{"id":11228,"date":"2025-03-28T16:11:15","date_gmt":"2025-03-28T07:11:15","guid":{"rendered":"https:\/\/aiesg.co.jp\/?post_type=report&#038;p=11228"},"modified":"2025-03-28T16:11:17","modified_gmt":"2025-03-28T07:11:17","slug":"250321-esg-tendencies-from-news-investigated","status":"publish","type":"report","link":"https:\/\/aiesg.co.jp\/en\/topics\/report\/250321-esg-tendencies-from-news-investigated\/","title":{"rendered":"The Latest Trends in ESG as Deciphered by AI: An Introduction to the Latest Research"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/aiesg.co.jp\/en\/topics\/report\/250321-esg-tendencies-from-news-investigated\/#%E3%81%AF%E3%81%98%E3%82%81%E3%81%AB\" >Introduction.<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aiesg.co.jp\/en\/topics\/report\/250321-esg-tendencies-from-news-investigated\/#%E8%83%8C%E6%99%AF%E3%83%BB%E7%9B%AE%E7%9A%84%E3%83%BCESG%E3%81%AE%E5%AE%9F%E8%B7%B5%E3%81%A8%E7%A4%BE%E4%BC%9A%E3%81%AE%E9%96%A2%E5%BF%83%E3%81%AE%E3%82%AE%E3%83%A3%E3%83%83%E3%83%97\" >Background and Objectives - Gap between ESG practices and public interest<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aiesg.co.jp\/en\/topics\/report\/250321-esg-tendencies-from-news-investigated\/#%E6%96%B9%E6%B3%95%E3%83%BC%E3%83%8B%E3%83%A5%E3%83%BC%E3%82%B9%E3%82%92AI%E3%81%A7%E5%88%86%E6%9E%90%E3%81%99%E3%82%8B3%E3%81%A4%E3%81%AE%E3%82%B9%E3%83%86%E3%83%83%E3%83%97\" >How to use AI to analyze news in 3 steps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aiesg.co.jp\/en\/topics\/report\/250321-esg-tendencies-from-news-investigated\/#%E7%B5%90%E6%9E%9C%E3%83%BCESG%E3%83%8B%E3%83%A5%E3%83%BC%E3%82%B9%E3%81%AE%E3%83%88%E3%83%AC%E3%83%B3%E3%83%89%E3%81%A8%E7%A4%BE%E4%BC%9A%E3%81%AE%E9%96%A2%E5%BF%83%E3%81%AE%E5%A4%89%E5%8C%96\" >Results - ESG News Trends and Changing Public Interest<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aiesg.co.jp\/en\/topics\/report\/250321-esg-tendencies-from-news-investigated\/#%E8%80%83%E5%AF%9F%E3%83%BCAI%E3%82%92%E6%B4%BB%E7%94%A8%E3%81%97%E3%81%9FESG%E8%A9%95%E4%BE%A1%E3%81%AE%E6%96%B0%E3%81%9F%E3%81%AA%E5%8F%AF%E8%83%BD%E6%80%A7\" >Consideration - New Possibilities for ESG Valuation Using AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aiesg.co.jp\/en\/topics\/report\/250321-esg-tendencies-from-news-investigated\/#%E3%81%8A%E3%82%8F%E3%82%8A%E3%81%AB\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading has-very-light-gray-to-cyan-bluish-gray-gradient-background has-background\"><span class=\"ez-toc-section\" id=\"%E3%81%AF%E3%81%98%E3%82%81%E3%81%AB\"><\/span><strong>Introduction.<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>December 8, 2024,<strong>aiESG<\/strong>is the Chief Data Scientist at<strong>Li Chao<\/strong>(first author), and Chief Researcher<strong>Keeley Alexander Ryota<\/strong>and Chief Scientific Advisor.<strong>Hidetaro Takeda<\/strong>CEO.<strong>Sekigeki Oyoshi (god of wealth, music, eloquence and water)<\/strong>and the president of the board of directors.<strong>Shunsuke Managi<\/strong>The paper, co-authored by<br><br>The results of this research have been published in Business Strategy and the Environment (2024 Impact Factor: 12.5), a prominent academic journal in the field of ESG (Environmental, Social and Governance).<br><br><strong>Paper Title: \"ESG Tendencies From News Investigated by AI Trained by Human Intelligence\"<\/strong><br><strong>DOI (article link):.<\/strong><a href=\"https:\/\/doi.org\/10.1002\/bse.4089\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>https:\/\/doi.org\/10.1002\/bse.4089<\/strong><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Research Points<\/strong><\/h3>\n\n\n\n<p>In this study,<strong>Objective and quantitative analysis of how the tone of ESG-related news is changing<\/strong>The text match pre-trained transformer (TMPT), a proprietary AI model, will be used for approximately two years from September 2021 to September 2023, and will be published by a U.S. news organization.<strong>Approximately 2.16 million articles in English<\/strong>analysis.<\/p>\n\n\n\n<p>The results revealed the following trends<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Number of reports on environmental issues (E) is declining<\/strong><\/li>\n\n\n\n<li><strong>Increasing interest in topics related to social issue(s)<\/strong><\/li>\n\n\n\n<li><strong>Interest in ESG as a whole is on the rise<\/strong><\/li>\n<\/ul>\n\n\n\n<p>This change has important implications for companies. It will be increasingly necessary to accurately identify changes in social concerns and reflect them in business strategies.<br>This study consists of the following steps<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"462\" height=\"447\" src=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image2.png\" alt=\"\" class=\"wp-image-11229\" srcset=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image2.png 462w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image2-300x290.png 300w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image2-12x12.png 12w\" sizes=\"auto, (max-width: 462px) 100vw, 462px\" \/><figcaption class=\"wp-element-caption\">Figure 1: Flow of this study (prepared by aiESG)<\/figcaption><\/figure>\n<\/div>\n\n\n<p>This article describes the research<strong>Easy-to-understand explanations<\/strong>Then both,<strong>Services provided by aiESG<\/strong>We will also provide information on<br>If you are interested in ESG data analysis and strategy development, please read to the end.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-very-light-gray-to-cyan-bluish-gray-gradient-background has-background\"><span class=\"ez-toc-section\" id=\"%E8%83%8C%E6%99%AF%E3%83%BB%E7%9B%AE%E7%9A%84%E3%83%BCESG%E3%81%AE%E5%AE%9F%E8%B7%B5%E3%81%A8%E7%A4%BE%E4%BC%9A%E3%81%AE%E9%96%A2%E5%BF%83%E3%81%AE%E3%82%AE%E3%83%A3%E3%83%83%E3%83%97\"><\/span><strong>Background and Objectives - Gap between ESG practices and public interest<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In recent years, climate change and economic instability have led to air pollution and other<strong>environmental problem<\/strong>and poverty and corruption.<strong>social problem<\/strong>are becoming increasingly apparent. In response to this situation, companies and governments have<strong>Effective ESG (Environmental, Social, and Governance) Response<\/strong>is required.<br><br>However, because ESG is such a broad and vague topic, it is not easy for companies and governments to accurately identify specific topics of interest to the public (e.g., air pollution or labor rights). The result,<strong>Difficult to adequately reflect the real voice of society when developing ESG strategies<\/strong>This is the challenge.<br><br>Therefore, in recent years, as a clue to the social evaluation of ESG,<strong>news report<\/strong>There is a growing focus on news, because news not only tells of market trends surrounding companies and governments,<strong>An important source of information that reflects the interests and attitudes of people in society as a whole<\/strong>This is because the<br><br>However, there has been no established method for quantitative and systematic analysis of ESG social evaluation using news.<br><br>In order to address this issue, this study aims to examine the past two years of<strong>Unique AI analysis of vast amounts of news data<\/strong>Sh,<strong>Real-time visualization of social assessment on ESG<\/strong>The goal was to make it possible for the company to Thereby,<strong>Changing tone of media coverage of environmental and social issues<\/strong>and,<strong>Shifts in people's interests<\/strong>It will be possible to clarify the<br><br>In the next section, aiESG developed<strong>Unique AI Technology<\/strong>and the analytical methods that utilize them will be explained in detail.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-very-light-gray-to-cyan-bluish-gray-gradient-background has-background\"><span class=\"ez-toc-section\" id=\"%E6%96%B9%E6%B3%95%E3%83%BC%E3%83%8B%E3%83%A5%E3%83%BC%E3%82%B9%E3%82%92AI%E3%81%A7%E5%88%86%E6%9E%90%E3%81%99%E3%82%8B3%E3%81%A4%E3%81%AE%E3%82%B9%E3%83%86%E3%83%83%E3%83%97\"><\/span><strong>How to use AI to analyze news in 3 steps<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In this study,<strong>Proprietary AI model \"TMPT<\/strong> and utilizing the<strong>Quantitative analysis of ESG-related news trends<\/strong>I did.<br>The analysis followed the sequence shown in Figure 2.<br>First,<strong>Analyzing the ESG relevance of news<\/strong>Unique AI model that serves as the basis for<strong>Developed \"TMPT.\"<\/strong>(1), and a large number of major media outlets, especially in the U.S.<strong>Gathering News Data<\/strong>(2).<br>Then, utilizing TMPT,<strong>Analyze changes in news coverage and news tone<\/strong>and the evolution of society's interest in ESG (3).<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"601\" height=\"366\" src=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image5.png\" alt=\"\" class=\"wp-image-11230\" srcset=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image5.png 601w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image5-300x183.png 300w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image5-18x12.png 18w\" sizes=\"auto, (max-width: 601px) 100vw, 601px\" \/><figcaption class=\"wp-element-caption\">Figure 2: Experimental method flow (created by aiESG, icons used: Freepik)<\/figcaption><\/figure>\n<\/div>\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Development of proprietary AI model \"TMPT<\/strong><br>In this study, in order to accurately analyze the relationship between news and ESG-related topics, a unique AI model, \"<strong>TMPT(The text match pre-trained transformer)<\/strong>TMPT has the following features.<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Training data: 200,000 academic papers<\/strong>and constructed as training data for TMPT.<strong>Zero-shot learning*.<\/strong>Enables flexible labeling by<\/li>\n\n\n\n<li><strong>Differences from existing methods<\/strong>: Highly accurate identification of paraphrased expressions (e.g., \"greenhouse gases\" \u21d4 \"CO2\", \"GHG\") that are difficult to identify with the conventional NER method*.<\/li>\n\n\n\n<li><strong>Percent correct: 85.73% (high accuracy for zero-shot learning)<\/strong><br><br>Previous studies have focused on NER methods that have focused on specific industries or companies.<br>However,<strong>Need for a model that can accommodate a more diverse industry<\/strong>Due to the growing number of<strong>A wide range of topics can be identified<\/strong>The TMPT has been developed to be the first of its kind in the world.<br>TMPT has trained over 200,000 paper data and approximately 130 million coefficients,<strong>Accuracy significantly higher than previous models<\/strong>You can determine the relevance of a news item by<br><br><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>*Analysis of ESG topics using AI technology:<strong>Eigenexpression Extraction (NER)<\/strong>and<strong>Zero-shot learning<\/strong>What is the role of<br><br>With the growing importance of ESG (Environmental, Social, and Governance) data in recent years, methods that utilize AI technology to analyze large amounts of text data and gain useful insights are attracting attention. Among them,<strong>Named Entity Recognition (NER)<\/strong>and<strong>Zero-shot learning<\/strong>plays an important role in helping companies organize and utilize ESG-related information.<br><br>NER is a technology that identifies proper nouns such as company and person names in text data. For example, while it can identify the word \"greenhouse gas,\" it is difficult to comprehensively recognize synonyms such as \"CO\u2082\" and \"GHG. The following is a brief overview of the ESG field.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"537\" height=\"402\" src=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image4-1.png\" alt=\"\" class=\"wp-image-11236\" srcset=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image4-1.png 537w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image4-1-300x225.png 300w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image4-1-16x12.png 16w\" sizes=\"auto, (max-width: 537px) 100vw, 537px\" \/><figcaption class=\"wp-element-caption\">Figure 3: Explanation of NER and issues (created by aiESG, icons used: Freepik)<\/figcaption><\/figure>\n<\/div>\n\n\n<p>On the other hand,<strong>Zero-shot learning<\/strong>can be used to properly classify words based on their characteristics, even if they have not been learned beforehand. For example, just as an AI can recognize an elephant based on features such as \"long nose\" and \"big ears\" even if it does not know the word \"elephant,\" it can understand the relationship between \"greenhouse gas\" and \"CO\u2082\" or \"GHG\" in the context of ESG and appropriately determine relevant information.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"538\" height=\"357\" src=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image3.png\" alt=\"\" class=\"wp-image-11237\" srcset=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image3.png 538w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image3-300x199.png 300w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image3-18x12.png 18w\" sizes=\"auto, (max-width: 538px) 100vw, 538px\" \/><figcaption class=\"wp-element-caption\">Figure 4: Overview diagram for zero shot learning (created by aiESG, icon used: Freepik)<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Thus, for companies to accurately analyze ESG data, they need techniques that extract clear proper nouns, such as NER, and techniques that capture context and features, such as zero-shot learning<strong>Combination of technologies<\/strong>is effective, and advances in AI-based data analysis are expected to advance ESG strategy decision-making to a higher level of precision.<\/p>\n<\/blockquote>\n<\/div><\/div>\n\n\n\n<p>\u30002.<strong>News Gathering<\/strong><br>\u3000Next,<strong>Two years from September 2021 to September 2023<\/strong>over a period of ..,<strong>Major U.S. Media<\/strong>From,<br>\u3000Collected ESG-related news to be used in the analysis of relevance to ESG topics.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Media covered: CNN, The New York Times, Forbes, etc. <strong>354 U.S. news organizations<\/strong><\/li>\n\n\n\n<li>Target article:. <strong>Approximately 2.16 million<\/strong>(at sentence-end, falling tone) indicates a confident conclusion<strong>English News<\/strong><\/li>\n<\/ul>\n\n\n\n<p>\u30003. <strong>Trend analysis by TMPT<\/strong><br>\u3000\u3000Then, using the TMPT<strong>Quantitative analysis of trends in ESG-related news<\/strong>I did.<br>\u3000\u3000The analysis centered on,<strong>Relevance Analysis<\/strong>and<strong>sentiment analysis<\/strong>The two methods are.<br>\u3000\u3000A total of 12 indicators (topics) were used in the analysis, including environmental (3) and social (9),<br>\u3000\u3000These topics have been the subject of analysis in many studies in the ESG field.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"400\" src=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image1-1024x400.jpg\" alt=\"\" class=\"wp-image-11238\" srcset=\"https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image1-1024x400.jpg 1024w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image1-300x117.jpg 300w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image1-768x300.jpg 768w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image1-18x7.jpg 18w, https:\/\/aiesg.co.jp\/wp-content\/uploads\/2025\/03\/image1.jpg 1251w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 5: List of environmental and social topics used in this study<\/figcaption><\/figure>\n<\/div>\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Relevance analysis (change in news coverage)<\/strong><br>First, news related to ESG is<strong>How well reported is it?<\/strong>indicates object of desire, like, hate, etc.<strong>Time series evaluation<\/strong>I did.<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>TMPT<\/strong>to score how relevant the collected news data is to ESG-related topics,<strong>Variation in the amount of news coverage per topic<\/strong>tracked.<\/li>\n\n\n\n<li>For example, we analyzed in detail when themes such as \"greenhouse gases\" and \"unemployment\" increased or decreased.<\/li>\n\n\n\n<li><strong>Increase or decrease in the amount of media coverage indicates a change in the level of public interest<\/strong>indicators and provide clues to which areas firms and policy makers should focus their attention.<\/li>\n<\/ul>\n\n\n\n<p>\u30002.<strong>Sentiment analysis (change in news tone)<\/strong><br>\u3000\u3000Next, the news tells us<strong>tenor or drift of an argument<\/strong>were analyzed. The indicators used were,<br>\u3000\u3000<strong>Positive (optimistic), negative (pessimistic), neutral (neutral)<\/strong>will be.<br>\u3000\u3000These are by using a highly accurate AI (97.791 TP3T accuracy) optimized for financial news,<br>\u3000\u3000News sentiments and opinions were analyzed chronologically.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>TMPT<\/strong>and the emotions and tone contained in each news article,<strong>Positive, Negative, Neutral<\/strong>Classification into.<\/li>\n\n\n\n<li>For example, we assessed whether the tone of news stories about \"unemployment\" and \"corruption\" has changed positively or remained negative.<\/li>\n\n\n\n<li>This allows specific ESG themes to be<strong>Understand how you are perceived by society<\/strong>Can be done.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading has-very-light-gray-to-cyan-bluish-gray-gradient-background has-background\"><span class=\"ez-toc-section\" id=\"%E7%B5%90%E6%9E%9C%E3%83%BCESG%E3%83%8B%E3%83%A5%E3%83%BC%E3%82%B9%E3%81%AE%E3%83%88%E3%83%AC%E3%83%B3%E3%83%89%E3%81%A8%E7%A4%BE%E4%BC%9A%E3%81%AE%E9%96%A2%E5%BF%83%E3%81%AE%E5%A4%89%E5%8C%96\"><\/span><strong>Results - ESG News Trends and Changing Public Interest<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>As described above, we used TMPT to conduct a news relevance and sentiment analysis of news coverage on ESG.<strong>change in tone<\/strong>And,<strong>Shifts in people's interests<\/strong>was revealed. In particular,<strong>Increased interest in social aspects<\/strong>and<strong>Decreased interest in environmental aspects<\/strong>were noticeable.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Increased interest in social aspects<\/strong><\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The amount of coverage on the social front is<strong>Overall increase<\/strong>and in particular<strong>Corruption\" and \"Poverty and Inequality.\"<\/strong>News about the<strong>surge<\/strong>I did.<\/li>\n\n\n\n<li><strong>Social issues such as \"forced labor\" and \"unemployment<\/strong>The argument about the<strong>Positive trends<\/strong>and shows that these<strong>Improved social problems<\/strong>The results of this study suggest that the \"new\" market may be in the process of being established.<\/li>\n\n\n\n<li>However,<strong>Access to improved drinking water sources.\"<\/strong>The tone of the news about the news continues to be<strong>negative<\/strong>and that challenges remain.<\/li>\n<\/ul>\n\n\n\n<p>\u30002.<strong>Decreased interest in environmental aspects<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Energy Use, Air Pollution, Greenhouse Gases.<\/strong>The amount of news coverage about<strong>decreasing trend<\/strong>in particular.<strong>The topic of \"air pollution\" saw a significant drop in coverage.<\/strong>I did.<\/li>\n\n\n\n<li>In addition, reports of \"air pollution\" are<strong>There is a lot of negative tone.<\/strong>From,<strong>Interest in the topic is declining as pessimism spreads among people<\/strong>It can be seen that<\/li>\n\n\n\n<li>These results are,<strong>Society's overall interest is shifting from environmental (E) to social (S) topics<\/strong>This suggests that<\/li>\n<\/ul>\n\n\n\n<p>\u30003.<strong>Overall ESG tone shifted to positive<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Relevance analysis and sentiment analysis will help to determine not only the environmental\/social aspects of the project,<strong>Changing interest in ESG as a whole<\/strong>The report also clarified about the<\/li>\n\n\n\n<li>The amount of ESG-related news coverage is determined by relevance analysis.<strong>Overall increase<\/strong>The results of the survey confirmed that<\/li>\n\n\n\n<li>Also in the sentiment analysis,<strong>Overall ESG tone shifts toward optimism<\/strong>The results of the survey revealed that the company is doing so.<\/li>\n<\/ul>\n\n\n\n<p>in this way<strong>While interest in environmental aspects is declining, interest in social aspects is increasing and the tone of the news is changing positively.<\/strong>We found out that<br>In addition, the amount of coverage of ESG-related news overall has increased and the tone of the debate has shifted to the positive,<strong>Society's interest in ESG as a whole is growing even more<\/strong>This is considered to be the case.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-very-light-gray-to-cyan-bluish-gray-gradient-background has-background\"><span class=\"ez-toc-section\" id=\"%E8%80%83%E5%AF%9F%E3%83%BCAI%E3%82%92%E6%B4%BB%E7%94%A8%E3%81%97%E3%81%9FESG%E8%A9%95%E4%BE%A1%E3%81%AE%E6%96%B0%E3%81%9F%E3%81%AA%E5%8F%AF%E8%83%BD%E6%80%A7\"><\/span><strong>Consideration - New Possibilities for ESG Valuation Using AI<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>This study is based on<strong>First quantitative analysis of ESG-related news coverage<\/strong>The results of the study are important and provide many insights into corporate decision-making.<br>Until now, ESG assessments have been based on corporate disclosures and annual reports, but this study<strong>A new approach that leverages media coverage to capture public interest and evaluation in real time<\/strong>proposed.<br>In the following, we discuss the key points of this research and potential future applications.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Shift in public interest in ESG<\/strong><\/li>\n<\/ol>\n\n\n\n<p>The study analyzed more than 2.16 million English-language news stories from 354 major U.S. media outlets over a two-year period from September 2021 to September 2023. The results revealed the following trends<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Increased news coverage of social issues<\/strong>and increased interest in topics such as \"poverty and inequality\" and \"corruption.<\/li>\n\n\n\n<li><strong>News coverage of environmental issues declines<\/strong>The amount of media coverage on \"energy use,\" \"greenhouse gases,\" and \"air pollution\" declined.<\/li>\n\n\n\n<li>The overall tone of ESG-related news is<strong>Shift in a positive direction<\/strong>The tone of the news, especially regarding social aspects, changed positively.<\/li>\n<\/ul>\n\n\n\n<p>These results are,<strong>ESG evaluation is shifting from \"Environmental (E)\" to \"Social (S)<\/strong>This suggests that the especially in the wake of the new coronavirus pandemic and economic instability,<strong>Increased interest in social issues and corresponding changes in media coverage<\/strong>This is considered to be the case.<\/p>\n\n\n\n<p>\u30002.<strong>&nbsp;New approaches through the use of AI<\/strong><\/p>\n\n\n\n<p>In this study,<strong>Proprietary AI \"TMPT<\/strong>to automate the analysis of ESG-related news. The application of this technology will enable companies to develop more sophisticated ESG strategies and risk assessments.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Real-time understanding of media trends<\/strong><\/li>\n<\/ol>\n\n\n\n<p>Traditional ESG assessments have relied on company reports and disclosure information,<strong>Utilizing news enables strategy formulation based on the \"true feelings of society<\/strong>will be.<\/p>\n\n\n\n<p>This allows companies to accurately understand consumer and investor expectations and to be more flexible in their ESG responses.<\/p>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Utilization in Integrated Reporting<\/strong><\/li>\n<\/ol>\n\n\n\n<p>TMPT is an excellent AI model for text analysis and can be used to analyze texts other than news.<\/p>\n\n\n\n<p>Take TMPT, for example.<strong>Analyze a company's Integrated Report (IR)<\/strong>It is possible to As with the news data in this study, relevance analysis can be performed on the IR text data to quantify how well the IR statements relate to ESG topics. Through this, it is possible to determine which ESG topics are prioritized and focused on by the company.<strong>Quantitative scoring of trends and policies (+ ability to perform)<\/strong>It is possible to do so.<\/p>\n\n\n\n<p>This will enable stakeholders, including investors, to visually judge a company's ESG strategy and make appropriate investment decisions. Furthermore, companies that score highly on ESG strategies invite further investment from investors, enabling them to build strong relationships with investors and a solid financial foundation.<\/p>\n\n\n\n<p>In other words, IR analysis based on the TMPT is a useful strategy not only for stakeholders, including investors, but also for companies.<\/p>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li><strong>Quantitative Assessment of ESG Risks<\/strong><\/li>\n<\/ol>\n\n\n\n<p>If the methods of this study are applied,<strong>ESG risks can be scored not only on a company-by-company basis, but also by region and product<\/strong>It is. It is expected to provide more detailed ESG risk information to companies and consumers.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Example: Analysis of news data on the amount of resources used in a product and the likelihood that the product poses a child labor risk.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. why is this research important?<\/strong><\/h3>\n\n\n\n<p>The significance of using AI as an ESG assessment method goes beyond mere technological innovation. The results of this research are,<strong>It provides a new perspective to help companies and investors make decisions that are more in line with actual conditions.<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Real-time visualization of ESG \"social evaluation<\/strong><\/li>\n<\/ol>\n\n\n\n<p>Traditionally, companies have not had the means to understand ESG \"social evaluation\" in real time. However, by utilizing the methodology of this study,<strong>Immediately catch changes in public interest and evaluation through media reports and reflect them in strategies<\/strong>will be.<\/p>\n\n\n\n<p>\u30002.<strong>Demonstration of performance of high-precision AI models<\/strong><\/p>\n\n\n\n<p>In this study, we demonstrated the effectiveness of ESG trend analysis using AI. In the future, this methodology will be utilized,<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Analysis of the company's integrated report<\/li>\n\n\n\n<li>ESG Risk Assessment by Region and Product<br>Such as,<strong>It is expected to be applied to more advanced ESG analysis.<\/strong><\/li>\n<\/ul>\n\n\n\n<p>\u30003.<strong>Further development of academic research and corporate strategy on ESG<\/strong><\/p>\n\n\n\n<p>This study is,<strong>Media coverage is important for understanding public interest in ESG and market trends<\/strong>We have shown that With the dissemination of this knowledge,<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Promote academic research on ESG<\/li>\n\n\n\n<li>Acceleration of the trend for companies to develop flexible ESG strategies based on the \"voice of society<\/li>\n<\/ul>\n\n\n\n<p>is expected to be<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. future prospects<\/strong><\/h3>\n\n\n\n<p>The analysis in this study was conducted on English-language news. However, in the future, similar analysis can be conducted in non-English speaking regions to measure interest in ESG, and in the future<strong>It would also be applicable in the Japanese market.<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>AI analysis of ESG reporting in Japan could help domestic companies optimize their strategies.<\/li>\n\n\n\n<li>It is imperative to understand the changes in ESG concerns of Japanese consumers and investors in real time, and to utilize these changes in corporate sustainable growth strategies.<\/li>\n<\/ul>\n\n\n\n<p>In the future, by applying the methodology of this study to the Japanese market,<strong>It will be possible for Japanese companies to enhance the sophistication of their ESG assessments and establish sustainable management strategies that are more in line with actual conditions.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-very-light-gray-to-cyan-bluish-gray-gradient-background has-background\"><span class=\"ez-toc-section\" id=\"%E3%81%8A%E3%82%8F%E3%82%8A%E3%81%AB\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In this study, we objectively and quantitatively demonstrated temporal trends in the relevance of ESG topics and changes in people's perceptions based on news reports, using our proprietary high-precision AI.<br><br>This study,<strong>Rising ESG trends do not necessarily coincide with attention to individual items<\/strong>indicates that the interest level of each item is changing in a way that is influenced by social conditions. It should be noted that each of these items has its own level of interest in a way that is influenced by social conditions.<br><br>Based on the results of this study, aiESG will<strong>Further sophistication of quantitative ESG assessment<\/strong>We will continue to work toward this goal. In the future, we will work to develop a corporate ESG strategy that<strong>Risk Aversion<\/strong>, ,<strong>Supply Chain Optimization<\/strong>In addition, the disclosure of information about your company will cause<strong>Predicted impact on stock price<\/strong>It will be possible to develop services that support the<br><br>Based on this research, aiESG provides ESG analysis services related to the supply chain of manufactured goods. If you have any questions or concerns about corporate disclosure and sustainability information disclosure, please feel free to contact us.<\/p>","protected":false},"author":34,"featured_media":11239,"template":"","report_tag":[54,13],"class_list":["post-11228","report","type-report","status-publish","has-post-thumbnail","hentry","report_tag-54","report_tag-13"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u3010\u8ad6\u6587\u89e3\u8aac\u3011AI\u304c\u8aad\u307f\u89e3\u304fESG\u306e\u6700\u65b0\u52d5\u5411\u30fc\u6700\u65b0\u7814\u7a76\u306e\u3054\u7d39\u4ecb\u30fc | \u682a\u5f0f\u4f1a\u793eaiESG<\/title>\n<meta name=\"description\" content=\"\u306f\u3058\u3081\u306b 2024\u5e7412\u67088\u65e5\u3001aiESG\u306eChief Data Scientist\u3067\u3042\u308bLi Chao(\u7b46\u982d\u8457\u8005)\u3092\u306f\u3058\u3081\u3001Chief 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