通过文本挖掘和主题建模确定#寄生虫学的Twitter趋势

IF 1.7 Q3 PARASITOLOGY
John T. Ellis , Michael P. Reichel
{"title":"通过文本挖掘和主题建模确定#寄生虫学的Twitter趋势","authors":"John T. Ellis ,&nbsp;Michael P. Reichel","doi":"10.1016/j.crpvbd.2023.100138","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigated the emergence and use of Twitter, as of July 2023 being rebranded as X, as the main forum for social media communication in parasitology. A dataset of tweets was constructed using a keyword search of Twitter with the search terms ‘malaria’, ‘<em>Plasmodium’</em>, ‘<em>Leishmania</em>’, ‘<em>Trypanosoma</em>’, ‘<em>Toxoplasma</em>’ and ‘<em>Schistosoma</em>’ for the period from 2011 to 2020. Exploratory data analyses of tweet content were conducted, including language, usernames and hashtags. To identify parasitology topics of discussion, keywords and phrases were extracted using KeyBert and biterm topic modelling. The sentiment of tweets was analysed using VADER. The results show that the number of tweets including the keywords increased from 2011 (for malaria) and 2013 (for the others) to 2020, with the highest number of tweets being recorded in 2020. The maximum number of yearly tweets for <em>Plasmodium</em>, <em>Leishmania</em>, <em>Toxoplasma</em>, <em>Trypanosoma</em> and <em>Schistosoma</em> was recorded in 2020 (2804, 2161, 1570, 680 and 360 tweets, respectively). English was the most commonly used language for tweeting, although the percentage varied across the searches. In tweets mentioning <em>Leishmania</em>, only ∼37% were in English, with Spanish being more common. Across all the searches, Portuguese was another common language found. Popular tweets on <em>Toxoplasma</em> contained keywords relating to mental health including depression, anxiety and schizophrenia. The <em>Trypanosoma</em> tweets referenced drugs (benznidazole, nifurtimox) and vectors (bugs, triatomines, tsetse), while the <em>Schistosoma</em> tweets referenced areas of biology including pathology, eggs and snails. A wide variety of individuals and organisations were shown to be associated with Twitter activity. Many journals in the parasitology arena regularly tweet about publications from their journal, and professional societies promote activity and events that are important to them. These represent examples of trusted sources of information, often by experts in their fields. Social media activity of influencers, however, who have large numbers of followers, might have little or no training in science. The existence of such tweeters does raise cause for concern to parasitology, as one may start to question the quality of information being disseminated.</p></div>","PeriodicalId":94311,"journal":{"name":"Current research in parasitology & vector-borne diseases","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7f/6b/main.PMC10475476.pdf","citationCount":"1","resultStr":"{\"title\":\"Twitter trends in #Parasitology determined by text mining and topic modelling\",\"authors\":\"John T. Ellis ,&nbsp;Michael P. Reichel\",\"doi\":\"10.1016/j.crpvbd.2023.100138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study investigated the emergence and use of Twitter, as of July 2023 being rebranded as X, as the main forum for social media communication in parasitology. A dataset of tweets was constructed using a keyword search of Twitter with the search terms ‘malaria’, ‘<em>Plasmodium’</em>, ‘<em>Leishmania</em>’, ‘<em>Trypanosoma</em>’, ‘<em>Toxoplasma</em>’ and ‘<em>Schistosoma</em>’ for the period from 2011 to 2020. Exploratory data analyses of tweet content were conducted, including language, usernames and hashtags. To identify parasitology topics of discussion, keywords and phrases were extracted using KeyBert and biterm topic modelling. The sentiment of tweets was analysed using VADER. The results show that the number of tweets including the keywords increased from 2011 (for malaria) and 2013 (for the others) to 2020, with the highest number of tweets being recorded in 2020. The maximum number of yearly tweets for <em>Plasmodium</em>, <em>Leishmania</em>, <em>Toxoplasma</em>, <em>Trypanosoma</em> and <em>Schistosoma</em> was recorded in 2020 (2804, 2161, 1570, 680 and 360 tweets, respectively). English was the most commonly used language for tweeting, although the percentage varied across the searches. In tweets mentioning <em>Leishmania</em>, only ∼37% were in English, with Spanish being more common. Across all the searches, Portuguese was another common language found. Popular tweets on <em>Toxoplasma</em> contained keywords relating to mental health including depression, anxiety and schizophrenia. The <em>Trypanosoma</em> tweets referenced drugs (benznidazole, nifurtimox) and vectors (bugs, triatomines, tsetse), while the <em>Schistosoma</em> tweets referenced areas of biology including pathology, eggs and snails. A wide variety of individuals and organisations were shown to be associated with Twitter activity. Many journals in the parasitology arena regularly tweet about publications from their journal, and professional societies promote activity and events that are important to them. These represent examples of trusted sources of information, often by experts in their fields. Social media activity of influencers, however, who have large numbers of followers, might have little or no training in science. The existence of such tweeters does raise cause for concern to parasitology, as one may start to question the quality of information being disseminated.</p></div>\",\"PeriodicalId\":94311,\"journal\":{\"name\":\"Current research in parasitology & vector-borne diseases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7f/6b/main.PMC10475476.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current research in parasitology & vector-borne diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667114X23000262\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PARASITOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current research in parasitology & vector-borne diseases","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667114X23000262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PARASITOLOGY","Score":null,"Total":0}
引用次数: 1

摘要

这项研究调查了推特的出现和使用情况,截至2023年7月,推特更名为X,是寄生虫学中社交媒体交流的主要论坛。使用Twitter的关键词搜索构建了2011年至2020年期间的推文数据集,搜索词为“疟疾”、“疟原虫”、“利什曼原虫”、“锥虫”、“弓形虫”和“血吸虫病”。对推特内容进行了探索性数据分析,包括语言、用户名和标签。为了确定讨论的寄生虫学主题,使用KeyBert和biterm主题建模提取关键词和短语。使用VADER分析了推特的情绪。结果显示,从2011年(针对疟疾)和2013年(针对其他人)到2020年,包括关键词在内的推文数量有所增加,其中2020年推文数量最高。疟原虫、利什曼原虫、弓形虫、锥虫和血吸虫的年度推文数量最高记录在2020年(分别为2804、2161、1570、680和360条推文)。英语是推特上最常用的语言,尽管不同搜索的比例不同。在提到利什曼尼亚的推文中,只有~37%是英语,西班牙语更为常见。在所有搜索中,葡萄牙语是另一种常见语言。关于弓形虫的热门推文包含了与心理健康相关的关键词,包括抑郁症、焦虑症和精神分裂症。锥虫的推文提到了药物(苯硝唑、硝呋噻肟)和载体(虫子、三胺虫、舌蝇),而血吸虫的推文则提到了生物学领域,包括病理学、卵子和蜗牛。各种各样的个人和组织被证明与推特活动有关。寄生虫学领域的许多期刊都会定期在推特上发布关于其期刊出版物的推文,专业协会也会宣传对他们来说重要的活动和事件。这些都是值得信赖的信息来源的例子,通常是由其领域的专家提供的。然而,拥有大量追随者的有影响力的人的社交媒体活动可能很少或根本没有受过科学培训。这种推特用户的存在确实引起了寄生虫学的关注,因为人们可能会开始质疑传播信息的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Twitter trends in #Parasitology determined by text mining and topic modelling

Twitter trends in #Parasitology determined by text mining and topic modelling

This study investigated the emergence and use of Twitter, as of July 2023 being rebranded as X, as the main forum for social media communication in parasitology. A dataset of tweets was constructed using a keyword search of Twitter with the search terms ‘malaria’, ‘Plasmodium’, ‘Leishmania’, ‘Trypanosoma’, ‘Toxoplasma’ and ‘Schistosoma’ for the period from 2011 to 2020. Exploratory data analyses of tweet content were conducted, including language, usernames and hashtags. To identify parasitology topics of discussion, keywords and phrases were extracted using KeyBert and biterm topic modelling. The sentiment of tweets was analysed using VADER. The results show that the number of tweets including the keywords increased from 2011 (for malaria) and 2013 (for the others) to 2020, with the highest number of tweets being recorded in 2020. The maximum number of yearly tweets for Plasmodium, Leishmania, Toxoplasma, Trypanosoma and Schistosoma was recorded in 2020 (2804, 2161, 1570, 680 and 360 tweets, respectively). English was the most commonly used language for tweeting, although the percentage varied across the searches. In tweets mentioning Leishmania, only ∼37% were in English, with Spanish being more common. Across all the searches, Portuguese was another common language found. Popular tweets on Toxoplasma contained keywords relating to mental health including depression, anxiety and schizophrenia. The Trypanosoma tweets referenced drugs (benznidazole, nifurtimox) and vectors (bugs, triatomines, tsetse), while the Schistosoma tweets referenced areas of biology including pathology, eggs and snails. A wide variety of individuals and organisations were shown to be associated with Twitter activity. Many journals in the parasitology arena regularly tweet about publications from their journal, and professional societies promote activity and events that are important to them. These represent examples of trusted sources of information, often by experts in their fields. Social media activity of influencers, however, who have large numbers of followers, might have little or no training in science. The existence of such tweeters does raise cause for concern to parasitology, as one may start to question the quality of information being disseminated.

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
CiteScore
3.60
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信