Inequality in Posting Behaviour Over Time

A study of Danish Facebook users

Open access


This study investigates the Facebook posting behaviour of 922 posting users over a time span of seven years (from 2007 to 2014), using an innovative combination of survey data and private profile feed post counts obtained through the Facebook Application Programming Interface (API) prior to the changes in 2015. A digital inequality lens is applied to study the effect of socio-demographic characteristics as well as time on posting behaviour. The findings indicate differences, for example in terms of gender and age, but some of this inequality is becoming smaller over time. The data set also shows inequality in the poster ratio in different age groups. Across all the demographic groups, the results show an increase in posting frequency in the time period observed, and limited evidence is found that young age groups have posted less on Facebook in more recent years.

Baker, R., Blumberg, S. J., Brick, J. M., Couper, M. P., Courtright, M., Dennis, J. M., … Zahs, D. (2010). AAPOR report on online panels. Public Opinion Quarterly, 74(4): 711-781.

Baumer, E. P. S., Adams, P., Khovanskaya, V. D., Liao, T. C., Smith, M. E., Schwanda Sosik, V. & Williams, K. (2013). Limiting, leaving, and (re)lapsing: An exploration of Facebook non-use practices and experiences. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 3257-3266). New York, NY: ACM.

Bechmann, A. (2014). Non-informed consent cultures: Privacy policies and app contracts on Facebook. Journal of Media Business Studies, 11(1): 21-38.

Bechmann, A. (2015). Managing the interoperable self. In The ubiquitous Internet: User and industry perspectives. New York: Routledge. Retrieved from

Bechmann, A. (2019). Data as humans: Representation, accountability, and equality in big data and machine learning. In Power and rights in the online domain. Cambridge, MA: MIT Press.

Bechmann, A. & Lomborg, S. (2013). Mapping actor roles in social media: Different perspectives on value creation in theories of user participation. New Media & Society, 15(5): 765-781.

Bechmann, A. & Vahlstrup, P. B. (2015). Studying Facebook and Instagram data: The Digital Footprints software. First Monday, 20(12): 1-13.

Bernstein, M. S., Bakshy, E., Burke, M. & Karrer, B. (2013). Quantifying the invisible audience in social networks. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 21-30). New York, NY: ACM.

Blank, G. (2013). Who creates content? Information, Communication & Society, 16(4): 590-612.

Blank, G. (2017). The digital divide among Twitter users and its implications for social research. Social Science Computer Review, 35(6): 679-697.

Blank, G. & Lutz, C. (2017). Representativeness of social media in Great Britain: Investigating Facebook, LinkedIn, Twitter, Pinterest, Google+, and Instagram. American Behavioral Scientist, 61(7): 741-756.

Bowker, G. C. (2014). Big data, big questions: The theory/data thing. International Journal of Communication, 8(0): 5.

Bruns, A., Bechmann, A., Burgess, J., Chadwick, A., Clark, L. S., Dutton, W. H., … Zimmer, M. (2018). Facebook shuts the gate after the horse has bolted, and hurts real research in the process. Internet Policy Review. Retrieved from

Burke, M., Marlow, C. & Lento, T. (2010). Social network activity and social well-being. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1909-1912). New York, NY: ACM.

Cameron, A. C. & Trivedi, P. K. (2010). Microeconometrics using Stata: Revised edition (2nd edition). College Station, TX: Stata Press.

Correa, T. (2010). The participation divide among “online experts”: Experience, skills and psychological factors as predictors of college students’ web content creation. Journal of Computer-Mediated Communication, 16(1): 71-92.

Deursen, A. J. A. M. van & Dijk, J. A. G. M. van. (2015). Internet skill levels increase, but gaps widen: A longitudinal cross-sectional analysis (2010-2013) among the Dutch population. Information, Communication & Society, 18(7): 782-797.

Ertiö, T., Kukkonen, I. & Räsänen, P. (2018). Social media activities in Finland: A population-level comparison. Convergence,

Hallin, D. C. & Mancini, P. (2004). Comparing media systems: Three models of media and politics. Cambridge, UK: Cambridge University Press.

Hargittai, E. (2007). Whose space? Differences among users and non-users of social network sites. Journal of Computer-Mediated Communication, 13(1): 276-297.

Hargittai, E. (2015). Is bigger always better? Potential biases of big data derived from social network sites. ANNALS of the American Academy of Political and Social Science, 659(1): 63-76.

Hargittai, E. & Walejko, G. (2008). The participation divide: Content creation and sharing in the digital age. Information Communication and Society, 11(2): 239-256.

Hausmann, R., Tyson, L. D. & Zahidi, S. (2012). The global gender gap report 2012. Geneva: World Economic Forum.

Hoffmann, C. P., Lutz, C. & Meckel, M. (2015). Content creation on the Internet: A social cognitive perspective on the participation divide. Information, Communication & Society, 18(6): 696-716.

Junco, R. (2013). Comparing actual and self-reported measures of Facebook use. Computers in Human Behavior, 29(3): 626-631.

Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. London: Sage.

Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A. & Christakis, N. (2008). Tastes, ties, and time: A new social network dataset using Social Networks, 30(4): 330-342.

Lomborg, S. & Bechmann, A. (2014). Using APIs for data collection on social media. The Information Society, 30(4): 256-265.

Lutz, C. (2016). A social milieu approach to the online participation divides in Germany. Social Media + Society, 2(1) :

Lutz, C., Hoffmann, C. P. & Meckel, M. (2014). Beyond just politics: A systematic literature review of online participation. First Monday, 19(7).

Marwick, A. E. & bBoyd, Danah. (2014). Networked privacy: How teenagers negotiate context in social media. New Media & Society, 16(7): 1051-1067.

McAndrew, F. T. & Jeong, H. S. (2012). Who does what on Facebook? Age, sex, and relationship status as predictors of Facebook use. Computers in Human Behavior, 28(6): 2359-2365.

Nonnecke, B. & Preece, J. (2000). Lurker demographics: Counting the silent. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 73-80). New York, NY: ACM.

Scheufele, D. A. (1999). Framing as a theory of media effects. Journal of Communication, 49(1): 103-122.

Schradie, J. (2011). The digital production gap: The digital divide and Web 2.0 collide. Poetics, 39(2): 145-168.

Schradie, J. (2013). Big data not big enough? How the digital divide leaves people out. Retrieved from [Accessed 2018, November 8].

Van Dijk, J. A. G. M. (2006). Digital divide research, achievements and shortcomings. Poetics, 34(4): 221-235.

Wijas-Jensen, J. (2014). It-anvendelse i befolkningen 2014. Copenhagen: Statistics Denmark. Retrieved from

Young, K. (2011). Social ties, social networks and the Facebook experience. Australian Journal of Emerging Technologies and Society, 9: 20-34.

Nordicom Review

Journal from the Nordic Information Centre for Media and Communication Research (Nordicom)

Journal Information

CiteScore 2018: 0.54

SCImago Journal Rank (SJR) 2018: 0.223
Source Normalized Impact per Paper (SNIP) 2018: 0.270


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