• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

公众对教育视频的评论情绪:理解主讲人性别、视频格式、线程和 YouTube TED 演讲评论 moderation 对评论的影响。

Public comment sentiment on educational videos: Understanding the effects of presenter gender, video format, threading, and moderation on YouTube TED talk comments.

机构信息

School of Education & Technology, Royal Roads University, Victoria, BC, Canada.

Department of Instructional Psychology and Technology, Brigham Young University, Provo, UT, United States of America.

出版信息

PLoS One. 2018 Jun 1;13(6):e0197331. doi: 10.1371/journal.pone.0197331. eCollection 2018.

DOI:10.1371/journal.pone.0197331
PMID:29856749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5983440/
Abstract

Scholars, educators, and students are increasingly encouraged to participate in online spaces. While the current literature highlights the potential positive outcomes of such participation, little research exists on the sentiment that these individuals may face online and on the factors that may lead some people to face different types of sentiment than others. To investigate these issues, we examined the strength of positive and negative sentiment expressed in response to TEDx and TED-Ed talks posted on YouTube (n = 655), the effect of several variables on comment and reply sentiment (n = 774,939), and the projected effects that sentiment-based moderation would have had on posted content. We found that most comments and replies were neutral in nature and some topics were more likely than others to elicit positive or negative sentiment. Videos of male presenters showed greater neutrality, while videos of female presenters saw significantly greater positive and negative polarity in replies. Animations neutralized both the negativity and positivity of replies at a very high rate. Gender and video format influenced the sentiment of replies and not just the initial comments that were directed toward the video. Finally, we found that using sentiment as a way to moderate offensive content would have a significant effect on non-offensive content. These findings have far-reaching implications for social media platforms and for those who encourage or prepare students and scholars to participate online.

摘要

学者、教育者和学生越来越多地被鼓励参与在线空间。虽然现有文献强调了这种参与的潜在积极结果,但很少有研究关注这些人在网上可能面临的情绪,以及哪些因素可能导致一些人面临与其他人不同类型的情绪。为了研究这些问题,我们考察了在 YouTube 上发布的 TEDx 和 TED-Ed 演讲(n=655)中表达的积极和消极情绪的强度、几个变量对评论和回复情绪的影响(n=774939),以及基于情绪的审核对发布内容的预期影响。我们发现,大多数评论和回复本质上是中立的,有些话题比其他话题更容易引发积极或消极情绪。男性演讲者的视频表现出更大的中立性,而女性演讲者的视频则显示出回复中明显更大的积极和消极极性。动画以非常高的比例中和了回复的负面和正面情绪。性别和视频格式影响回复的情绪,而不仅仅是最初针对视频的评论。最后,我们发现,使用情绪作为一种调节冒犯性内容的方式,会对非冒犯性内容产生重大影响。这些发现对社交媒体平台以及鼓励或培训学生和学者参与在线的人具有深远的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a74c/5983440/62e2e4f26d0e/pone.0197331.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a74c/5983440/62e2e4f26d0e/pone.0197331.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a74c/5983440/62e2e4f26d0e/pone.0197331.g001.jpg

相似文献

1
Public comment sentiment on educational videos: Understanding the effects of presenter gender, video format, threading, and moderation on YouTube TED talk comments.公众对教育视频的评论情绪:理解主讲人性别、视频格式、线程和 YouTube TED 演讲评论 moderation 对评论的影响。
PLoS One. 2018 Jun 1;13(6):e0197331. doi: 10.1371/journal.pone.0197331. eCollection 2018.
2
Pro-Anorexia and Anti-Pro-Anorexia Videos on YouTube: Sentiment Analysis of User Responses.YouTube上支持厌食症与反对支持厌食症的视频:用户反馈的情感分析
J Med Internet Res. 2015 Nov 12;17(11):e256. doi: 10.2196/jmir.5007.
3
Cleft Lip and Palate YouTube Videos: Content Usefulness and Sentiment Analysis.唇腭裂 YouTube 视频:内容有用性和情感分析。
Cleft Palate Craniofac J. 2021 Mar;58(3):362-368. doi: 10.1177/1055665620948722. Epub 2020 Aug 19.
4
"My Invisalign experience": content, metrics and comment sentiment analysis of the most popular patient testimonials on YouTube.“Invisalign 体验”:YouTube 上最受欢迎的患者评价的内容、指标和评论情感分析。
Prog Orthod. 2018 Jan 22;19(1):3. doi: 10.1186/s40510-017-0201-1.
5
A comparison of patient testimonials on YouTube of the most common orthodontic treatment modalities: Braces, in-office aligners, and direct-to-consumer aligners.比较 YouTube 上最常见的正畸治疗方式(牙套、诊室矫治器和直接面向消费者的矫治器)的患者评价。
Am J Orthod Dentofacial Orthop. 2022 Mar;161(3):355-363.e3. doi: 10.1016/j.ajodo.2020.09.036. Epub 2021 Nov 11.
6
Exploring YouTube's Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories.探索 COVID-19 疫苗背景下的 YouTube 推荐系统:视频轨迹的计算与比较分析。
J Med Internet Res. 2023 Sep 15;25:e49061. doi: 10.2196/49061.
7
Food Communication and its Related Sentiment in Local and Organic Food Videos on YouTube.YouTube 上本地和有机食品视频中的食品交流及其相关情绪。
J Med Internet Res. 2020 Aug 10;22(8):e16761. doi: 10.2196/16761.
8
Assessing inclusion and representativeness on digital platforms for health education: Evidence from YouTube.评估健康教育数字平台的包容性和代表性:来自 YouTube 的证据。
J Biomed Inform. 2024 Sep;157:104669. doi: 10.1016/j.jbi.2024.104669. Epub 2024 Jun 15.
9
An investigation into online videos as a source of safety hazard reports.在线视频作为安全隐患报告来源的调查。
J Safety Res. 2018 Jun;65:89-99. doi: 10.1016/j.jsr.2018.03.004. Epub 2018 Mar 14.
10
A community of curious souls: an analysis of commenting behavior on TED talks videos.一个好奇灵魂的社区:对 TED 演讲视频评论行为的分析。
PLoS One. 2014 Apr 9;9(4):e93609. doi: 10.1371/journal.pone.0093609. eCollection 2014.

引用本文的文献

1
Online short videos promoting public breast cancer literacy: a pretest-posttest control group trial on efficiency, attitude, and influencing factors.在线短视频促进公众乳腺癌知识普及:一项关于效率、态度和影响因素的预试验-后试验对照试验
Front Public Health. 2023 Jun 15;11:1198780. doi: 10.3389/fpubh.2023.1198780. eCollection 2023.
2
Contextualizing gender disparities in online teaching evaluations for professors.语境化教授在线教学评估中的性别差距。
PLoS One. 2023 Mar 16;18(3):e0282704. doi: 10.1371/journal.pone.0282704. eCollection 2023.
3
Sentiment analysis and emotion detection of post-COVID educational Tweets: Jordan case.

本文引用的文献

1
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions.任何人都可能成为网络喷子:在线讨论中喷子行为的成因。
CSCW Conf Comput Support Coop Work. 2017 Feb-Mar;2017:1217-1230. doi: 10.1145/2998181.2998213.
2
Pro-Anorexia and Anti-Pro-Anorexia Videos on YouTube: Sentiment Analysis of User Responses.YouTube上支持厌食症与反对支持厌食症的视频:用户反馈的情感分析
J Med Internet Res. 2015 Nov 12;17(11):e256. doi: 10.2196/jmir.5007.
3
Eliciting mixed emotions: a meta-analysis comparing models, types, and measures.引发复杂情绪:一项比较模型、类型和测量方法的元分析
新冠疫情后教育类推文的情感分析与情绪检测:约旦案例
Soc Netw Anal Min. 2023;13(1):39. doi: 10.1007/s13278-023-01041-8. Epub 2023 Mar 2.
4
Role of Moderators on Engagement of Adolescents With Depression or Anxiety in a Social Media Intervention: Content Analysis of Web-Based Interactions.主持人在社交媒体干预中对患有抑郁症或焦虑症青少年参与度的作用:基于网络互动的内容分析
JMIR Ment Health. 2019 Sep 26;6(9):e13467. doi: 10.2196/13467.
Front Psychol. 2015 Apr 15;6:428. doi: 10.3389/fpsyg.2015.00428. eCollection 2015.
4
Should TED talks be teaching us something?TED演讲应该教会我们一些东西吗?
Am J Pharm Educ. 2014 Aug 15;78(6):113. doi: 10.5688/ajpe786113.
5
A community of curious souls: an analysis of commenting behavior on TED talks videos.一个好奇灵魂的社区:对 TED 演讲视频评论行为的分析。
PLoS One. 2014 Apr 9;9(4):e93609. doi: 10.1371/journal.pone.0093609. eCollection 2014.
6
How risky are social networking sites? A comparison of places online where youth sexual solicitation and harassment occurs.社交网站的风险有多大?对网络上发生青少年性引诱和骚扰行为的场所进行比较。
Pediatrics. 2008 Feb;121(2):e350-7. doi: 10.1542/peds.2007-0693. Epub 2008 Jan 28.