Skip to main content
View expanded cover

International Conference on Complex Networks and Their Applications

COMPLEX NETWORKS 2021: Complex Networks & Their Applications X pp 705–717Cite as

Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter

  • 1628 Accesses

Part of the Studies in Computational Intelligence book series (SCI,volume 1015)

Abstract

Interaction networks are generally much less homophilic than affiliation networks, accommodating for many more cross-cutting links. By statistically assigning a political valence to users from their follower ties, and by further contrasting interaction and affiliation on Twitter (quotes and retweets) within specific discursive events, namely quote trees, we describe a variety of cross-cutting patterns which significantly nuance the traditional “echo chamber” narrative.

Keywords

  • Discussion trees
  • Cross-cutting interaction
  • Twitter

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-93409-5_58
  • Chapter length: 13 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   309.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-93409-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book
USD   399.99
Price excludes VAT (USA)
Learn about institutional subscriptions
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.

References

  1. Adamic, L.A., Glance, N.: The political blogosphere and the 2004 US election: divided they blog. In: Link KDD 2005, pp. 36–43. ACM (2005)

    Google Scholar 

  2. Barberá, P.: Birds of the same feather tweet together: Bayesian ideal point estimation using twitter data. Polit. Anal. 23(1), 76–91 (2015)

    CrossRef  Google Scholar 

  3. Barberá, P.: Social media, echo chambers, and political polarization. Soc. Media Democracy: State Field, Prospects Reform, 34 (2020)

    Google Scholar 

  4. Barberá, P., Jost, J.T., Nagler, J., Tucker, J.A., Bonneau, R.: Tweeting from left to right: is online political communication more than an echo chamber? Psychol. Sci. 26(10), 1531–1542 (2015)

    CrossRef  Google Scholar 

  5. Boyd, D., Golder, S., Lotan, G.: Tweet, tweet, retweet: conversational aspects of retweeting on twitter. In: 43rd HICCS, pp. 1–10. IEEE (2010)

    Google Scholar 

  6. Briatte, F., Gallic, E.: Recovering the French party space from Twitter data. In: Sciences Po Quanti Workshop. Paris, France (May 2015)

    Google Scholar 

  7. Cinelli, M., Morales, G.D.F., Galeazzi, A., Quattrociocchi, W., Starnini, M.: The echo chamber effect on social media. PNAS 118(9), e2023301118 (2021)

    CrossRef  Google Scholar 

  8. Conover, M., Ratkiewicz, J., Francisco, M., Gonçalves, B., Flammini, A., Menczer, F.: Political polarization on twitter. In: AAAI 5th ICWSM, pp. 89–96 (2011)

    Google Scholar 

  9. Entman, R.M.: Framing: toward clarification of a fractured paradigm. J. Commun. 43(4), 51–58 (1993)

    CrossRef  Google Scholar 

  10. Garimella, K., De Francisci Morales, G., Gionis, A., Mathioudakis, M.: Quantifying controversy in social media. In: Proceedings of the 9th WSDM, pp. 33–42. ACM (2016)

    Google Scholar 

  11. Garimella, K., Gionis, A., Morales, G.D.F., Mathioudakis, M.: Political discourse on social media: echo chambers, gatekeepers, and the price of bipartisanship. In: Proceedings of the WWW 2018 Intl Conf World Wide Web, pp. 913–922. ACM (2018)

    Google Scholar 

  12. Garimella, K., Weber, I., De Choudhury, M.: Quote RTs on twitter: usage of the new feature for political discourse. In: 8th ACM Web Science, pp. 200–204 (2016)

    Google Scholar 

  13. Glaser, B.G., Strauss, A.L.: The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine, Chicago (1967)

    Google Scholar 

  14. Goel, S., Anderson, A., Hofman, J., Watts, D.J.: The structural virality of online diffusion. Manage. Sci. 62(1), 180–196 (2016)

    Google Scholar 

  15. Guerra, P., Nalon, R., Assunçao, R., Meira Jr, W.: Antagonism also flows through retweets: the impact of out-of-context quotes in opinion polarization analysis. In: Proceedings of the AAAI 11th ICWSM (2017)

    Google Scholar 

  16. Himelboim, I., McCreery, S., Smith, M.: Birds of a feather tweet together: integrating network and content analyses to examine cross-ideology exposure on twitter. J. Comput.-Mediat. Commun. 18(2), 154–174 (2013)

    CrossRef  Google Scholar 

  17. Kaiser, J., Puschmann, C.: Alliance of antagonism: counterpublics and polarization in online climate change communication. Comm. Public 2, 371–387 (2017)

    CrossRef  Google Scholar 

  18. Kwak, H., Lee, C., Park, H., Moon, S.: What is twitter, a social network or a news media? In: 19th International Conference World Wide Web WWW 2010, pp. 591–600. ACM (2010)

    Google Scholar 

  19. Lev-On, A., Manin, B.: Happy accidents: deliberation and online exposure to opposing views. In: Davies, T., Gangadharan, S.P. (eds.) Online Deliberation: Design, Research, and Practice, Chap. 7, pp. 105–122. University of Chicago Press (2009)

    Google Scholar 

  20. Lietz, H., Wagner, C., Bleier, A., Strohmaier, M.: When politicians talk: assessing online conversational practices of political parties on twitter. In: Proceedings of the ICWSM 8th IInternational Conference Weblogs and Social Media, pp. 285–294. AAAI (2014)

    Google Scholar 

  21. Morales, G.D.F., Monti, C., Starnini, M.: No echo in the chambers of political interactions on reddit. Sci. Rep. 11(1), 1–12 (2021)

    CrossRef  Google Scholar 

  22. Poole, K.T.: Spatial Models of Parliamentary Voting. Cambridge (2005)

    Google Scholar 

  23. Roth, C., Cointet, J.P.: Social and semantic coevolution in knowledge networks. Soc. Netw. 32(1), 16–29 (2010)

    CrossRef  Google Scholar 

  24. Schifanella, R., Barrat, A., Cattuto, C., Markines, B., Menczer, F.: Folks in folksonomies: social link prediction from shared metadata. In: Proceedings of the WSDM Web Search Data Mining, pp. 271–280. ACM (2010)

    Google Scholar 

  25. Vaccari, C., Valeriani, A., Barberá, P., Bonneau, R., Jost, J., Nagler, J., Tucker, J.: Of echo chambers and contrarian clubs. Soc. Media Soc. 2(3), 1–24 (2016)

    Google Scholar 

  26. Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online. Science 359(6380), 1146–1151 (2018)

    CrossRef  Google Scholar 

  27. Wu, S., Resnick, P.: Cross-partisan discussions on YouTube. In: Proceedings of the AAAI ICWSM 15th International Conference Weblogs and Social Media, pp. 808–819 (2021)

    Google Scholar 

Download references

Acknowledgments

We are grateful to Telmo Menezes and Katharina Tittel for contributing to define the user perimeter and subsequently collect Twitter data. This work was supported by the “Socsemics” Consolidator grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 772743)

Author information

Authors and Affiliations

  1. Computational Social Science Team, Centre Marc Bloch (CNRS/Humboldt Universität), Friedrichstr. 191, 10117, Berlin, Germany

    Camille Roth, Jonathan St-Onge & Katrin Herms

Authors
  1. Camille Roth
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jonathan St-Onge
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Katrin Herms
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Camille Roth .

Editor information

Editors and Affiliations

  1. Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid, Madrid, Spain

    Prof. Rosa Maria Benito

  2. IUT Lumière, University of Lyon, Bron Cedex, France

    Prof. Chantal Cherifi

  3. LIB, UFR Sciences et Techniques, University of Burgundy, Dijon, France

    Prof. Hocine Cherifi

  4. Grupo Interdisciplinar de Sistemas Complejos, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Prof. Esteban Moro

  5. Thomas J. Watson College of Engineering and Applied Science, Binghamton University, Binghamton, USA

    Prof. Luis M. Rocha

  6. Department of Chemical Engineering, Universitat Rovira i Virgili, Tarragona, Tarragona, Spain

    Prof. Marta Sales-Pardo

Rights and permissions

Reprints and Permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Roth, C., St-Onge, J., Herms, K. (2022). Quoting is not Citing: Disentangling Affiliation and Interaction on Twitter. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications X. COMPLEX NETWORKS 2021. Studies in Computational Intelligence, vol 1015. Springer, Cham. https://doi.org/10.1007/978-3-030-93409-5_58

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-93409-5_58

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93408-8

  • Online ISBN: 978-3-030-93409-5

  • eBook Packages: EngineeringEngineering (R0)