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Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
Affective Publics
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Affective Publics

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  • 1.   Affec&ve  news  streams  and  networked  publics:   mediality  and  engagement  on  Twi;er   Zizi  Papacharissi,  PhD   Professor  and  Head,  Communica&on,  University  of  Illinois-­‐ Chicago   @zizip    Papacharissi, Z. & Oliveira, de Fatima M. (2012). Affective News and Networked Publics: The Rhythms of NewsStorytelling on #Egypt. Journal of Communication.Meraz, S. & Papacharissi, Z. (2012). Broadcasting and Listening Practices on #egypt: Networked Gatekeepingand Networked Framing. Paper presented at IAMCR, Durban, South Africa.Papacharissi, Z. & Meraz, S. (2012).The Rhythms of Occupy: Broadcasting and Listening Practices on #ows-IR13Meraz, S. & Papacharissi, Z. (2012). Networked framing and gatekeeping on #ows - forthcoming
  • 2. premise   •  Twi;er  as  news  repor&ng   mechanism  •  Twi;er  and  news  storytelling   –  Established  news  values  guide   use  of  Twi;er   –  News  breaking/premedia&on/ instantaneity  •  Collec&vely  prodused  news   –  Homophily,  peripheral   awareness  and  ambient  news   feeds  and  the  news  economy   environments,  hybridity     •  Twi;er  as  news  sharing  •  Twi;er  as  alterna&ve/ mechanism  during  uprisings   primary  channel  for   –  Electronic  word  of  mouth   informa&on   –  Broadcas&ng  and  ‘listening  in’     on  uprisings   –  Homophily  and  group  iden&ty    
  • 3. •  News  values  •  The  form  of  news  as  specific  to  socio-­‐cultural  context    RQ1:  What  news  values  were  prevalent  in  the  Twi;er  news  streams  capturing  the  events  of  the  2011  Egyp&an  uprising?  RQ2:  What  form  did  news  storytelling  on  Twi;er    take  during  the  recent  2011  Egyp&an  uprising?    METHOD:    Frequency  analysis  (  R  ),  1.5  million  mul&lingual  tweets,  computerized  content  analysis  (seman&c,  addressivity  markers,  flow),  discourse  analysis  #egypt   News  values  and  the  form  of  news  on  #egypt  
  • 4. [news  values]  •  News  values  priori&se  stories  about  events  that  are  recent,  sudden,  unambiguous,   predictable,  relevant  and  close  (to  the  relevant  culture/class/loca&on).  •  Priority  is  given  to  stories  about  the  economy,  government  poli&cs,  industry  and   business,  foreign  affairs  and  domes&c  affairs-­‐either  of  conflict  or  human  interest-­‐   disasters  and  sport.  •  Priority  is  given  to  elite  na&ons  (the  US,  the  UK,  Europe,  etc.)  and  elite  people.  •  News  values  ofen  involve  appeals  to  dominant  ideologies  and  discourses.  What  is   cultural  and/or  historical  will  be  presented  as  natural  and  consensual.  •  News  stories  need  to  appeal  to  readers/viewers  so  they  must  be  commonsensical,   entertaining  and  drama&c  (like  fic&on),  and  visual  (Hartley,  2002,  p.  166).   News  values  turn  events  into  stories  
  • 5. Old  valuesLarge  scale  of  events,  closeness  to  home,  clarity  of  meaning,  short  &me  scale,  relevance,  consonance,  personifica&on,  significance,  drama,  ac&on  +++  it’s  all  there,  except  nega&vity   Remedia-ons  and/or  new    values  (drama)  of  instantaneity   Events  instantly  turn  into  stories  crowdsourced  elites  (networked  gatekeeping)  solidarity  (networked  framing)  ambience  Constancy  and  con&nuity  of  always  on  news  environment  with  a  pulse  of  its  own,  organic,  collec&ve     Hybridity  of  old  +  new  news  values    
  • 6. !" #!!!!" $!!!!" %!!!!" &!!!!" !!!!!" #!!!!" $!!!!" %!!!!" &!!!!"(#)(#!)"(#%(#!)"(#*(#!)"(#&(#!)"(#+(#!)"(,!(#!)" !" #!!!!" $!!!!" %!!!!" &!!!!" !!!!!" #!!!!" $!!!!" %!!!!" &!!!!"(,(#!)" (#)(#!)" (#%(#!)" #((#!)" (#*(#!)" #(#(#!)" (#&(#!)" (#+(#!)" #(,(#!)" (,!(#!)" (,(#!)" #($(#!)" #((#!)" #()(#!)" #(#(#!)" #(,(#!)" #(%(#!)" #($(#!)" #()(#!)" #(*(#!)" #(%(#!)" #(*(#!)" #(&(#!)" #(&(#!)" #(+(#!)" #(+(#!)" #(!(#!)"#(!(#!)" #((#!)" #(#(#!)"#((#!)" #(,(#!)" #($(#!)"#(#(#!)" #()(#!)"#(,(#!)" #(%(#!)" #(*(#!)"#($(#!)" #(&(#!)" #(+(#!)"#()(#!)" #(#!(#!)" #(#(#!)"#(%(#!)" #(##(#!)"#(*(#!)" #(#,(#!)" #(#$(#!)"#(&(#!)" #(#)(#!)"#(+(#!)" 2" 34" 567" -./01"#(#!(#!)"#(#(#!)"#(##(#!)"#(#,(#!)"#(#$(#!)"#(#)(#!)" 2" 34" 567" -./01"
  • 7. networked  gatekeeping:  connec&vity  
  • 8. Affec&ve-­‐resigna&on  
  • 9. Affec&ve-­‐most  
  • 10. Affect:  emo&ve  expressions/feeling  subjec&vely  experienced  connected  to  processes  of  premedia&on/an&cipa&on  of  events  prior  to  their  occurrence    •  Rhythm  and  pace  of  storytelling   –  Instant,  emo&ve,  pha&c  •  Repe&&on  and  mimicry  set  the  pace  •  Oral  and  print  cultures  of  storytelling  combine    News,  fact,  drama,  opinion,  emo&on  blend  into  one  =  affect     The  Form  of  Affec&ve  News  
  • 11. Affec&ve  news  streams  Collabora&ve  news  feeds  expose  (temporal)  incompa&bili&es  between  live  twee&ng  news  and  news  repor&ng  =  many  journalisms    Leaderless  publics/revolu&ons?    Affect  and  news  storytelling,  affect  and  mobiliza&on  
  • 12. THE  RHYTHMS  OF  OCCUPY  (#ows)-­‐  theore&cal  framework   Who  says  what  to  whom  [w/what  effect]   Framing/Gatekeeping       Networked  Gatekeeping   a  process  through  which  actors  are  crowdsourced  to  prominence  via  the  use   of  conversa&onal,  social  prac&ces  that  symbio&cally  connect  elite  and  crowd   in  the  determina&on  of  informa&on  relevancy     Networked  Framing   Process  through  which  a  par&cular  problem  defini&on,  causal  interpreta&on,   moral  evalua&on,  and/or  treatment  recommenda&on  a;ain  prominence   through  crowdsourcing  prac&ces    
  • 13. research  design  RQ  1:  How  do  tweets  containing    conversa&onal  markers  describe  the   networked  rhythms  of  content  produced  via  #ows?  RQ2:  How  do  elite  users  emerge  across  addressivity  markers?  RQ3:  How  do  prominent  frames  emerge  through  the  news  stream  of  #ows?      METHOD  10%  stra&fied  random  sample  Oct  2011-­‐  July  2012  –  vigiglobe.com  Frequency  analysis  (SQL  scripts),  computerized  content  analysis  (SQL  scripts   +seman&c  on  addressivity  markers  and  hashtag  frequency),  discourse   analysis  (isolated  episodes  of  high  addressivity/peaks,  examine  content,   addressity  pa;erns,  focus  of  conversa&on,  conversa&onal  tendencies)  
  • 14. RQ1:  Networked  rhythms  of  content  produced  via  #ows   6000   5000   4000   3000   count   Men&on   RT   2000   Via   1000   0  
  • 15. RQ2:  Networked  Gatekeeping  
  • 16. RQ3:  Networked  Framing  
  • 17. Conversa&onal  prac&ces  and  affordances     (discourse  analysis  findings)  Openness  and  disorder     –  Reluctance  to  frame  and  name  elites   –  ideological  trolling,  conten&on,  2  broad  opposing  frames   –  No  delibera&on,  cascade  of  informa&on  and  opinion  Connec&ve  ac&on  tropes  and  empty  signifiers   –  Personalized  ac&on  frames,  presencing   –  Refrains  and  resis&ng  the  collec&ve  we    Performa&vity   –  Informa&on  sharing  vs.  opinions   –  Affec&ve  claims  and  affec&ve  publics    
  • 18. Aferword  Affec&ve  Publics  (Oxford  U  Press,  2013)    Mul&-­‐mediali&es    Supersurfaces  and  electronic  elsewheres     photos  my  own,  from  current  and  past  exhibits  at    tate  modern  -­‐  centre  pompidou  –  momuk  vienna  –  chicago  art  expo   uic.edu/~zizi  ::    zizi@uic.edu  ::  @zizip  

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