Attention Management by Visual Salience in Environmental, Social, and Governance Report

ABSTRACT Environmental, social, and governance (ESG) reports have become an essential part of corporate communication and may serve as a tool for firm reputation and impression management owing to their voluntary nature. This study examines visual salience in ESG reports building on theories from experimental economics and advancements in artificial intelligence. Using fixation prediction, we quantify and examine two mechanisms of bottom-up attention—contrast-based and surprise-based salience—and analyze their association with firms' ESG commitment across the environmental, social, and governance pillar scores. Our results show that reports from less committed firms are more likely to show distracting patterns with an overwhelming number of salient points and regions unevenly populated across all pages. Stakeholders encountering reports with numerous distracting elements should exercise caution and maintain a focus on the essence and content since the presentation may not adequately capture the company's commitment to ESG. JEL Classifications: M41.

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Publication Details

Journal
Journal of Information Systems
Published
2025-11-01
DOI
https://doi.org/10.2308/isys-2024-046
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
0.00
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article

Attention Management by Visual Salience in Environmental, Social, and Governance Report

Yunsen Wang, Silvia Romero, Yang Li
Journal of Information Systems
Corporate Social Responsibility Reporting
article

Attention Management by Visual Salience in Environmental, Social, and Governance Report

Yunsen Wang, Silvia Romero, Yang Li
article en

Abstract

ABSTRACT Environmental, social, and governance (ESG) reports have become an essential part of corporate communication and may serve as a tool for firm reputation and impression management owing to their voluntary nature. This study examines visual salience in ESG reports building on theories from experimental economics and advancements in artificial intelligence. Using fixation prediction, we quantify and examine two mechanisms of bottom-up attention—contrast-based and surprise-based salience—and analyze their association with firms' ESG commitment across the environmental, social, and governance pillar scores. Our results show that reports from less committed firms are more likely to show distracting patterns with an overwhelming number of salient points and regions unevenly populated across all pages. Stakeholders encountering reports with numerous distracting elements should exercise caution and maintain a focus on the essence and content since the presentation may not adequately capture the company's commitment to ESG. JEL Classifications: M41.

Journal of Information Systems
Montclair State University (US)
Openalex Percentile: Top 51%
Corporate Social Responsibility Reporting
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Attention Management by Visual Salience in Environmental, Social, and Governance Report — Yunsen Wang, Silvia Romero, et al. · Journal of Information Systems (2025) | TGRS Research Map | TGRS