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Affective Publics  Affective Publics Presentation Transcript

  •   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
  • 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    
  • •  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  
  • [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  
  • 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    
  • !" #!!!!" $!!!!" %!!!!" &!!!!" !!!!!" #!!!!" $!!!!" %!!!!" &!!!!"(#)(#!)"(#%(#!)"(#*(#!)"(#&(#!)"(#+(#!)"(,!(#!)" !" #!!!!" $!!!!" %!!!!" &!!!!" !!!!!" #!!!!" $!!!!" %!!!!" &!!!!"(,(#!)" (#)(#!)" (#%(#!)" #((#!)" (#*(#!)" #(#(#!)" (#&(#!)" (#+(#!)" #(,(#!)" (,!(#!)" (,(#!)" #($(#!)" #((#!)" #()(#!)" #(#(#!)" #(,(#!)" #(%(#!)" #($(#!)" #()(#!)" #(*(#!)" #(%(#!)" #(*(#!)" #(&(#!)" #(&(#!)" #(+(#!)" #(+(#!)" #(!(#!)"#(!(#!)" #((#!)" #(#(#!)"#((#!)" #(,(#!)" #($(#!)"#(#(#!)" #()(#!)"#(,(#!)" #(%(#!)" #(*(#!)"#($(#!)" #(&(#!)" #(+(#!)"#()(#!)" #(#!(#!)" #(#(#!)"#(%(#!)" #(##(#!)"#(*(#!)" #(#,(#!)" #(#$(#!)"#(&(#!)" #(#)(#!)"#(+(#!)" 2" 34" 567" -./01"#(#!(#!)"#(#(#!)"#(##(#!)"#(#,(#!)"#(#$(#!)"#(#)(#!)" 2" 34" 567" -./01"
  • networked  gatekeeping:  connec&vity  
  • Affec&ve-­‐resigna&on  
  • Affec&ve-­‐most  
  • 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  
  • 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  
  • 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    
  • 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)  
  • RQ1:  Networked  rhythms  of  content  produced  via  #ows   6000   5000   4000   3000   count   Men&on   RT   2000   Via   1000   0  
  • RQ2:  Networked  Gatekeeping  
  • RQ3:  Networked  Framing  
  • 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    
  • 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