Emotion analysis of user reactions to online news

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Information Discovery and Delivery Pub Date : 2022-11-14 DOI:10.1108/idd-04-2022-0027

Marina Bagić Babac

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引用次数: 5

Abstract

Purpose Social media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour. Design/methodology/approach More than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis. Findings The findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour. Originality/value This paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.

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用户对网络新闻反应的情感分析

社交媒体允许观察人类行为的不同方面，特别是那些可以从明确的用户表达中评估的方面。基于从社交媒体收集的带有用户意见的帖子数据集，本文旨在深入了解不同新闻门户网站的读者对在线内容的反应。重点是用户对内容的情感，因此分析结果提供了进一步的理解，即营销人员应该如何构建和传递传播内容，以促进积极的参与行为。设计/方法/方法收集和分析了来自15个全球流行新闻门户网站的550多万用户对发布的消息的评论，其中每个帖子都基于一组变量进行评估，这些变量代表了表达的结构(例如嵌入在消息内部或消息之间的结构中)或行为(例如表现出响应发布的消息时出现的某种行为模式)组成部分。结论是基于一套回归模型和探索性因子分析。研究结果显示并理论化了社交媒体内容对用户情感参与的影响。这提供了对社交媒体内容的参与度的更全面的理解，因此可以更好地预测未来的行为。原创性/价值本文对2018年社交媒体新闻网站上出现的用户评论和情绪反应进行了原创性数据分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Information Discovery and Delivery INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

5.40

自引率

4.80%

发文量

期刊介绍： Information Discovery and Delivery covers information discovery and access for digital information researchers. This includes educators, knowledge professionals in education and cultural organisations, knowledge managers in media, health care and government, as well as librarians. The journal publishes research and practice which explores the digital information supply chain ie transport, flows, tracking, exchange and sharing, including within and between libraries. It is also interested in digital information capture, packaging and storage by ‘collectors’ of all kinds. Information is widely defined, including but not limited to: Records, Documents, Learning objects, Visual and sound files, Data and metadata and , User-generated content.

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