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BAD	
  BUZZ	
  2015:	
  RESEARCH	
  FINDINGS	
  	
  	
  	
  
643	
  bad	
  buzz	
  situations	
  since	
  January	
  
2015	
  (	
  1)
(1)	
  	
  Inventory	
   of	
  significant	
   instances	
   of	
  a	
  bad	
  buzz	
  on	
  English	
   and	
  
French	
   websites
Bad	
  Buzz
February	
  2016
WHO	
  ARE	
  THE	
  VICTIMS	
  OF	
  A	
  BAD	
  BUZZ?	
  	
  
Worldwide	
  brands	
  are	
  no	
  
longer	
  the	
  only	
  victims	
  of	
  
digital	
  crises	
  	
  
B	
  to	
  C
55%Public	
  
administration,	
  
public	
  firms…
SMEs
18%
Associations/char
ities
6%
B	
  to	
  B
1%
PROFILE	
  OF	
  BAD	
  BUZZ	
  VICTIMS
They	
  are	
  markedly	
  different	
  from	
  the	
  
victims	
  of	
  traditional	
  media	
  crises:
Media	
  	
  &	
  Fashion	
  are	
  the	
  two	
  sectors	
  
most	
  exposed	
  to	
  a	
  bad	
  buzz	
  	
  
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
SECTORS	
  THE	
  MOST	
  
EXPOSED	
  TO	
  A	
  BAD	
  BUZZ
Media
Fashion
Culture
Restaurant-­‐Hotel
Food
Hi	
  Tech	
  
Internet
Retail
Transport
Equipment
Other
WHO	
  ARE	
  THE	
  VICTIMS	
  OF	
  A	
  BAD	
  BUZZ?	
  	
  
WHERE	
  DOES	
  A	
  BAD	
  BUZZ	
  BREAK	
  OUT?	
  
The	
  web is	
  where	
  a	
  bad	
  buzz	
  
most	
  often	
  appears
93%
7%
PLACES	
  WHERE	
  A	
  
BAD	
  BUZZ	
  APPEARS
Internet Traditional	
  media
Twitter &	
  editorial	
  websites*	
  
are	
  the	
  main	
  places	
  where	
  a	
  
bad	
  buzz	
  appears,	
  followed	
  by	
  
Facebook
*	
  sites,blogs	
  
Websites	
  -­‐
blogs 35%
Twitter	
  
36%
Facebook
21%
YouTube
4%
Other	
  4%
PLACES	
  WHERE	
  A	
  BAD	
  BUZZ	
  
APPEARS	
  ON	
  THE	
  WEB
WHERE	
  DOES	
  A	
  BAD	
  BUZZ	
  BREAK	
  OUT	
  ON	
  THE	
  WEB?	
  
BAD	
  BUZZ:	
  MAIN	
  TRIGGERS
40%	
  of	
  bad	
  buzz	
  situations	
  result	
  from	
  miscommunication	
   	
  
Communication
40%
Other	
  initiatives	
  
(behavior,	
  …)
60%
EVENTS	
  THAT	
  TRIGGER	
  A	
  BAD	
  BUZZ
BAD	
  BUZZ:	
  MAIN	
  TRIGGERS
5	
  Taboos	
  explain	
  more	
  than	
  
60% of	
  bad	
  buzz:	
  ethnical*,	
  
sexual	
  &	
  social	
  discrimination,	
  
manipulation,	
   disrespect	
  	
  
towards	
  clients
*Ethnical	
  &	
  regional	
  discrimination
Ethnical/geograp
hical	
  
discrimination
18% Sexual	
  
discrimination
13%
Manipulation
11%Social	
  
discrimination
10%
Disrespect	
  
towards	
  clients
10%
Deviant	
  behavior	
  
9%
Non-­‐ compliance	
  
with	
  web	
  rules
4%
Animal	
  
cruelty
4%
Physical	
  
discrimination
3%
Disrespect	
  
towards	
  the	
  
innocence	
  of	
  
children
3%
Other
15%
DIGITAL	
  TABOOS
WHEN	
  HIT	
  BY	
  A	
  BAD	
  BUZZ,	
  HOW	
  DO	
  ORGANIZATIONS	
  REACT?
Silence	
  is	
  no	
  longer	
  their	
  number	
  
one	
  reaction.	
  Organizations(1)	
   	
  
prefer	
  to	
  communicate	
  	
  
(1)	
  	
  Companies,	
   associations,	
   charities,	
   other	
  organisations
Releasing	
   a	
  
statement
84%
Keeping	
  silent
14%
Keeping	
  silent	
  
but	
  back	
  
tracking
2%
REACTION
Organizations(1)	
   are	
  less	
  likely	
  to	
  issue	
  a	
  mea	
  culpa
(1)	
  	
  Companies,	
   associations,	
   charities,	
   other	
  organisations
Mea	
  culpa
48%
No	
  mea	
  culpa
52%
AMONG	
  THE	
  ORGANIZATIONS	
   WHICH	
  
PUBLISH	
  A	
  STATEMENT
WHEN	
  HIT	
  BY	
  A	
  BAD	
  BUZZ,	
  HOW	
  DO	
  ORGANIZATIONS	
  REACT?
REACTIONS	
  ARE	
  NOT	
  ALWAYS	
  APPROPRIATE…
In	
  	
  50%	
  of	
  cases,	
  the	
  
response	
  of	
  the	
  organization(1)	
   	
  
has	
  no	
  positive	
  impact:	
  it	
  does	
  
not	
  calm	
  web	
  users	
  down
(1)	
  	
  Companies,	
   associations,	
   charities,	
   other	
  organisations
50%50%
IS	
  THE	
  REACTION	
  EFFECTIVE?
Yes No
WHAT	
  ARE	
  THE	
  MOST	
  EFFECTIVE	
  REACTIONS	
  ?
1Communication:	
   a	
  necessary	
  
condition…
76%
24%
REACTIONS	
  OF	
  THOSE	
  WHO	
  
MASTERED	
  A	
  BAD	
  BUZZ
They	
  issued	
  a	
  statement They	
  didn't
1Communication…	
   not	
  
sufficient!
54%46%
IMPACT	
  OF	
  
COMMUNICATION
Bad	
  buzz	
  that	
  is	
  less	
  critical
No	
  positive	
  impact	
  
WHAT	
  ARE	
  THE	
  MOST	
  EFFECTIVE	
  REACTIONS?
2 Mea	
  culpa	
  is	
  an	
  effective	
  option
Bad	
  buzz	
  that	
  is	
  
less	
  critical
76%
No	
  positive	
  
impact
24%
IF	
  MEA	
  CULPA
WHAT	
  ARE	
  THE	
  MOST	
  EFFECTIVE	
  REACTIONS?
REACTION	
  TO	
  AVOID:	
  CENSORSHIP
Nearly	
  30%	
  delete	
  negative	
  
comments	
  on	
  Facebook	
  
Delete	
  negative	
  
comments
27%
Don't
73%
CENSORSHIP	
  ON	
  FACEBOOK
RESEARCH	
  METHODOLOGY
Study	
  of	
  the	
  English	
  &	
  French	
  web	
  from	
  January	
  1st,2015	
  to	
  
December	
  31st,2015	
  to	
  identify	
  and	
  analyze	
  significant	
  cases	
  of	
  a	
  
bad	
  buzz	
  affecting	
  companies	
  and	
  public	
  organizations	
  of	
  all	
  sizes	
  
and	
  in	
  all	
  sectors.
A	
  significant	
  bad	
  buzz	
  (or	
  digital	
  crisis)	
  is	
  defined	
  as	
  any	
  controversy	
  
which	
  happens	
  to	
  be	
  critical	
  of	
  a	
  company	
  or	
  an	
  organization	
  	
  and	
  
that	
  takes	
  place	
  at	
  least	
  in	
  two	
  different	
  locations	
  on	
  the	
  web	
  (at	
  a	
  
significant	
  or	
  strong	
  level).	
  Some	
  may	
  be	
  “covered ”	
  offline	
  as	
  well.	
  	
  
MMC’s	
  proprietary	
  methodology*	
  used	
  to	
  evaluate	
  the	
  efficiency	
  of	
  
the	
  company/organization’s	
  tactics	
  when	
  hit	
  by	
  a	
  bad	
  buzz hinges	
  
on	
  the	
  analysis	
  of	
  several	
  key	
  factors	
  such	
  as	
  the:	
  
• Tone of	
  web	
  users’	
  comments	
  following	
  the	
  reaction	
  of	
  the	
  
company/organization
• Evolution	
  of	
  the	
  number	
  of	
  “supportive”	
  and	
  “understanding”	
  
comments	
  and	
  opponents	
  
*	
  The	
  MMC	
  methodology	
  takes	
  also	
  other	
  factors	
  and	
  criteria	
  into	
  account	
  to	
  further	
  examine	
  
and	
  refine	
  the	
  evaluation.
MMC: the	
  expert	
  In	
  digital	
  crises
20years	
  of	
  experience	
  in	
  crisis	
  
communication	
  management	
  &	
  6	
  
years in	
  digital	
  crises
Empower	
  &	
  support	
  international	
  
brands
http://mmc-­‐communication-­‐crise.com/	
  

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Bad buzz & very bad buzz research findings

  • 1. BAD  BUZZ  2015:  RESEARCH  FINDINGS         643  bad  buzz  situations  since  January   2015  (  1) (1)    Inventory   of  significant   instances   of  a  bad  buzz  on  English   and   French   websites Bad  Buzz February  2016
  • 2. WHO  ARE  THE  VICTIMS  OF  A  BAD  BUZZ?     Worldwide  brands  are  no   longer  the  only  victims  of   digital  crises     B  to  C 55%Public   administration,   public  firms… SMEs 18% Associations/char ities 6% B  to  B 1% PROFILE  OF  BAD  BUZZ  VICTIMS
  • 3. They  are  markedly  different  from  the   victims  of  traditional  media  crises: Media    &  Fashion  are  the  two  sectors   most  exposed  to  a  bad  buzz     0% 2% 4% 6% 8% 10% 12% 14% 16% 18% SECTORS  THE  MOST   EXPOSED  TO  A  BAD  BUZZ Media Fashion Culture Restaurant-­‐Hotel Food Hi  Tech   Internet Retail Transport Equipment Other WHO  ARE  THE  VICTIMS  OF  A  BAD  BUZZ?    
  • 4. WHERE  DOES  A  BAD  BUZZ  BREAK  OUT?   The  web is  where  a  bad  buzz   most  often  appears 93% 7% PLACES  WHERE  A   BAD  BUZZ  APPEARS Internet Traditional  media
  • 5. Twitter &  editorial  websites*   are  the  main  places  where  a   bad  buzz  appears,  followed  by   Facebook *  sites,blogs   Websites  -­‐ blogs 35% Twitter   36% Facebook 21% YouTube 4% Other  4% PLACES  WHERE  A  BAD  BUZZ   APPEARS  ON  THE  WEB WHERE  DOES  A  BAD  BUZZ  BREAK  OUT  ON  THE  WEB?  
  • 6. BAD  BUZZ:  MAIN  TRIGGERS 40%  of  bad  buzz  situations  result  from  miscommunication     Communication 40% Other  initiatives   (behavior,  …) 60% EVENTS  THAT  TRIGGER  A  BAD  BUZZ
  • 7. BAD  BUZZ:  MAIN  TRIGGERS 5  Taboos  explain  more  than   60% of  bad  buzz:  ethnical*,   sexual  &  social  discrimination,   manipulation,   disrespect     towards  clients *Ethnical  &  regional  discrimination Ethnical/geograp hical   discrimination 18% Sexual   discrimination 13% Manipulation 11%Social   discrimination 10% Disrespect   towards  clients 10% Deviant  behavior   9% Non-­‐ compliance   with  web  rules 4% Animal   cruelty 4% Physical   discrimination 3% Disrespect   towards  the   innocence  of   children 3% Other 15% DIGITAL  TABOOS
  • 8. WHEN  HIT  BY  A  BAD  BUZZ,  HOW  DO  ORGANIZATIONS  REACT? Silence  is  no  longer  their  number   one  reaction.  Organizations(1)     prefer  to  communicate     (1)    Companies,   associations,   charities,   other  organisations Releasing   a   statement 84% Keeping  silent 14% Keeping  silent   but  back   tracking 2% REACTION
  • 9. Organizations(1)   are  less  likely  to  issue  a  mea  culpa (1)    Companies,   associations,   charities,   other  organisations Mea  culpa 48% No  mea  culpa 52% AMONG  THE  ORGANIZATIONS   WHICH   PUBLISH  A  STATEMENT WHEN  HIT  BY  A  BAD  BUZZ,  HOW  DO  ORGANIZATIONS  REACT?
  • 10. REACTIONS  ARE  NOT  ALWAYS  APPROPRIATE… In    50%  of  cases,  the   response  of  the  organization(1)     has  no  positive  impact:  it  does   not  calm  web  users  down (1)    Companies,   associations,   charities,   other  organisations 50%50% IS  THE  REACTION  EFFECTIVE? Yes No
  • 11. WHAT  ARE  THE  MOST  EFFECTIVE  REACTIONS  ? 1Communication:   a  necessary   condition… 76% 24% REACTIONS  OF  THOSE  WHO   MASTERED  A  BAD  BUZZ They  issued  a  statement They  didn't
  • 12. 1Communication…   not   sufficient! 54%46% IMPACT  OF   COMMUNICATION Bad  buzz  that  is  less  critical No  positive  impact   WHAT  ARE  THE  MOST  EFFECTIVE  REACTIONS?
  • 13. 2 Mea  culpa  is  an  effective  option Bad  buzz  that  is   less  critical 76% No  positive   impact 24% IF  MEA  CULPA WHAT  ARE  THE  MOST  EFFECTIVE  REACTIONS?
  • 14. REACTION  TO  AVOID:  CENSORSHIP Nearly  30%  delete  negative   comments  on  Facebook   Delete  negative   comments 27% Don't 73% CENSORSHIP  ON  FACEBOOK
  • 15. RESEARCH  METHODOLOGY Study  of  the  English  &  French  web  from  January  1st,2015  to   December  31st,2015  to  identify  and  analyze  significant  cases  of  a   bad  buzz  affecting  companies  and  public  organizations  of  all  sizes   and  in  all  sectors. A  significant  bad  buzz  (or  digital  crisis)  is  defined  as  any  controversy   which  happens  to  be  critical  of  a  company  or  an  organization    and   that  takes  place  at  least  in  two  different  locations  on  the  web  (at  a   significant  or  strong  level).  Some  may  be  “covered ”  offline  as  well.     MMC’s  proprietary  methodology*  used  to  evaluate  the  efficiency  of   the  company/organization’s  tactics  when  hit  by  a  bad  buzz hinges   on  the  analysis  of  several  key  factors  such  as  the:   • Tone of  web  users’  comments  following  the  reaction  of  the   company/organization • Evolution  of  the  number  of  “supportive”  and  “understanding”   comments  and  opponents   *  The  MMC  methodology  takes  also  other  factors  and  criteria  into  account  to  further  examine   and  refine  the  evaluation.
  • 16. MMC: the  expert  In  digital  crises 20years  of  experience  in  crisis   communication  management  &  6   years in  digital  crises Empower  &  support  international   brands http://mmc-­‐communication-­‐crise.com/