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• W3100650129 abstract "Web platforms have allowed political manifestation and debate for decades. Technology changes have brought new opportunities for expression, and the availability of longitudinal data of these debates entice new questions regarding who participates, and who updates their opinion. The aim of this work is to provide a methodology to measure these phenomena, and to test this methodology on a specific topic, abortion, as observed on one of the most popular micro-blogging platforms. To do so, we followed the discussion on Twitter about abortion in two Spanish-speaking countries from 2015 to 2018. Our main insights are two fold. On the one hand, people adopted new technologies to express their stances, particularly colored variations of heart emojis ([green heart] & [purple heart]) in a way that mirrored physical manifestations on abortion. On the other hand, even on issues with strong opinions, opinions can change, and these changes show differences in demographic groups. These findings imply that debate on the Web embraces new ways of stance adherence, and that changes of opinion can be measured and characterized." @default.
• W3100650129 created "2020-11-23" @default.
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• W3100650129 date "2020-07-06" @default.
• W3100650129 modified "2023-10-18" @default.
• W3100650129 title "Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues" @default.
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• W3100650129 doi "https://doi.org/10.1145/3394231.3397907" @default.
• W3100650129 hasPublicationYear "2020" @default.
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