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Audience Engagements to the Emotional Contents in Video Ads Produced by the Environmental Advocacy Groups
doi: 10.7273/000005316
YouTube, a website for sharing videos online, is widely popular around the world and is also frequently used as a source of information on science and environmental subjects. For more than fifteen years, climate change advocacy groups have been actively spreading awareness about the issue through social media platforms such as YouTube. They have been creating videos that present up-to-date statistics and information on environmental policies, showcasing their ongoing campaigns, and most significantly, producing advertisements related to climate change. However, only little is known about how the audience perceive these advertisements, what role does emotion play in engaging the audience through views, likes and comments. We specifically wanted to explore the nature of emotional flow in climate change video ads and whether shifts in emotions in the ad content results in greater audience views, likes and comments, in other words, audience engagement. The study's findings indicate that including emotional shifts in advertisements leads to a significantly greater number of views, likes, and comments compared to ads that do not include emotional shifts. Additionally, emotions such as fear, guilt, anger, sorrow, and surprise were identified as crucial factors in effectively engaging audiences through views, likes and comments with climate change ads.
Emotional flow, YouTube, Climate Change, Climate change advocacy, Emotional shifts, Video advertisements
Emotional flow, YouTube, Climate Change, Climate change advocacy, Emotional shifts, Video advertisements
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
