Following the 2016 U.S. presidential election, many have expressed concern about the effects of false stories (“fake news”), circulated largely through social media. We discuss the economics of fake news and present new data on its consumption prior to the election. Drawing on web browsing data, archives of fact-checking websites, and results from a new online survey, we find: (i) social media was an important but not dominant source of election news, with 14 percent of Americans calling social media their “most important” source; (ii) of the known false news stories that appeared in the three months before the election, those favoring Trump were shared a total of 30 million times on Facebook, while those favoring Clinton were shared 8 million times; (iii) the average American adult saw on the order of one or perhaps several fake news stories in the months around the election, with just over half of those who recalled seeing them believing them; and (iv) people are much more likely to believe stories that favor their preferred candidate, especially if they have ideologically segregated social media networks.

/pdf/social-media-and-fake-news-in-the-2016-election-1m4ttkb5mo.pdf

Social Media and Fake News in the 2016 Election

Recording of presentation introducing narrative analysis, outlining what it is, why it can be a useful approach, how to do it and where to find out more. Presentation given at methods@manchester seminar at University of Manchester on 4 March 2010.

What is Narrative Analysis

▶ Addresses a wide range of timely environment, economic and energy topics ▶ A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales ▶ Contributes to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated ▶ 94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Mitigation and Adaptation Strategies for Global Change

/pdf/research-design-qualitative-quantitative-and-mixed-methods-1m92m1x5gg.pdf

Research Design: Qualitative, Quantitative, and Mixed Methods Approaches

Framework Convention on Climate Change

The recent emergence of online social media has had a significant effect on the contemporary political landscape, yet our understanding of this remains less than complete. This article adds to current understanding of the online engagement between politicians and the public by presenting the first quantitative analysis of the utilisation of the social network tool Twitter by Australian politicians. The analysis suggests that politicians are attempting to use Twitter for political engagement, though some are more successful in this than others. Politicians are noisier than Australians in general on Twitter, though this is due more to broadcasting than conversing. Those who use Twitter to converse appear to gain more political benefit from the platform than others. Though politicians cluster by party, a relatively ‘small world’ network is evident in the Australian political discussion on Twitter.

/pdf/digital-dialogue-australian-politicians-use-of-the-social-42yljwg3t3.pdf

Digital Dialogue? Australian politicians' use of the social network tool Twitter

YouTube has become one of the largest websites on the Internet. Among its many genres, both professional and amateur science communicators compete for audience attention. This article provides the first overview of science communication on YouTube and examines content factors that affect the popularity of science communication videos on the site. A content analysis of 390 videos from 39 YouTube channels was conducted. Although professionally generated content is superior in number, user-generated content was significantly more popular. Furthermore, videos that had consistent science communicators were more popular than those without a regular communicator. This study represents an important first step to understand content factors, which increases the channel and video popularity of science communication on YouTube.

https://openresearch-repository.anu.edu.au/bitstream/1885/107245/2/01%20Dustin%20and%20Grant%20Science%20communication%20on%202016.pdf

Science communication on YouTube: factors that affect channel and video popularity

YouTube has become the second most popular web search engine (see Alexa.com ) and the primary website for individuals and organisations to freely distribute video content. Popularity statistics indicate that Science, Technology, Engineering and Mathematics-related content is of significant interest to YouTube audiences, yet analysis of the 391 most popular science, engineering and mathematics-themed channels reveals a conspicuous absence of female communicators, with the hosts of just 32 of these channels presenting as female. To help understand potential causes of this gap, analysis was conducted on popularity indicators and audience sentiments of 450 videos from 90 Science, Technology, Engineering and Mathematics-related channels. Female hosted channels were found to accumulate more comments per view, and significantly higher proportions of appearance, hostile, critical/negative and sexist/sexual commentary.

https://journals.sagepub.com/doi/pdf/10.1177/0963662518786654

Exploring the YouTube science communication gender gap: A sentiment analysis.

“THE RUSSIANS ARE HACKING MY BRAIN!” investigating Russia's internet research agency twitter tactics during the 2016 United States presidential campaign

People’s attitudes about Anthropogenic Climate Change (ACC) risks are not only influenced by scientific data, such as the likelihood of harm, the consequences of failing to act and the cost and eff...

Will J. Grant

Papers

Digital Dialogue? Australian politicians' use of the social network tool Twitter

Science communication on YouTube: factors that affect channel and video popularity

Exploring the YouTube science communication gender gap: A sentiment analysis.

“THE RUSSIANS ARE HACKING MY BRAIN!” investigating Russia's internet research agency twitter tactics during the 2016 United States presidential campaign

I’ll See It When I Believe It: Motivated Numeracy in Perceptions of Climate Change Risk*