2019冠状病毒病期间经济和就业背景下推文地缘情绪趋势分析

IF 2 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS
Narendranath Sukhavasi, Janardan Misra, Vikrant Kaulgud, Sanjay Podder
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引用次数: 0

摘要

为了有效地制定政策和实施措施,解决人们在大流行的困难时期面临的问题,必须清楚地认识到人们自由谈论的问题。其中一种方法是分析社交媒体feed,例如tweets,这已经成为人们表达他们对各种社会经济问题和解决这些问题所采取措施的实际有效性的观点的主要方式之一。在这项工作中,我们试图揭示各种社会经济问题,这些问题在一年的大流行期间引起了不同地区的消极和积极情绪及其趋势。我们也试着找出在危机中不同性别观点的异同点。许多先前的作品分析了疫苗、死亡和封锁背景下的情绪;然而,社会经济问题没有得到充分重视。我们发现,在大流行开始期间,各个地区的人们对经济的看法都是消极的。此后,情绪逐渐向积极的方向提升,反映出情况的改善。与男性相比,女性的担忧和希望似乎略有不同,尤其是在全球范围内,人们在新年期间表达了积极的情绪。最后,这项工作与许多其他关于社交媒体分析的类似工作一起,为广泛采用社交媒体的时空情绪趋势分析作为揭示关键问题和措施有效性的工具奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19.

Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19.

Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19.

Geo-sentiment trends analysis of tweets in context of economy and employment during COVID-19.

To effectively design policies and implement measures for addressing problems faced by people during these difficult times of pandemic, it is critical to have a clear vision of the problems people are freely talking about. One of the ways is to analyze social media feeds e.g., tweets, which has become one of the primary ways people express their views on various socioeconomic issues and on-ground effectiveness of measures adopted to address these issues. In this work, we attempt to uncover various socioeconomic issues, which are giving rise to negative and positive sentiments and their trends across geographies over a course of one year of the pandemic. We also try identifying similarities and differences in opinions as they vary across gender as the time passes through the crisis. Many previous works have analyzed sentiments in context of vaccines, fatalities, and lockdowns; however, socioeconomic issues did not receive full attention. We found that sentiments of people with respect to economy are negative across geographies during starting of pandemic. Thereafter, gradually sentiments lift towards positive direction reflecting a sense of improvement in situation. Females appeared to have slightly different concerns and hopes in comparison to males and especially across globe people expressed positive sentiments during new year time. Finally, this work, together with many other similar works on social media analysis gives ground for wide scale adoption of geo-temporal sentiments trend analysis of social media as a tool for uncovering key concerns and effectiveness of measures.

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来源期刊
Journal of Computational Social Science
Journal of Computational Social Science SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
6.20
自引率
6.20%
发文量
30
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