Cited by 32Social Media and PoliticsComplex Network Analysis TechniquesElectoral Systems and Political Participation

Shared contexts, shared background, shared values – Homophily in Finnish parliament members’ social networks on Twitter

Open access
Koiranen, Ilkka, Koivula, Aki, Keipi, Teo, Saarinen, Arttu·2019·Telematics and Informatics

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.tele.2018.11.009

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • When considering social networks and the impact of digital media on homophilic structures, the literature contains consistent reports of ideologically homogeneous social clusters.

    “On the other hand, when considering social networks and the impact of digital media on homophilic structures, the literature contains consistent reports of ideologically homogeneous social clusters147–151.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 71 · Cited by 32

Research works printed but not linked: 7

  1. [6]6. Bolin, N. 2016. Green parties in Finland and Sweden. Green parties in Europe. In van Haute, E. (Eds.) Green parties in Europe. Abingdon: Routledge, pp. 158-176.
  2. [17]17. Faucher-King, F. 2005. Changing parties: an anthropology of British political conferences. Springer.
  3. [23]23. Haukio, J. & Suojanen, M. 2004. Vaalikone poliittisena mediana. Politiikka: Valtiotieteellisen yhdistyksen julkaisu 46 (2), 128-136.
  4. [29]29. Karvonen, L. 2014 Parties, Governments and Voters in Finland: Politics Under Fundamental Societal Transformation. Colchester: ECPR Press.
  5. [39]39. Lazarsfeld, P. F., & Merton, R. K. (1954). Friendship as a social process: A substantive and methodological analysis. Freedom and control in modern society, 18 (1), 18-66.
  6. [41]41. Lipset, S. M., & Rokkan, S. (Eds.). 1967. Party systems and voter alignments: Cross-national perspectives (Vol. 7). Free press.
  7. [59]59. Teenstra, L., Uitermark, J. & Törnberg, P. 2018. Political coalitions and divisions on Twitter in 23 countries. Preprint manuscript.

Authors
Koiranen, I., Koivula, A., Keipi, T., & Saarinen, A.
Affiliations
University of Turku (FI)
Corresponding author
Koiranen, Ilkka
Venue
Telematics and Informatics
Publisher
Elsevier BV
Published
2019-03
Volume
36
Pages
117-131
ISSN
0736-5853 (ISSN-L)
OpenAlex
W2900988648
Cited by
32
References
71
Citations by year
2026: 1 · 2025: 1 · 2024: 4 · 2023: 4 · 2022: 12 · 2021: 5 · 2020: 3 · 2019: 2
FWCI
5.47
Type
journal article
Language
en
Open access
Locations
  • Telematics and Informatics (publishedVersion)
  • UTUPub (University of Turku) (submittedVersion)
Funders
  • Strategic Research Council
  • Academy of Finland (314250)
  • Helsingin Sanomat Foundation
Topics
  • Social Sciences › Communication › Social Media and Politics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
Keywords
homophily, Members of Parliament, Twitter, social networks, tie formation, political ideology, Finnish Parliament, voting advice applications, social media and politics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review