Political communication on social media: A tale of hyperactive users and bias in recommender systems-Reference-Cited by-同舟云学术

Political communication on social media: A tale of hyperactive users and bias in recommender systems

Published:2020-01 Issue: Volume:15 Page:100058
ISSN:2468-6964
Container-title:Online Social Networks and Media
language:en
Short-container-title:Online Social Networks and Media

Author:

Papakyriakopoulos Orestis^ORCID,Serrano Juan Carlos Medina^ORCID,Hegelich Simon^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Communication,Information Systems

Reference87 articles.

1. J. Gottfried, E. Shearer, Americans’ online news use is closing in on tv news use, 2017, http://www.pewresearch.org/fact-tank/2017/09/07/americans-online-news-use-vs-tv-news-use/.

2. The communication behavior of german MPS on twitter: preaching to the converted and attacking opponents;Hegelich;Eur. Policy Anal.,2015

3. Personalized campaigns in party-centred politics: Twitter and Facebook as arenas for political communication;Enli;Inf. Commun. Soc.,2013

4. Structure of ego-alter relationships of politicians in twitter;Arnaboldi;J. Comput. Mediated Commun.,2017

5. Social Media Report: The 2017 German Federal Elections;Serrano,2018

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