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Titlebook: Social Informatics; 13th International C Frank Hopfgartner,Kokil Jaidka,Jan Breitsohl Conference proceedings 2022 The Editor(s) (if applica

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樓主: Grant
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發(fā)表于 2025-3-23 12:38:39 | 只看該作者
12#
發(fā)表于 2025-3-23 14:47:55 | 只看該作者
The Side Effect of?ERC-20 Standard in?Social Media Platformseward system could help fight the spread of fake news by giving economic rewards to the users who contribute the most to the growth of the platform. Reddit recently proposed the Reddit Community Points, a rewarding system implemented on top of the Ethereum and Gnosis blockchains. Content creators ca
13#
發(fā)表于 2025-3-23 19:13:21 | 只看該作者
Comparative Analysis of?Engagement, Themes, and?Causality of?Ukraine-Related Debunks and?Disinformat, and favourites, which demonstrate that despite platform efforts Ukraine-related disinformation is still spreading wider than its debunks. Next, bidirectional post-hoc analysis is carried out using Granger causality tests, impulse response analysis and forecast error variance decomposition, which d
14#
發(fā)表于 2025-3-23 23:37:09 | 只看該作者
Polarizing Opinion Dynamics with?Confirmation Bias converging to a consensus, they tend to partition into groups holding diametric opinions. In this work we propose an opinion dynamics model that starts from a given graph topology, and updates in each iteration both the opinions of the agents, and the . structure of each agent, assuming there is co
15#
發(fā)表于 2025-3-24 05:50:33 | 只看該作者
Harnessing Unsupervised Word Translation to?Address Resource Inequality for?Peace and?Healths a significant chunk of content written in a poorly resourced yet highly prevalent first language of the region in concern (e.g., Hindi). Such omissions are common due to the sheer mismatch between linguistic resources offered in a world language and its low-resource counterpart. However, during a
16#
發(fā)表于 2025-3-24 08:20:06 | 只看該作者
17#
發(fā)表于 2025-3-24 13:57:03 | 只看該作者
Measuring COVID-19 Vaccine Hesitancy: Consistency of?Social Media with?Surveys recent artificial intelligence advances, we propose a framework to estimate individuals’ vaccine hesitancy from their social media posts. With 745,661 vaccine-related tweets originating from three Western European countries, we compare vaccine hesitancy levels measured with our framework against th
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發(fā)表于 2025-3-24 17:16:12 | 只看該作者
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發(fā)表于 2025-3-24 19:18:17 | 只看該作者
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發(fā)表于 2025-3-25 00:02:27 | 只看該作者
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