{"id":58583,"date":"2022-06-07T11:16:20","date_gmt":"2022-06-07T18:16:20","guid":{"rendered":"https:\/\/energi.media\/?p=58583"},"modified":"2022-06-07T11:16:20","modified_gmt":"2022-06-07T18:16:20","slug":"canadians-not-so-polarized-on-energy-policy-according-to-new-ai-social-media-tool","status":"publish","type":"post","link":"https:\/\/energi.media\/news\/canadians-not-so-polarized-on-energy-policy-according-to-new-ai-social-media-tool\/","title":{"rendered":"Canadians not so polarized on energy policy according to new AI social media tool"},"content":{"rendered":"

This article was published by Folio<\/a> on May 26, 2022.<\/em><\/p>\n

By Donna McKinnon<\/strong><\/em><\/p>\n

A new AI-powered social media tool is showing that Canadians aren\u2019t as polarized about energy policy and transition as we might imagine.<\/p>\n

Developed by University of Alberta engineering professor\u00a0Lianne Lefsrud<\/a>\u00a0and an interdisciplinary team of researchers,\u00a0Ai4Buzz<\/a>\u00a0uses targeted keywords to harvest, aggregate and examine Twitter conversations about energy and energy policies.<\/p>\n

Organized by category into a series of visualizations, the data illuminate how Canadians are thinking and talking about energy at the local and national levels \u2014 and how we can start to understand each other\u2019s positions, Lefsrud says.<\/p>\n

Surprising consensus<\/h3>\n

\u201cThere\u2019s actually a striking amount of broad-based consensus around energy,\u201d notes Lefsrud, who worked with U of A colleagues\u00a0Eleni Stroulia<\/a>\u00a0and\u00a0Denilson Barbosa<\/a>\u00a0in the\u00a0Department of Computing Science<\/a>\u00a0and Joel Gehman in the\u00a0Alberta School of Business<\/a>\u00a0to create the AI tool. \u201cIf we can begin to understand these conversations, how can we then help to build and develop solutions-based consensus policies with regard to greenhouse gas emissions, reduction and energy transformation?\u201d<\/p>\n

Canada is facing a number of challenges when it comes to energy policy discussions, particularly in terms of effective risk communication, explains Lefsrud, which is fundamental to the understanding and progression of fossil fuel and sustainable energy policy development. Projects have been stymied by the inability of policy makers to find common ground on these issues, hampered further by the erosion of public trust in government, business and media.<\/p>\n

Traditional polls and other forms of public opinion sampling are \u201cmethodological and temporal artifacts\u201d that don\u2019t capture underlying data that may be far more illuminating and potentially more transformative, Lefsrud says. Ai4Buzz fills this gap.<\/p>\n

\u201cPipelines are related to climate change, but they’re also related to water, to hydraulic fracturing, to oil sands, to coal, and so on,\u201d she explains. \u201cIt\u2019s these interactions that allow us to start to understand the relationships between them. It\u2019s not just a single question and a bunch of right answer categories. Ai4Buzz allows us to continue to understand evolving conversations. This is good news, because it allows us to think about our common ground and what we can do with it.\u201d<\/p>\n

Twitter isn\u2019t a bubble<\/h3>\n

Social media platforms are public venues where many of these conversations about issues of public interest take place. When Twitter made its API accessible to researchers, the team was able to \u201cdrink from the firehose\u201d of all the tweets that mentioned their keywords.<\/p>\n

And though some of the dialogue may be inflamed by influencers at both ends of the political spectrum, the Ai4Buzz research shows that most online conversations are far more nuanced and measured, linked by shared meaning and common values rather than the oppositional narrative hyped by popular media.<\/p>\n

As Lefsrud explains, our positions toward energy policies in general don\u2019t matter as much as the potential to have a \u201cvibing\u201d conversation, using a shared vocabulary of words that emotionally resonate with us.<\/p>\n

\u201cTwitter isn’t a bubble,\u201d she says. \u201cIt\u2019s not just a simple microcosm of conversations that are not representative of the Canadian population. Yes, there are demographic differences across channels, but research also shows it can be seen as a signal, and if you can understand what’s going on in these conversations, then you can see how it relates to and affects broader media conversations and broader individual and organizational behaviour. We’re making those linkages.\u201d<\/p>\n

Lefsrud says the objective is to draw these narratives together to support policy conversations that aim for solutions. For instance, a policy maker could use Ai4Buzz to get instant feedback on an announcement or policy decision, rather than having to do a focus group or survey. Visualizations of the data may reveal values expressed over a period of time, such as \u201cachievement,\u201d \u201cself-restraint\u201d or \u201ccompetence,\u201d as well as the types of conversations people are having about the policy announcement relative to other conversations.<\/p>\n

\u201cIt\u2019s an unfolding experiment,\u201d says Lefsrud. \u201cOur primary goal is to generate buzz \u2014 make this data available to everyone, be super transparent in how we\u2019ve analyzed it and then make it accessible and inclusive. We are taking feedback from our users about other visualizations they want to see. There’s a real appetite for it. Let’s have some positive, interesting and exciting conversations about energy.\u201d<\/p>\n

Ai4Buzz is supported by the U of A signature area\u00a0AI4Society<\/a>, the\u00a0Kule Institute for Advanced Study<\/a>, the\u00a0Mitacs Accelerate Program<\/a>, the\u00a0Canadian Energy and Climate Nexus<\/a>\u00a0and\u00a0ISAIC<\/a>.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

This article was published by Folio on May 26, 2022. By Donna McKinnon A new AI-powered social media tool is showing that Canadians aren\u2019t as polarized about energy policy and transition as we might imagine. 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