Snurb — Monday 11 September 2017 11:25

Future of Journalism 2017

Echo Chamber? What Echo Chamber? Reviewing the Evidence

Axel Bruns

15 Sep. 2017 – Future of Journalism conference, Sydney

Echo Chamber? What Echo Chamber? Reviewing the Evidence from Axel Bruns

Abstract

The success of political movements that appear to be immune to any factual evidence that contradicts their claims – from the Brexiteers to the ‘alt-right’, neo-fascist groups supporting Donald Trump – has reinvigorated claims that social media spaces constitute so-called ‘filter bubbles’ or ‘echo chambers’ (e.g. Pariser 2011). But while such claims may appear intuitively true to politicians and journalists – who have themselves been accused of living in filter bubbles (Bradshaw 2016) –, the evidence that ordinary users experience their everyday social media environments as echo chambers is far more limited.

For instance, a 2016 Pew Center study has shown that only 23% of U.S. users on Facebook and 17% on Twitter now say with confidence that most of their contacts’ views are similar to their own. 20% have changed their minds about a political or social issue because of interactions on social media (Duggan and Smith 2016). Similarly, large-scale studies of follower and interaction networks on Twitter (e.g. Bruns et al., 2014) show that national Twitterspheres are often thoroughly interconnected and facilitate the flow of information across boundaries of personal ideology and interest, except for a few especially hardcore partisan communities.

Building on new, comprehensive data from a project that maps and tracks interactions between 4 million accounts in the Australian Twittersphere, this paper explores in detail the evidence for the existence of echo chambers in that country. It thereby moves the present debate beyond a merely anecdotal footing, and offers a more reliable assessment of the ‘echo chamber’ threat.

Full paper available here.

References

Bradshaw, Paul. 2016. “Don’t Blame Facebook for Your Own Filter Bubble.” Online Journalism Blog. 28 June 2016. https://onlinejournalismblog.com/2016/06/28/dont-blame-facebook-for-your-own-filter-bubble/.

Bruns, Axel, Jean Burgess, and Tim Highfield. 2014. “A ‘Big Data’ Approach to Mapping the Australian Twittersphere.” In Paul L. Arthur and Katherine Bode (eds.), Advancing Digital Humanities: Research, Methods, Theories (pp. 113–129). Houndmills: Palgrave Macmillan.

Duggan, Maeve, and Aaron Smith. 2016. “The Political Environment on Social Media.” Washington, DC: Pew Research Center. http://assets.pewresearch.org/wp-content/uploads/sites/14/2016/10/24160747/PI_2016.10.25_Politics-and-Social-Media_FINAL.pdf.

Pariser, Eli. 2011. The Filter Bubble: What the Internet Is Hiding from You. London: Penguin.