Any Publicity is Good Publicity: Positive, Negative and Neutral Tweets Can All Become Trends

Marco A. Palomino, Aditya Padmanabhan Varma
{"title":"Any Publicity is Good Publicity: Positive, Negative and Neutral Tweets Can All Become Trends","authors":"Marco A. Palomino, Aditya Padmanabhan Varma","doi":"10.1109/SCCC51225.2020.9281266","DOIUrl":null,"url":null,"abstract":"Anecdotal evidence suggests that Twitter trends are characterised by highly polarised tweets. However, specific experiments intended to measure the correlation between the emergence of a trend and the overall sentiment expressed on it have been few and limited. Thus, we have launched an investigation to ascertain the nature of the relationship between trends and strength of sentiment. As a testbed for our experimentation, we have retrieved a large collection of tweets related to the COVID19 pandemic, in the particular context of the UK Government briefings broadcasted in the media. Our results highlight the presence of a significant percentage of trends with a nearly neutral sentiment. Indeed, there does not seem to be an apparent correlation between trends and polarity.","PeriodicalId":117157,"journal":{"name":"2020 39th International Conference of the Chilean Computer Science Society (SCCC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 39th International Conference of the Chilean Computer Science Society (SCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCCC51225.2020.9281266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Anecdotal evidence suggests that Twitter trends are characterised by highly polarised tweets. However, specific experiments intended to measure the correlation between the emergence of a trend and the overall sentiment expressed on it have been few and limited. Thus, we have launched an investigation to ascertain the nature of the relationship between trends and strength of sentiment. As a testbed for our experimentation, we have retrieved a large collection of tweets related to the COVID19 pandemic, in the particular context of the UK Government briefings broadcasted in the media. Our results highlight the presence of a significant percentage of trends with a nearly neutral sentiment. Indeed, there does not seem to be an apparent correlation between trends and polarity.
任何宣传都是好的宣传:积极的、消极的和中立的推文都可以成为趋势
坊间证据表明,推特趋势的特点是高度两极化的推文。然而,旨在衡量趋势的出现与对其表达的整体情绪之间的相关性的具体实验很少,而且有限。因此,我们展开了一项调查,以确定趋势和情绪强度之间关系的本质。作为实验的试验台,我们检索了大量与covid - 19大流行相关的推文,特别是在英国政府在媒体上播放的简报的背景下。我们的结果突出了相当大比例的趋势的存在,这些趋势的情绪几乎是中性的。事实上,趋势和极性之间似乎没有明显的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
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