用主观逻辑分析气候变化论点

Adrian Groza, Pınar Öztürk, R. R. Slavescu, A. Marginean, R. Prasath
{"title":"用主观逻辑分析气候变化论点","authors":"Adrian Groza, Pınar Öztürk, R. R. Slavescu, A. Marginean, R. Prasath","doi":"10.1109/ICCP.2018.8516616","DOIUrl":null,"url":null,"abstract":"Climate experts have agreed that global warming is at least partially caused by certain human activities. Different from experts, this agreement has not reached all the public arena yet. That is, people have different views and therefore argue about climate change issues. We are interested in analysing people's arguments on global warming. The large number of conveyed arguments need somehow to be aggregated in order to have a top level view on what people believe. To build such collective opinion, we use subjective logic. Based on subjective reasoning we are able to assess the expectance that a debate topic be accepted by a given community or arguers. We collected arguments on climate change from three debates sites: Debatepedia, For and Against and Debate.org. We can analyse the differences between such communities. We use the consensus operator in subjective logic to aggregate similar opinions from distinct debate communities. Moreover, various debate topics can refer to the same issue but with different phases. We apply the affinity propagation algorithm to cluster the debates. Our approach for analysing people arguments can be applied in different domains, other than the one exemplified here, that is climate change.","PeriodicalId":259007,"journal":{"name":"2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysing Climate Change Arguments Using Subjective Logic\",\"authors\":\"Adrian Groza, Pınar Öztürk, R. R. Slavescu, A. Marginean, R. Prasath\",\"doi\":\"10.1109/ICCP.2018.8516616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Climate experts have agreed that global warming is at least partially caused by certain human activities. Different from experts, this agreement has not reached all the public arena yet. That is, people have different views and therefore argue about climate change issues. We are interested in analysing people's arguments on global warming. The large number of conveyed arguments need somehow to be aggregated in order to have a top level view on what people believe. To build such collective opinion, we use subjective logic. Based on subjective reasoning we are able to assess the expectance that a debate topic be accepted by a given community or arguers. We collected arguments on climate change from three debates sites: Debatepedia, For and Against and Debate.org. We can analyse the differences between such communities. We use the consensus operator in subjective logic to aggregate similar opinions from distinct debate communities. Moreover, various debate topics can refer to the same issue but with different phases. We apply the affinity propagation algorithm to cluster the debates. Our approach for analysing people arguments can be applied in different domains, other than the one exemplified here, that is climate change.\",\"PeriodicalId\":259007,\"journal\":{\"name\":\"2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCP.2018.8516616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCP.2018.8516616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

气候专家一致认为,全球变暖至少部分是由某些人类活动造成的。与专家们的看法不同,这一共识尚未达到所有公众层面。也就是说,人们有不同的观点,因此争论气候变化问题。我们对分析人们关于全球变暖的观点很感兴趣。为了对人们的看法有一个最高层次的看法,需要以某种方式汇总大量传达的论点。为了建立这样的集体意见,我们使用主观逻辑。基于主观推理,我们能够评估一个辩论主题被给定社区或辩论者接受的期望。我们从三个辩论网站收集了关于气候变化的争论:辩论百科、赞成和反对以及辩论网站。我们可以分析这些社区之间的差异。我们使用主观逻辑中的共识算子来聚合来自不同辩论社区的相似意见。此外,不同的辩论主题可以指同一个问题,但不同的阶段。我们采用亲和传播算法对辩论进行聚类。我们分析人们争论的方法可以应用于不同的领域,除了这里举的例子,那就是气候变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analysing Climate Change Arguments Using Subjective Logic
Climate experts have agreed that global warming is at least partially caused by certain human activities. Different from experts, this agreement has not reached all the public arena yet. That is, people have different views and therefore argue about climate change issues. We are interested in analysing people's arguments on global warming. The large number of conveyed arguments need somehow to be aggregated in order to have a top level view on what people believe. To build such collective opinion, we use subjective logic. Based on subjective reasoning we are able to assess the expectance that a debate topic be accepted by a given community or arguers. We collected arguments on climate change from three debates sites: Debatepedia, For and Against and Debate.org. We can analyse the differences between such communities. We use the consensus operator in subjective logic to aggregate similar opinions from distinct debate communities. Moreover, various debate topics can refer to the same issue but with different phases. We apply the affinity propagation algorithm to cluster the debates. Our approach for analysing people arguments can be applied in different domains, other than the one exemplified here, that is climate change.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Deep Learning Approach For Pedestrian Segmentation In Infrared Images Real-Time Temporal Frequency Detection in FPGA Using Event-Based Vision Sensor Miniature Autonomous Vehicle Development on Raspberry Pi NEARBY Platform: Algorithm for Automated Asteroids Detection in Astronomical Images CoolCloudSim: Integrating Cooling System Models in CloudSim
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1