通过Twitter和Reddit数据分析了解孤独感:比较研究。

IF 1.9 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Hurmat Ali Shah, Mowafa Househ
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引用次数: 0

摘要

背景:孤独是一个全球性的公共卫生问题,导致各种心理和身体健康问题。它增加了危及生命的疾病的风险,并在损失的生产日数方面对经济造成负担。孤独是一个高度多样化的概念,它与多种因素有关。目的:本研究旨在通过比较分析Twitter和Reddit这两个流行的社交媒体平台上的孤独感数据来了解孤独感。这些平台在使用方面有所不同,因为Twitter只允许短帖子,而Reddit在论坛设置中允许长帖子。方法:我们收集了2022年10月的全球孤独感数据。他们收集了包含“孤独”、“孤独”、“孤独”、“孤独”、“隔离”等词语的推特帖子。Reddit的帖子是在2023年3月被提取出来的。利用自然语言处理技术(来自自然语言工具包[NLTK]的情感推理价感知词典[VADER]工具),该研究从两个平台上的用户生成内容中识别并提取了与孤独相关的关键字和短语。这项研究使用了情感分析和一个话题的出现次数。通过定量分析来确定一个话题在tweet和帖子中的出现次数,并在一个类别下报告总体有意义的话题。结果:提取的数据进行了比较分析,以确定Twitter和Reddit上与孤独相关的共同主题和趋势。总共收集了10万条推文和1万条独立的Reddit帖子(包括评论)进行了分析。研究结果揭示了各种社会、政治和个人情感主题与社交媒体上孤独的表达之间的关系。两个平台在主题和讨论类别以及与孤独相关的内容方面显示出相似的模式。Reddit和Twitter都解决了孤独问题,但它们的关注点不同。Reddit的讨论主要集中在个人情感主题上,这些主题的发生率更高。Twitter虽然仍然强调个人情感主题,但它包含了更广泛的类别。这两个平台都符合与心理健康问题自我表达相关的心理语言特征。关键的区别在于话题的范围,Twitter的话题种类更多,而Reddit更关注个人情感方面。结论:Reddit帖子提供了关于孤独表达数据的详细见解,尽管可以从数据中推断出主题和类别的多样性。这些见解可以指导未来使用社交媒体数据来理解孤独的研究。研究结果为进一步比较不同社交媒体平台和网络平台上的孤独感表达提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Loneliness Through Analysis of Twitter and Reddit Data: Comparative Study.

Background: Loneliness is a global public health issue contributing to a variety of mental and physical health issues. It increases the risk of life-threatening conditions and contributes to the burden on the economy in terms of the number of productive days lost. Loneliness is a highly varied concept, which is associated with multiple factors.

Objective: This study aimed to understand loneliness through a comparative analysis of loneliness data on Twitter and Reddit, which are popular social media platforms. These platforms differ in terms of their use, as Twitter allows only short posts, while Reddit allows long posts in a forum setting.

Methods: We collected global data on loneliness in October 2022. Twitter posts containing the words "lonely," "loneliness," "alone," "solitude," and "isolation" were collected. Reddit posts were extracted in March 2023. Using natural language processing techniques (valence aware dictionary for sentiment reasoning [VADER] tool from the natural language toolkit [NLTK]), the study identified and extracted relevant keywords and phrases related to loneliness from user-generated content on both platforms. The study used both sentiment analysis and the number of occurrences of a topic. Quantitative analysis was performed to determine the number of occurrences of a topic in tweets and posts, and overall meaningful topics were reported under a category.

Results: The extracted data were subjected to comparative analysis to identify common themes and trends related to loneliness across Twitter and Reddit. A total of 100,000 collected tweets and 10,000 unique Reddit posts, including comments, were analyzed. The results of the study revealed the relationships of various social, political, and personal-emotional themes with the expression of loneliness on social media. Both platforms showed similar patterns in terms of themes and categories of discussion in conjunction with loneliness-related content. Both Reddit and Twitter addressed loneliness, but they differed in terms of focus. Reddit discussions were predominantly centered on personal-emotional themes, with a higher occurrence of these topics. Twitter, while still emphasizing personal-emotional themes, included a broader range of categories. Both platforms aligned with psychological linguistic features related to the self-expression of mental health issues. The key difference was in the range of topics, with Twitter having a wider variety of topics and Reddit having more focus on personal-emotional aspects.

Conclusions: Reddit posts provide detailed insights into data about the expression of loneliness, although at the cost of the diversity of themes and categories, which can be inferred from the data. These insights can guide future research using social media data to understand loneliness. The findings provide the basis for further comparative investigation of the expression of loneliness on different social media platforms and online platforms.

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来源期刊
Interactive Journal of Medical Research
Interactive Journal of Medical Research MEDICINE, RESEARCH & EXPERIMENTAL-
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