Attention or Sentiment: How Social Media React to ESG?

Despite the increasing attention associated with ESG investing, a natural yet overlooked question is how investors would react to the ESG performance of firms, given that investors’ activities can ultimately impact firm performance. Utilizing data from multiple sources, we empirically find that ESG performance positively predicts future social media attention, but it has no predictive ability for future social media sentiment. Furthermore, the significant positive association between ESG and social media attention holds for both ESG downgrade events and ESG upgrade events. Moreover, the positive association between ESG and social media attention is driven by the environmental and social factors, whereas the uncorrelation between ESG and social media sentiment is determined by the social and governance factors. These findings urge managers to pay close attention to keeping and improving their firms’ ESG advantage. They help managers shed light on the picture of the return of their firms’ investment in ESG by taking investor behavior into account. Besides, ESG’s inability in predicting social media sentiment also indicates retail investors’ limited awareness of the importance of ESG currently. Therefore, it is pressing for regulators to take actions to boost the function of sustainable investing and ESG values.

Authors

Institutions

Publication Details

Journal
Information Systems Research
Published
2025-10-15
DOI
https://doi.org/10.1287/isre.2022.0251
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Attention or Sentiment: How Social Media React to ESG?

Hong Hong, Dapeng Xu, Xiaoquan Zhang, Ka-Lok Chan
Information Systems Research
Digital Marketing and Social Media
article

Attention or Sentiment: How Social Media React to ESG?

Hong Hong, Dapeng Xu, Xiaoquan Zhang, Ka-Lok Chan
article en

Abstract

Despite the increasing attention associated with ESG investing, a natural yet overlooked question is how investors would react to the ESG performance of firms, given that investors’ activities can ultimately impact firm performance. Utilizing data from multiple sources, we empirically find that ESG performance positively predicts future social media attention, but it has no predictive ability for future social media sentiment. Furthermore, the significant positive association between ESG and social media attention holds for both ESG downgrade events and ESG upgrade events. Moreover, the positive association between ESG and social media attention is driven by the environmental and social factors, whereas the uncorrelation between ESG and social media sentiment is determined by the social and governance factors. These findings urge managers to pay close attention to keeping and improving their firms’ ESG advantage. They help managers shed light on the picture of the return of their firms’ investment in ESG by taking investor behavior into account. Besides, ESG’s inability in predicting social media sentiment also indicates retail investors’ limited awareness of the importance of ESG currently. Therefore, it is pressing for regulators to take actions to boost the function of sustainable investing and ESG values.

Information Systems Research
Tongji University (CN), City University of Hong Kong (HK), Chinese University of Hong Kong (HK), Decision Sciences (United States) (US), South China University of Technology (CN)
Openalex Percentile: Top 61%
Digital Marketing and Social Media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.