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The Digital Architectures of Social Media : Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election

Bossetta, Michael LU (2018) In Journalism & Mass Communication Quarterly 95(2). p.471-496
Abstract
The present study argues that political communication on social media is mediated by a platform’s digital architecture—the technical protocols that enable, constrain, and shape user behavior in a virtual space. A framework for understanding digital architectures is introduced, and four platforms (Facebook, Twitter, Instagram, and Snapchat) are compared along the typology. Using the 2016 U.S. election as a case, interviews with three Republican digital strategists are combined with social media data to qualify the study’s theoretical claim that a platform’s network structure, functionality, algorithmic filtering, and datafication model affect political campaign strategy on social media.
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
political communication, affordances, primaries, digital marketing
in
Journalism & Mass Communication Quarterly
volume
95
issue
2
pages
471 - 496
publisher
SAGE Publications
external identifiers
  • scopus:85045043032
ISSN
1077-6990
language
English
LU publication?
no
id
924078dc-d21e-44d6-8142-16d52eb51c47
date added to LUP
2020-10-15 22:54:52
date last changed
2021-02-16 03:39:52
@article{924078dc-d21e-44d6-8142-16d52eb51c47,
  abstract     = {The present study argues that political communication on social media is mediated by a platform’s digital architecture—the technical protocols that enable, constrain, and shape user behavior in a virtual space. A framework for understanding digital architectures is introduced, and four platforms (Facebook, Twitter, Instagram, and Snapchat) are compared along the typology. Using the 2016 U.S. election as a case, interviews with three Republican digital strategists are combined with social media data to qualify the study’s theoretical claim that a platform’s network structure, functionality, algorithmic filtering, and datafication model affect political campaign strategy on social media.<br/>},
  author       = {Bossetta, Michael},
  issn         = {1077-6990},
  language     = {eng},
  month        = {03},
  number       = {2},
  pages        = {471--496},
  publisher    = {SAGE Publications},
  series       = {Journalism & Mass Communication Quarterly},
  title        = {The Digital Architectures of Social Media : Comparing Political Campaigning on Facebook, Twitter, Instagram, and Snapchat in the 2016 U.S. Election},
  url          = {https://lup.lub.lu.se/search/ws/files/85420474/Digital_Architectures_2018_.pdf},
  volume       = {95},
  year         = {2018},
}