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关注还是冷漠?利用社交媒体平台(Twitter)评估公众对野生动物保护的意识:以非法犀牛角贸易为例。

Concerned or Apathetic? Using Social Media Platform (Twitter) to Gauge the Public Awareness about Wildlife Conservation: A Case Study of the Illegal Rhino Trade.

机构信息

School of Economics and Management, Beihang University, Beijing 100191, China.

Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operation, Beijing 100191, China.

出版信息

Int J Environ Res Public Health. 2022 Jun 3;19(11):6869. doi: 10.3390/ijerph19116869.

DOI:10.3390/ijerph19116869
PMID:35682453
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9180613/
Abstract

The illegal wildlife trade is resulting in worldwide biodiversity loss and species' extinction. It should be exposed so that the problems of conservation caused by it can be highlighted and resolutions can be found. Social media is an effective method of information dissemination, providing a real-time, low-cost, and convenient platform for the public to release opinions on wildlife protection. This paper aims to explore the usage of social media in understanding public opinions toward conservation events, and illegal rhino trade is an example. This paper provides a framework for analyzing rhino protection issues by using Twitter. A total of 83,479 useful tweets and 33,336 pieces of users' information were finally restored in our database after filtering out irrelevant tweets. With 2422 records of trade cases, this study builds up a rhino trade network based on social media data. The research shows important findings: (1) Tweeting behaviors are somewhat affected by the information of traditional mass media. (2) In general, countries and regions with strong negative sentiment tend to have high volume of rhino trade cases, but not all. (3) Social celebrities' participation in activities arouses wide public concern, but the influence does not last for more than a month. NGOs, GOs, media, and individual enterprises are dominant in the dissemination of information about rhino trade. This study contributes in the following ways: First, this paper conducts research on public opinions toward wildlife conservation using natural language processing technique. Second, this paper offers advice to governments and conservationist organizations, helping them utilize social media for protecting wildlife.

摘要

非法野生动物贸易导致了全球生物多样性的丧失和物种灭绝。应该揭露它,以突出它所造成的保护问题,并找到解决方案。社交媒体是一种有效的信息传播方式,为公众提供了一个实时、低成本、方便的平台,让他们可以就野生动物保护发表意见。本文旨在探讨社交媒体在了解公众对保护事件的意见中的应用,以非法犀牛贸易为例。本文通过使用 Twitter 为分析犀牛保护问题提供了一个框架。在过滤掉不相关的推文后,我们的数据库中最终恢复了 83479 条有用的推文和 33336 条用户信息。共有 2422 条贸易案例记录,本研究基于社交媒体数据构建了一个犀牛贸易网络。研究结果表明:(1) 推文行为在一定程度上受到传统大众媒体信息的影响。(2) 一般来说,负面情绪强烈的国家和地区犀牛贸易案件数量较多,但并非全部如此。(3) 社会名人参与活动引起了广泛的公众关注,但影响不会持续一个月以上。非政府组织、政府组织、媒体和个别企业在犀牛贸易信息传播方面占主导地位。本研究的贡献在于:首先,本文使用自然语言处理技术对公众对野生动物保护的意见进行了研究。其次,本文为政府和保护主义组织提供了建议,帮助他们利用社交媒体保护野生动物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/78d5f46922c1/ijerph-19-06869-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/4cc658fe323e/ijerph-19-06869-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/6d893e972057/ijerph-19-06869-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/353c0acafa45/ijerph-19-06869-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/3e0771a48bc8/ijerph-19-06869-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/ff7a3db2f913/ijerph-19-06869-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/431405c6f431/ijerph-19-06869-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/88fb1fc593bb/ijerph-19-06869-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/d733dafd3935/ijerph-19-06869-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/4479f8fe6fa6/ijerph-19-06869-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/78d5f46922c1/ijerph-19-06869-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/4cc658fe323e/ijerph-19-06869-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/9aa4a20664b8/ijerph-19-06869-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/6d893e972057/ijerph-19-06869-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/353c0acafa45/ijerph-19-06869-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/3e0771a48bc8/ijerph-19-06869-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/ff7a3db2f913/ijerph-19-06869-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/431405c6f431/ijerph-19-06869-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/88fb1fc593bb/ijerph-19-06869-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/d733dafd3935/ijerph-19-06869-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/4479f8fe6fa6/ijerph-19-06869-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/9180613/78d5f46922c1/ijerph-19-06869-g011.jpg

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本文引用的文献

1
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Disasters. 2023 Apr;47(2):267-297. doi: 10.1111/disa.12547. Epub 2023 Jan 13.
2
Evaluating the reliability of media reports for gathering information about illegal wildlife trade seizures.评估媒体报道在收集非法野生动物贸易扣押信息方面的可靠性。
PeerJ. 2022 Apr 5;10:e13156. doi: 10.7717/peerj.13156. eCollection 2022.
3
Effects of PM on People's Emotion: A Case Study of Weibo (Chinese Twitter) in Beijing.
大气细颗粒物(PM)对人们情绪的影响:以北京微博(中国版 Twitter)为例的一项个案研究。
Int J Environ Res Public Health. 2021 May 19;18(10):5422. doi: 10.3390/ijerph18105422.
4
Characterizing efforts to reduce consumer demand for wildlife products.描述减少消费者对野生动物产品需求的努力。
Conserv Biol. 2019 Jun;33(3):623-633. doi: 10.1111/cobi.13227. Epub 2019 Jan 4.
5
A framework for investigating illegal wildlife trade on social media with machine learning.利用机器学习调查社交媒体非法野生动物贸易的框架。
Conserv Biol. 2019 Feb;33(1):210-213. doi: 10.1111/cobi.13104. Epub 2018 Nov 14.
6
Machine learning for tracking illegal wildlife trade on social media.利用机器学习追踪社交媒体上的非法野生动物贸易
Nat Ecol Evol. 2018 Mar;2(3):406-407. doi: 10.1038/s41559-018-0466-x.
7
Combating Rhino Horn Trafficking: The Need to Disrupt Criminal Networks.打击犀牛角非法交易:瓦解犯罪网络的必要性。
PLoS One. 2016 Nov 21;11(11):e0167040. doi: 10.1371/journal.pone.0167040. eCollection 2016.
8
Quantitative methods of identifying the key nodes in the illegal wildlife trade network.识别非法野生动物贸易网络中关键节点的定量方法。
Proc Natl Acad Sci U S A. 2015 Jun 30;112(26):7948-53. doi: 10.1073/pnas.1500862112. Epub 2015 Jun 15.
9
Identification of policies for a sustainable legal trade in rhinoceros horn based on population projection and socioeconomic models.基于种群预测和社会经济模型确定犀牛角可持续合法贸易的政策。
Conserv Biol. 2015 Apr;29(2):545-55. doi: 10.1111/cobi.12412. Epub 2014 Oct 20.
10
Digital surveillance: a novel approach to monitoring the illegal wildlife trade.数字监控:监测非法野生动物贸易的新方法。
PLoS One. 2012;7(12):e51156. doi: 10.1371/journal.pone.0051156. Epub 2012 Dec 7.