Variance 3333.73 133.23
Observations 75.00 83.00
Pooled	
  Variance 1651.42
Hypothesized	
  Mean	
  Difference 0.00
df 156.00
t	
  Stat 3.06
P(T<=t)	
  one-­‐tail 0.00
t	
  Critical	
  one-­‐tail 1.65
P(T<=t)	
  two-­‐tail 0.00
t	
  Critical	
  two-­‐tail 1.98
03.	
  Data	
  Analysis
Q.	
  Use	
  of	
  hashtag
0
2
4
6
8
10
12
Engagement
Y N
Engagement Y N
Mean 11.37 11.20
Variance 26.03 35.51
Observations 59.00 10.00
Pooled	
  Variance 27.30
Hypothesized	
  Mean	
  Difference 0.00
df 67.00
t	
  Stat 0.10
P(T<=t)	
  one-­‐tail 0.46
t	
  Critical	
  one-­‐tail 1.67
P(T<=t)	
  two-­‐tail 0.92
t	
  Critical	
  two-­‐tail 2.00
03.	
  Data	
  Analysis
Q.	
  Links	
  from	
  Social	
  Media	
  (Digital	
  Collections):	
  from	
  Jan.	
  1	
  to	
  Oct.	
  31,	
  2015
Last	
  year:	
  1574	
  
Last	
  year:	
  155	
  
03.	
  Data	
  Analysis
Q.	
  Links	
  from	
  Social	
  Media	
  (UL	
  Website ):	
  from	
  Jan.	
  1	
  to	
  Oct.	
  31,	
  2015
Last	
  year:	
  1546	
  
Last	
  year:	
  629	
  
04.	
  Lessons	
  Learned
Facebook	
  vs.	
  Twitter	
  vs.	
  Instagram
Reach Less	
  reached
Largest	
  Penetration	
  
in	
  the	
  U.S.
N/A
User	
  Engagement Better	
  engaged Engaged Increasing
Multimedia
Better	
  reach/user	
  
engagement
Better	
  reach/user	
  
engagement
All	
  about	
  pictures	
  
and	
  videos
Hashtag No	
  difference
Better	
  user	
  
engagement
No	
  difference
04.	
  Lessons	
  Learned
Facebook	
  vs.	
  Twitter	
  vs.	
  Instagram	
  for	
  Multimedia
940	
  pixels	
  x	
  788	
  pixels
1024	
  pixels	
  x	
  512	
  pixels
620	
  pixels	
  x	
  640	
  pixels
04.	
  Lessons	
  Learned
Collaboration
04.	
  Lessons	
  Learned
Collaboration
04.	
  Lessons	
  Learned
Collaboration
04.	
  Lessons	
  Learned
Reaction:	
  We	
  Listen	
  to	
  You
04.	
  Lessons	
  Learned
Reaction:	
  We	
  Listen	
  to	
  You
04.	
  Lessons	
  Learned
Reaction:	
  We	
  Listen	
  to	
  You
05.	
  Tools
Canva
https://www.canva.com/
Layout	
  from	
  Instagram
UL	
  Social	
  Media
https://www.facebook.com/iupuilibrary/
https://twitter.com/IUPUI_ulib
https://instagram.com/iupui_ulib/
When	
  Usability	
  Meets	
  Social	
  Media
Strengthen	
  Your	
  Connections	
  with	
  Users
Yoo	
  Young	
  Lee
Digital	
  User	
  Experience	
  Librarian
Liaison	
  Librarian	
  to	
  the	
  School	
  of	
  Health	
  
and	
  Rehabilitation	
  Sciences
Willie	
  Miller
Liaison	
  Librarian	
  to	
  the	
  School	
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When Usability Meets Social Media: Strengthen Your Connections with Users

  • 1. When  Usability  Meets  Social  Media Strengthen  Your  Connections  with  Users Yoo  Young  Lee Digital  User  Experience  Librarian Liaison  Librarian  to  the  School  of  Health   and  Rehabilitation  Sciences Willie  Miller Liaison  Librarian  to  the  School  of   Informatics  and  the  Department  of   Journalism  and  Public  Relations Indiana  University  Purdue  University  Indianapolis
  • 2. Outline 01.  Background  @  IUPUI  UL 02.  Social  Media  (2015)  @  IUPUI  UL 03.  Data  Analysis 04.  Lessons  Learned 05.  Tools
  • 3. 01.  Background  @  IUPUI  UL IUPUI  University  Library Campus  Outreach  Group  (COG)
  • 4. 01.  Background  @  IUPUI  UL Social  Media  People Willie  Miller Yoo  Young  Lee Taylor  Leonard Alicia  Añino Jenny  Johnson Chair UX External   Relations Admin. Digital   Scholarship
  • 5. 01.  Background  @  IUPUI  UL History 2009 Social  Media  Presence 2009-­‐2013 Increase  Fans  and  Followers 2014 Instagram 2015 Content  Engagement Facebook:  2,252 Fans Twitter:  1,674 Followers Instagram:  262 FollowersWe  started  Facebook and  Twitter! Focused  on  Boosting   Content  Engagement
  • 6. 01.  Background  @  IUPUI  UL Content  Engagement “Real  people  responding  in  measurable  ways  to  your  content…” -­‐ Neil  Patel
  • 7. 01.  Background  @  IUPUI  UL Content  Engagement:  Key  Objectives “Real  people  responding   in  measurable  ways  to   your  content…” -­‐ Neil  Patel Real  People Measurable Content IUPUI  Community • Students • Faculty • Staff • Indy  residents • Researchers What  we  care: • Increase  page  views • Boost  awareness • Encourage  audience   interactions Be  valuable • Information • Assistance • Entertainment
  • 8. 01.  Background  @  IUPUI  UL Social  Media  User  Experience Measure Analyze Modify Improve Check  current  practices   and  gather  data Investigate  current   practices  based  on  data Change  social  media   practices  based  on  analysis People  like  and  follow  us   more  than  ever!
  • 9. 01.  Background  @  IUPUI  UL Key  Goals 1 Post  Often,  Schedule  and  Spread  Out 2 Cross-­‐Post 3 Content  Diversification
  • 10. 02.  Social  Media  (2015)  @  IUPUI  UL 1 Post  Often,  Schedule  and  Spread  Out 0 5 10 15 20 25 30 Jan Feb Mar Apr May June July Aug Sept Oct Facebook Twitter Instagram
  • 11. 02.  Social  Media  (2015)  @  IUPUI  UL 1 Post  Often,  Schedule  and  Spread  Out 12  Posts 16  Posts 7  Posts
  • 12. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media Events:  42  Unique  Posts News:  34  Unique  Posts Miscellaneous:  28  Unique  Posts Tips:  20  Unique  Posts Throwback  Thursday  (TBD):  13  Unique  Posts Events 31% News 25% Misc. 20% Tips 15% TBD 9%
  • 13. 02.  Social  Media  (2015)  @  IUPUI  UL #Events:  Pass  the  Jag 2/3 Content  Diversification  across  our  Social  Media
  • 14. 02.  Social  Media  (2015)  @  IUPUI  UL #Events:  I  Heart  UL 2/3 Content  Diversification  across  our  Social  Media
  • 15. 02.  Social  Media  (2015)  @  IUPUI  UL #Events:  Earth  Day 2/3 Content  Diversification  across  our  Social  Media
  • 16. 02.  Social  Media  (2015)  @  IUPUI  UL #Events:  Up  Late 2/3 Content  Diversification  across  our  Social  Media
  • 17. 02.  Social  Media  (2015)  @  IUPUI  UL #Events:  Welcome  Week  -­‐ JagSwag 2/3 Content  Diversification  across  our  Social  Media
  • 18. 02.  Social  Media  (2015)  @  IUPUI  UL #Events:  Regatta 2/3 Content  Diversification  across  our  Social  Media
  • 19. 02.  Social  Media  (2015)  @  IUPUI  UL #Events:  Surprising  3D  Jag 2/3 Content  Diversification  across  our  Social  Media
  • 20. 02.  Social  Media  (2015)  @  IUPUI  UL #Events:  Open  Access  Week 2/3 Content  Diversification  across  our  Social  Media
  • 21. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media #News:  Book  Club
  • 22. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media #News:  Sculpture
  • 23. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media #News:  New  Website
  • 24. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media #News:  Indy  Recorder  Award
  • 25. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media #Miscellaneous
  • 26. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media #Tips
  • 27. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media #Library  Tips
  • 28. 02.  Social  Media  (2015)  @  IUPUI  UL 2/3 Content  Diversification  across  our  Social  Media #Throwback  Thursday
  • 29. 03.  Data  Analysis Q.  Reach/Impression 5165 238 0 1000 2000 3000 4000 5000 6000 Instagram Twitter Facebook N/A 157 82 Fan Non  fan Our  fans:  2,252 Our  Followers:  1,674  
  • 30. 03.  Data  Analysis Q.  Engagement 4% 1% 16% 0% 2% 4% 6% 8% 10% 12% 14% 16% 18% Instagram Twitter Facebook
  • 31. 03.  Data  Analysis Q.  Which  content  most  reached? 1 Misc.  Shared  Content 2 TBT 1,130 878
  • 32. 03.  Data  Analysis Q.  Which  content  most  reached? 3 Misc.  Shared  Content 4 Misc.  Shared  Content 5 Library  Tips 846 804 739
  • 33. 03.  Data  Analysis Q.  Reach  on  Average 0 100 200 300 400 500 600 Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
  • 34. 03.  Data  Analysis Q.  Which  content  most  reached? 1 Library  Tips 2 Events 32,055 18,560
  • 35. 03.  Data  Analysis Q.  Which  content  most  reached? 3 Events 4 Events 5 Events 14,095 12,193 11,792
  • 36. 03.  Data  Analysis Q.  Impression  on  Average 0 2000 4000 6000 8000 10000 12000 Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
  • 37. 03.  Data  Analysis 1 Events 2 Events Q.  Which  content  got  most  user  engagement? 608 352
  • 38. 03.  Data  Analysis 3 Misc.  Shared  Content 4 Events TBD Q.  Which  content  got  most  user  engagement? 5 187 170 128
  • 39. 03.  Data  Analysis Q.  Engagement 0 20 40 60 80 100 120 140 Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
  • 40. 03.  Data  Analysis 1 Events 2 Events 390 294 Q.  Which  content  got  most  user  engagement?
  • 41. 03.  Data  Analysis 3 Library  Tips 4 Library  Tips Misc. 82 78 72 Q.  Which  content  got  most  user  engagement? 5
  • 42. 03.  Data  Analysis Q.  Engagement 0 10 20 30 40 50 60 Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
  • 43. 03.  Data  Analysis 1 Misc. 2 Events 34 23 Q.  Which  content  got  most  user  engagement?
  • 44. 03.  Data  Analysis 3 TBD 4 Misc. TBD 21 21 20 Q.  Which  content  got  most  user  engagement? 5
  • 45. 03.  Data  Analysis Q.  Engagement 0 2 4 6 8 10 12 14 16 18 Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct.
  • 46. 03.  Data  Analysis Q.  Automatic  post   0 2000 4000 6000 8000 10000 12000 14000 16000 Direct Automatic 0 10 20 30 40 50 60 70 80 Direct Automatic Exclude  one  outlier  (294) Reach User  Engagement
  • 47. 03.  Data  Analysis Q.  Automatic  post   Reach User  Engagement t-­‐Test:  Two-­‐Sample  Assuming  Equal  Variances Direct Automatic Mean 6128.71 5742.32 Variance 11258622.95 8260330.74 Observations 28.00 28.00 Pooled  Variance 9759476.85 Hypothesized  Mean  Difference 0.00 df 54.00 t  Stat 0.46 P(T<=t)  one-­‐tail 0.32 t  Critical  one-­‐tail 1.67 P(T<=t)  two-­‐tail 0.65 t  Critical  two-­‐tail 2.00 t-­‐Test:  Two-­‐Sample  Assuming  Equal  Variances Direct Automatic Mean 15.70 2.37 Variance 258.14 4.24 Observations 27.00 27.00 Pooled  Variance 131.19 Hypothesized  Mean  Difference 0.00 df 52.00 t  Stat 4.28 P(T<=t)  one-­‐tail 0.00 t  Critical  one-­‐tail 1.67 P(T<=t)  two-­‐tail 0.00 t  Critical  two-­‐tail 2.01
  • 48. 03.  Data  Analysis Q.  Automatic  post Be  careful!!!! Don’t  make  your  followers  guess!!!!
  • 49. 03.  Data  Analysis Q.  Use  of  multimedia Reach:  71 Engagement:  1 Reach:  342 Engagement:  79
  • 50. 03.  Data  Analysis Q.  Use  of  multimedia Impression:  6128 Engagement:  0 Impression:  11792 Engagement:  132
  • 51. 03.  Data  Analysis Q.  Use  of  hashtag 0 50 100 150 200 250 300 Reach Engagement Y N
  • 52. 03.  Data  Analysis Q.  Use  of  hashtag Engagement Y N Mean 46.23 34.33 Variance 8038.05 2786.08 Observations 48.00 73.00 Pooled  Variance 4860.39 Hypothesized  Mean  Difference 0.00 df 119.00 t  Stat 0.92 P(T<=t)  one-­‐tail 0.18 t  Critical  one-­‐tail 1.66 P(T<=t)  two-­‐tail 0.36 t  Critical  two-­‐tail 1.98 Reach Y N Mean 236.90 238.73 Variance 37162.69 42825.23 Observations 48.00 73.00 Pooled  Variance 40588.76 Hypothesized  Mean  Difference 0.00 df 119.00 t  Stat -­‐0.05 P(T<=t)  one-­‐tail 0.48 t  Critical  one-­‐tail 1.66 P(T<=t)  two-­‐tail 0.96 t  Critical  two-­‐tail 1.98
  • 53. 03.  Data  Analysis Q.  Use  of  hashtag 4200 4400 4600 4800 5000 5200 5400 5600 5800 Impression Y N 0 5 10 15 20 25 30 35 Engagement Y N
  • 54. 03.  Data  Analysis Q.  Use  of  hashtag Reach Y N Mean 5591.44 4779.10 Variance 17806446.93 7981819.26 Observations 75.00 83.00 Pooled  Variance 12642219.56 Hypothesized  Mean  Difference 0.00 df 156.00 t  Stat 1.43 P(T<=t)  one-­‐tail 0.08 t  Critical  one-­‐tail 1.65 P(T<=t)  two-­‐tail 0.15 t  Critical  two-­‐tail 1.98 Engagement Y N Mean 28.60 8.81 Variance 3333.73 133.23 Observations 75.00 83.00 Pooled  Variance 1651.42 Hypothesized  Mean  Difference 0.00 df 156.00 t  Stat 3.06 P(T<=t)  one-­‐tail 0.00 t  Critical  one-­‐tail 1.65 P(T<=t)  two-­‐tail 0.00 t  Critical  two-­‐tail 1.98
  • 55. 03.  Data  Analysis Q.  Use  of  hashtag 0 2 4 6 8 10 12 Engagement Y N Engagement Y N Mean 11.37 11.20 Variance 26.03 35.51 Observations 59.00 10.00 Pooled  Variance 27.30 Hypothesized  Mean  Difference 0.00 df 67.00 t  Stat 0.10 P(T<=t)  one-­‐tail 0.46 t  Critical  one-­‐tail 1.67 P(T<=t)  two-­‐tail 0.92 t  Critical  two-­‐tail 2.00
  • 56. 03.  Data  Analysis Q.  Links  from  Social  Media  (Digital  Collections):  from  Jan.  1  to  Oct.  31,  2015 Last  year:  1574   Last  year:  155  
  • 57. 03.  Data  Analysis Q.  Links  from  Social  Media  (UL  Website ):  from  Jan.  1  to  Oct.  31,  2015 Last  year:  1546   Last  year:  629  
  • 58. 04.  Lessons  Learned Facebook  vs.  Twitter  vs.  Instagram Reach Less  reached Largest  Penetration   in  the  U.S. N/A User  Engagement Better  engaged Engaged Increasing Multimedia Better  reach/user   engagement Better  reach/user   engagement All  about  pictures   and  videos Hashtag No  difference Better  user   engagement No  difference
  • 59. 04.  Lessons  Learned Facebook  vs.  Twitter  vs.  Instagram  for  Multimedia 940  pixels  x  788  pixels 1024  pixels  x  512  pixels 620  pixels  x  640  pixels
  • 63. 04.  Lessons  Learned Reaction:  We  Listen  to  You
  • 64. 04.  Lessons  Learned Reaction:  We  Listen  to  You
  • 65. 04.  Lessons  Learned Reaction:  We  Listen  to  You
  • 68. When  Usability  Meets  Social  Media Strengthen  Your  Connections  with  Users Yoo  Young  Lee Digital  User  Experience  Librarian Liaison  Librarian  to  the  School  of  Health   and  Rehabilitation  Sciences Willie  Miller Liaison  Librarian  to  the  School  of   Informatics  and  the  Department  of   Journalism  and  Public  Relations Indiana  University  Purdue  University  Indianapolis