Skip to main content

Political Conversations as Civic Engagement: Examining Patterns from Mobile Communication Logs in Japan

  • Chapter
  • First Online:

Abstract

Political conversation is regarded as an important form of political participation and civic engagement. Although significant differences have been found in the level of political conversation between countries, studies on political conversation in Japan are scarce. In this study, we investigated political conversation between people, considering the kinds of dyads in personal networks in Japan and how partners are selected. We pursued an exploratory analysis of the features of dyads in political conversation through mobile communication logs, comparing those in Japan and the US. For both countries, the results show that discussion of important topics and the number of voice calls in the afternoon was significant predictors of political conversations. In Japan, discussing with other people and family were more significant predictors than for the US. These results may have important implications for clarifying the extent to which political conversations take place, with whom, and how they occur as a by-product of other topics.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    In this study, we used multiple datasets. There is a small difference in the rules for delivering an on-screen survey between the datasets. In the JP3 dataset, which is described below, on-screen surveys could be sent more than once a day.

  2. 2.

    However, the presurvey items in JP3 differed from those in the other datasets, so as described below, we conducted two analyses using two models which used different data: model 1 with presurvey items excluded, and model 2, which used all items, including presurvey items.

  3. 3.

    This was replaced by the name of the subject registered in the address book. The name of the subject was not logged on the research server, this replacement was reproduced on their devises.

  4. 4.

    To construct a more parsimonious and robust model, Friedman et al. (2010) recommended the use of λ with the largest value such that the estimation error is within one standard error of the minimum value.

References

  • Bennett, S. E., Flickinger, R. S., & Rhine, S. L. (2000). Political talk over here, over there, over time. British Journal of Political Science, 30(01), 99–119.

    Article  Google Scholar 

  • Dunbar, R., & Dunbar, R. I. M. (1998). Grooming, gossip, and the evolution of language. Cambridge: Harvard University Press.

    Google Scholar 

  • Dylko, I. B. (2010). An examination of methodological and theoretical problems arising from the use of political participation indexes in political communication research. International Journal of Public Opinion Research, 22(4), 523–534.

    Article  Google Scholar 

  • Eliasoph, N. (1998). Avoiding politics: How Americans produce apathy in everyday life. Cambridge/New York: Cambridge University Press.

    Book  Google Scholar 

  • Ellwardt, L., Steglich, C., & Wittek, R. (2012). The co-evolution of gossip and friendship in workplace social networks. Social Networks, 34(4), 623–633.

    Article  Google Scholar 

  • Eveland, W. P., Jr., & Hively, M. H. (2009). Political discussion frequency, network size, and “heterogeneity” of discussion as predictors of political knowledge and participation. Journal of Communication, 59(2), 205–224.

    Article  Google Scholar 

  • Eveland, W. P., Jr., & Kleinman, S. B. (2013). Comparing general and political discussion networks within voluntary organizations using social network analysis. Political Behavior, 35(1), 65–87.

    Article  Google Scholar 

  • Eveland, W. P., Jr., Hayes, A. F., Shah, D. V., & Kwak, N. (2005). Understanding the relationship between communication and political knowledge: A model comparison approach using panel data. Political Communication, 22(4), 423–446.

    Article  Google Scholar 

  • Eveland, W. P., Jr., Morey, A. C., & Hutchens, M. J. (2011). Beyond deliberation: New directions for the study of informal political conversation from a communication perspective. Journal of Communication, 61(6), 1082–1103.

    Article  Google Scholar 

  • Feinberg, M., Willer, R., Stellar, J., & Keltner, D. (2012). The virtues of gossip: Reputational information sharing as prosocial behavior. Journal of Personality and Social Psychology, 102(5), 1015–1030.

    Article  Google Scholar 

  • Flom, P. L., & Cassell, D. L. (2009). Stopping stepwise: Why stepwise and similar selection methods are bad, and what you should use. In Proceedings of NorthEast SAS Users Group 2009 Conference, SA01.

    Google Scholar 

  • Foster, E. K. (2004). Research on gossip: Taxonomy, methods, and future directions. Review of General Psychology, 8(2), 78–99.

    Google Scholar 

  • Friedman, J., Hastie, T., & Tibshirani, R. (2010). Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1), 1.

    Article  Google Scholar 

  • Gerber, A. S., Huber, G. A., Doherty, D., & Dowling, C. M. (2012). Disagreement and the avoidance of political discussion: Aggregate relationships and differences across personality traits. American Journal of Political Science, 56(4), 849–874.

    Article  Google Scholar 

  • Grosser, T. J., Lopez-Kidwell, V., & Labianca, G. (2010). A social network analysis of positive and negative gossip in organizational life. Group and Organization Management, 35(2), 177–212.

    Article  Google Scholar 

  • Hammami, D., Lee, T. S., Ouarda, T. B., & Lee, J. (2012). Predictor selection for downscaling GCM data with LASSO. Journal of Geophysical Research, [Atmospheres], 117(D17), D17116.

    Google Scholar 

  • Huckfeldt, R. R., & Sprague, J. (1995). Citizens, politics and social communication: Information and influence in an election campaign. Cambridge/New York: Cambridge University Press.

    Book  Google Scholar 

  • Huckfeldt, R., Beck, P. A., Dalton, R. J., & Levine, J. (1995). Political environments, cohesive social groups, and the communication of public opinion. American Journal of Political Science, 39(4), 1025–1054.

    Article  Google Scholar 

  • Huckfeldt, R., Ikeda, K. I., & Pappi, F. U. (2005). Patterns of disagreement in democratic politics: Comparing Germany, Japan, and the United States. American Journal of Political Science, 49(3), 497–514.

    Article  Google Scholar 

  • Ikeda, K. (2005). The creation of social capital and political reality from political & non-political social networks: Using the social networks module on the Japanese general social survey. JGSS research series 4(JGSS Research Series No.1), 169–203 [in Japanese].

    Google Scholar 

  • Ikeda, K. I., & Boase, J. (2011). Multiple discussion networks and their consequence for political participation. Communication Research, 38(5), 660–683.

    Article  Google Scholar 

  • James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning. New York: Springer.

    Book  Google Scholar 

  • Johnston, R., & Pattie, C. (2006). Putting voters in their place: Geography and elections in great Britain: Geography and elections in great Britain. London/New York: OUP Oxford.

    Book  Google Scholar 

  • Katz, E., & Lazarsfeld, P. F. (1955). Personal influence: The part played by people in the flow of mass communications. New York: Transaction Publishers.

    Google Scholar 

  • Klapper, J. T. (1960). The effects of mass communication. Glencoe: The Free Press.

    Google Scholar 

  • Klofstad, C. A. (2007). Talk leads to recruitment how discussions about politics and current events increase civic participation. Political Research Quarterly, 60(2), 180–191.

    Article  Google Scholar 

  • Klofstad, C. A., McClurg, S. D., & Rolfe, M. (2009). Measurement of political discussion networks a comparison of two “name generator” procedures. Public Opinion Quarterly, 73(3), 462–483.

    Article  Google Scholar 

  • Kobayashi, T., & Boase, J. (2012). No such effect? The implications of measurement error in self-report measures of mobile communication use. Communication Methods and Measures, 6(2), 126–143.

    Article  Google Scholar 

  • Kwak, N., Williams, A. E., Wang, X., & Lee, H. (2005). Talking politics and engaging politics: An examination of the interactive relationships between structural features of political talk and discussion engagement. Communication Research, 32(1), 87–111.

    Article  Google Scholar 

  • McClurg, S. D. (2003). Social networks and political participation: The role of social interaction in explaining political participation. Political research quarterly, 56(4), 449–464.

    Article  Google Scholar 

  • Miyata, K., Yasuno, S., & Ichikawa, Y. (2014). The effects of online news on the political process: Direct and indirect effects on political knowledge. Japanese Journal of Social Psychology, 30(1), 21–34 [in Japanese].

    Google Scholar 

  • Mutz, D. C. (2002). Cross-cutting social networks: Testing democratic theory in practice. American Political Science Review, 96(01), 111–126.

    Article  Google Scholar 

  • Noelle-Neumann, E. (1993). The spiral of silence: Public opinion, our social skin (2nd ed.). Chicago: University of Chicago Press.

    Google Scholar 

  • Okamoto, H. (2004). Talking about politics-Is it a taboo? A case study based on the Internet user survey. Chuo Chosa Hou, Central Research Services, 577, 1–6 [in Japanese].

    Google Scholar 

  • Pan, Z., Shen, L., Paek, H. J., & Sun, Y. (2006). Mobilizing political talk in a presidential campaign an examination of campaign effects in a deliberative framework. Communication Research, 33(5), 315–345.

    Article  Google Scholar 

  • Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. New York: Simon & Schuster.

    Book  Google Scholar 

  • Richardson, B. M., & Beck, P. A. (2007). The flow of political information: personal discussants, the media, and partisans. In R. Gunther (Ed.), Democracy, intermediation and voting on four continents (pp. 183–207). Oxford: Oxford University Press.

    Chapter  Google Scholar 

  • Richey, S. (2009). Hierarchy in political discussion. Political Communication, 26(2), 137–152.

    Article  Google Scholar 

  • Richey, S., & Ikeda, K. I. (2006). The influence of political discussion on policy preference: A comparison of the united states and japan. Japanese Journal of Political Science, 7(03), 273–288.

    Article  Google Scholar 

  • Rogers, E. M. (1995). Diffusion of innovations: Modifications of a model for telecommunications. New York: The Free Press.

    Google Scholar 

  • Schmitt‐Beck, R., & Lup, O. (2013). Seeking the soul of democracy: A review of recent research into citizens’ political talk culture. Swiss Political Science Review, 19(4), 513–538.

    Article  Google Scholar 

  • Schudson, M. (1997). Why conversation is not the soul of democracy. Critical Studies in Media Communication, 14(4), 297–309.

    Article  Google Scholar 

  • Tarde, G. (1901). Opinion and the public. Paris: Presses Universitaires de France.

    Google Scholar 

  • Testa, P. F., Hibbing, M. V., & Ritchie, M. (2014). Orientations toward conflict and the conditional effects of political disagreement. The Journal of Politics, 76(03), 770–785.

    Article  Google Scholar 

  • Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological), 58, 267–288.

    Google Scholar 

  • Ulbig, S. G., & Funk, C. L. (1999). Conflict avoidance and political participation. Political Behavior, 21(3), 265–282.

    Article  Google Scholar 

  • Walsh, K. C. (2004). Talking about politics: Informal groups and social identity in American life. Chicago: University of Chicago Press.

    Google Scholar 

  • Wei, R. (2014). Texting, tweeting, and talking: Effects of smartphone use on civic discourse engagement in China. Mobile Media & Communication, 2(1), 3–19.

    Article  Google Scholar 

  • Wyatt, R. O., Katz, E., & Kim, J. (2000). Bridging the spheres: Political and personal conversation in public and private spaces. Journal of Communication, 50(1), 71–92.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takahisa Suzuki .

Editor information

Editors and Affiliations

Appendix: Wording of Survey Items

Appendix: Wording of Survey Items

1.1 Initial On-screen Survey

The initial on-screen survey measured the types of relationship with subjects using the following questions. The question for whether the subject was a family member was: “Is [Subject Name] a family member of yours?” The question for whether a work or school relationship existed was: “Do you know [Subject name] from work or school?” Occurrence of face-to-face conversations was captured by: “Do you talk to [Subject name] face-to-face during a typical day?” The question for trust in the subject was: “Do you trust [Subject name] a lot?” The question for homogeneity was: “Do you and [Subject name] generally share similar opinions?” The question for whether the subject lived within 1 h of travelling time from the respondent was: “Does [Subject name] live more than 1 h away from you?” The question for occurrence of discussions about important topics question was: “Do you discuss important topics with [Subject name]?” The respondent was asked whether he/she enjoyed socializing with the subject by: “Do you enjoy socializing with [Subject name]?” Whether the respondent and subject had many mutual friends was established by asking: “Do you have many mutual friends with [Subject name]?” Respondents responded “yes” or “no” to each question.

1.2 Regular On-screen Survey

The regular on-screen survey asked whether the most recent communication concerned the following topics: “work/school-related topics,” “small talk,” “adjustments to schedules such as messages about rendezvous,” “important topics,” “discussing other people (e.g. recent situation, or rumor),” and “hobby-related topics” using a multiple-choice item.

1.3 Presurvey

The presurvey measured demographics (sex, age, generalized trust), level of participation in organizations or groups, the extent of smartphone use in communications with other members of an formal organization or informal group, whether the smartphone was used for accessing social network services (SNS) , or for work-related purposes. Generalized trust was measured by the items “Most people are trustworthy,” “Most people are trustful of others,” and “Most people are basically good and kind.” The four-point scale for each item ranged from “agree” to “disagree” and the scores were aggregated into one scale (α: JP = 0.81, US = 0.81). To measure level of participation in formal organizations, respondents were asked about their participation in a “Neighborhood Community Association/Block Association,” “PTA,” “Agricultural Cooperative/Trade Body,” “Trade Union,” “Co-op/Consumer Group,” “Volunteer Group,” “Citizens’ Group/Civic Group,” “Religious Group,” “School Alumni Association,” “Political Support Group.” They responded on a three-point scale for each item: “I am an active member,” “I am just a member,” or “I am not a member.” Respondents’ responses were aggregated into one scale (α: JP = 0.72, US = 0.69). To measure the use of smartphones for communicating with other members of formal organizations, respondents responded to the multiple-choice item, “Please check all activities for which you use your smartphone for communicating with other members of your organization” and selected from “For telephone calls,” “To exchange emails or text messages ,” or “To follow on Twitter or communicate on Facebook .” The number of checked items was used in the analyses. The level of participation in informal groups and smartphone use for communicating with other members of informal groups was measured by the same items, with types of organizations replaced with “A private group of coworkers,” “A study or enrichment group,” and “A hobby or peer group” (α: JP = 0.67, US = 0.60 for level of participation in groups).

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Suzuki, T., Kobayashi, T., Boase, J. (2016). Political Conversations as Civic Engagement: Examining Patterns from Mobile Communication Logs in Japan. In: Wei, R. (eds) Mobile Media, Political Participation, and Civic Activism in Asia. Mobile Communication in Asia: Local Insights, Global Implications. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-0917-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-94-024-0917-8_4

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-024-0915-4

  • Online ISBN: 978-94-024-0917-8

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics