CSR disclosure on Twitter: Evidence from the UK

IF 4.1 3区 管理学 Q2 BUSINESS International Journal of Accounting Information Systems Pub Date : 2021-03-01 DOI:10.1016/j.accinf.2021.100500
Marian H. Amin , Ehab K.A. Mohamed , Ahmed Elragal
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引用次数: 22

Abstract

Ongoing advancements in technology have dramatically changed the disclosure media that companies adopt. Such disclosure media have evolved from traditional paper-based ones to the internet as the new platform for disclosing information on companies’ designated websites; however, the new media for disclosures are currently social media platforms. Among the important disclosures that companies make are Corporate Social Responsibility (CSR) disclosures. These are now deemed indispensable due to growing social awareness among societies. While a significant body of the literature is dedicated to studying CSR disclosures and their determinants on the traditional media, studies examining CSR disclosures on social media are quite few. Hence, the aim of this paper is to investigate corporate social media accounts for CSR disclosures, as well as identify their determinants. The sample of the study is comprised of tweets posted on the Twitter accounts belonging to the FTSE 350 constituents. Topic modeling, an unsupervised machine learning approach, is applied to identify CSR disclosure tweets and regressions are run to identify the determinants of CSR disclosure on Twitter. The utilization of topic modeling to reveal CSR content on social media is considered a new approach to mainstream CSR disclosure literature; as such, this paper examines the new phenomenon of CSR disclosures on social media using new research methods. Results show that the popularity of Twitter as a CSR disclosure platform has risen significantly over the past few years. The paper also provides evidence that the presence of women on company boards, especially non-executive women, is positively associated with the extent of CSR disclosure on Twitter. Results highlight the importance of board independence for CSR disclosure in a social media disclosure context, complementing other disclosure platforms. Larger firms are also found to disclose more CSR information on Twitter compared to smaller ones indicating that firm size plays an important role determining a company’s level of CSR disclosure on social media.

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Twitter上的企业社会责任披露:来自英国的证据
技术的不断进步极大地改变了公司采用的信息披露媒体。信息披露媒介由传统的纸媒向互联网发展,成为企业指定网站信息披露的新平台;然而,目前披露的新媒体是社交媒体平台。企业社会责任(CSR)披露是企业披露的重要内容之一。由于社会意识的增强,这些现在被认为是不可或缺的。虽然有大量文献致力于研究传统媒体上的企业社会责任披露及其决定因素,但研究社交媒体上的企业社会责任披露的研究却很少。因此,本文的目的是调查企业社会责任披露的社交媒体账户,以及确定其决定因素。研究样本由富时350指数成分股的Twitter账户上发布的推文组成。主题建模是一种无监督机器学习方法,用于识别企业社会责任披露推文,并运行回归来确定Twitter上企业社会责任披露的决定因素。利用话题模型揭示社交媒体上的社会责任内容被认为是主流社会责任披露文献的新途径;因此,本文采用新的研究方法对社交媒体上企业社会责任披露的新现象进行了研究。结果表明,Twitter作为企业社会责任披露平台的受欢迎程度在过去几年中显著上升。该论文还提供了证据,证明女性在公司董事会中的存在,特别是非执行女性,与Twitter上的企业社会责任披露程度呈正相关。结果强调了在社交媒体披露背景下,董事会独立性对企业社会责任披露的重要性,与其他披露平台相辅相成。与较小的公司相比,较大的公司在Twitter上披露的企业社会责任信息也更多,这表明公司规模在决定公司在社交媒体上披露的企业社会责任水平方面起着重要作用。
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
CiteScore
9.00
自引率
6.50%
发文量
23
期刊介绍: The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.
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