Elizabeth Dubois
University of Ottawa
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Featured researches published by Elizabeth Dubois.
Information, Communication & Society | 2018
Elizabeth Dubois; Grant Blank
ABSTRACT In a high-choice media environment, there are fears that individuals will select media and content that reinforce their existing beliefs and lead to segregation based on interest and/or partisanship. This could lead to partisan echo chambers among those who are politically interested and could contribute to a growing gap in knowledge between those who are politically interested and those who are not. However, the high-choice environment also allows individuals, including those who are politically interested, to consume a wide variety of media, which could lead them to more diverse content and perspectives. This study examines the relationship between political interest as well as media diversity and being caught in an echo chamber (measured by five different variables). Using a nationally representative survey of adult internet users in the United Kingdom (Nu2009=u20092000), we find that those who are interested in politics and those with diverse media diets tend to avoid echo chambers. This work challenges the impact of echo chambers and tempers fears of partisan segregation since only a small segment of the population are likely to find themselves in an echo chamber. We argue that single media studies and studies which use narrow definitions and measurements of being in an echo chamber are flawed because they do not test the theory in the realistic context of a multiple media environment.
Social Science Computer Review | 2018
Elizabeth Dubois; Anatoliy Gruzd; Jenna Jacobson
Journalists increasingly use social media data to infer and report public opinion by quoting social media posts, identifying trending topics, and reporting general sentiment. In contrast to traditional approaches of inferring public opinion, citizens are often unaware of how their publicly available social media data are being used and how public opinion is constructed using social media analytics. In this exploratory study based on a census-weighted online survey of Canadian adults (N = 1,500), we examine citizens’ perceptions of journalistic use of social media data. We demonstrate that (1) people find it more appropriate for journalists to use aggregate social media data rather than personally identifiable data, (2) people who use more social media are more likely to positively perceive journalistic use of social media data to infer public opinion, and (3) the frequency of political posting is positively related to acceptance of this emerging journalistic practice, which suggests some citizens want to be heard publicly on social media while others do not. We provide recommendations for journalists on the ethical use of social media data and social media platforms on opt-in functionality.
Social Science Research Network | 2017
William H. Dutton; Bianca Christin Reisdorf; Elizabeth Dubois; Grant Blank
Global debate over the impact that algorithms and search on shaping political opinions has been increasing in the aftermath of controversial election results in Europe and the US. Powerful images of the Internet enabling access to a global treasure trove of information have shifted to worries over the degree to which those who use social media, and online tools such as search engines, are being fed inaccurate, fake, or politically-targeted information that could distort public opinion and political change. There are serious questions raised over the political implication of any biases embedded in the algorithms that drive search engines and social media. Do digital media biases shape access to information shaping public opinion? To address these issues, we conducted an online survey of stratified random samples in seven nations, including Britain, France, Germany, Italy, Poland, Spain, and the US. We asked Internet users how they use search, social media, and other media, for political information, and what difference it makes for them. The findings cast doubt on technologically deterministic perspectives on search, such as filter bubbles. For example, our findings show that search is among an array of media consulted by those interested in politics. Internet users are not trapped in a bubble on a single platform. Another deterministic narrative is around the concept of echo chambers, where social media enable users to cocoon themselves with likeminded people and viewpoints. However, most of those interested in politics search for and double check problematic political information, and expose themselves to a variety of viewpoints. Thus, prevailing views on search and politics not only over-estimate technical determinants, but also underestimate the social shaping of the Internet, social media, and search. National media cultures and systems play an important role in shaping search practices, along with individual differences in political and Internet orientations. The findings suggest there are disproportionate levels of concern, often approaching panic, over the bias of search and social media, and that targeted interventions could help reduce the risks associated with fake news, filter bubbles, and echo chambers.
Archive | 2016
Anatoliy Gruzd; Jenna Jacobson; Elizabeth Dubois
The growing availability of social media has afforded researchers the ability to conduct large-scale research projects using social media data. Social media platforms will come and go, but what is constant is the fact that in order to foster the sharing of data and encourage research innovation, there is a pressing need for the research community to develop a strong set of data stewardship principles, standards, and protocols around social media data preservation. The hackathon will bring overlapping research communities of Information scholars together to identify the major challenges, opportunities, and possible interventions to address the preservation and storage of social media data.
Archive | 2014
Grant Blank; Gillian Bolsover; Elizabeth Dubois
Archive | 2015
Elizabeth Dubois; Heather Ford
Archive | 2018
Anatoliy Gruzd; Jenna Jacobson; Philip Mai; Elizabeth Dubois
Archive | 2016
Heather Ford; Elizabeth Dubois; C Puschmann
americas conference on information systems | 2017
Anatoliy Gruzd; Jenna Jacobson; Elizabeth Dubois
Social Science Research Network | 2017
William H. Dutton; Bianca Christin Reisdorf; Elizabeth Dubois; Grant Blank