@inproceedings{phillips-etal-2024-cheap,
title = "Cheap Talk: Topic Analysis of {CSR} Themes on Corporate {T}witter",
author = "Phillips, Nile and
Anand, Sathvika and
Lum, Michelle and
Goel, Manisha and
Zemel, Michelle and
Schofield, Alexandra",
editor = "Chen, Chung-Chi and
Liu, Xiaomo and
Hahn, Udo and
Nourbakhsh, Armineh and
Ma, Zhiqiang and
Smiley, Charese and
Hoste, Veronique and
Das, Sanjiv Ranjan and
Li, Manling and
Ghassemi, Mohammad and
Huang, Hen-Hsen and
Takamura, Hiroya and
Chen, Hsin-Hsi",
booktitle = "Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.finnlp-1.20",
pages = "203--211",
abstract = "Numerous firms advertise action around corporate social responsibility (CSR) on social media. Using a Twitter corpus from S{\&}P 500 companies and topic modeling, we investigate how companies talk about their social and sustainability efforts and whether CSR-related speech predicts Environmental, Social, and Governance (ESG) risk scores. As part of our work in progress, we present early findings suggesting a possible distinction in language between authentic discussion of positive practices and corporate posturing.",
}
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%0 Conference Proceedings
%T Cheap Talk: Topic Analysis of CSR Themes on Corporate Twitter
%A Phillips, Nile
%A Anand, Sathvika
%A Lum, Michelle
%A Goel, Manisha
%A Zemel, Michelle
%A Schofield, Alexandra
%Y Chen, Chung-Chi
%Y Liu, Xiaomo
%Y Hahn, Udo
%Y Nourbakhsh, Armineh
%Y Ma, Zhiqiang
%Y Smiley, Charese
%Y Hoste, Veronique
%Y Das, Sanjiv Ranjan
%Y Li, Manling
%Y Ghassemi, Mohammad
%Y Huang, Hen-Hsen
%Y Takamura, Hiroya
%Y Chen, Hsin-Hsi
%S Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing
%D 2024
%8 May
%I Association for Computational Linguistics
%C Torino, Italia
%F phillips-etal-2024-cheap
%X Numerous firms advertise action around corporate social responsibility (CSR) on social media. Using a Twitter corpus from S&P 500 companies and topic modeling, we investigate how companies talk about their social and sustainability efforts and whether CSR-related speech predicts Environmental, Social, and Governance (ESG) risk scores. As part of our work in progress, we present early findings suggesting a possible distinction in language between authentic discussion of positive practices and corporate posturing.
%U https://aclanthology.org/2024.finnlp-1.20
%P 203-211
Markdown (Informal)
[Cheap Talk: Topic Analysis of CSR Themes on Corporate Twitter](https://aclanthology.org/2024.finnlp-1.20) (Phillips et al., FinNLP 2024)
ACL
- Nile Phillips, Sathvika Anand, Michelle Lum, Manisha Goel, Michelle Zemel, and Alexandra Schofield. 2024. Cheap Talk: Topic Analysis of CSR Themes on Corporate Twitter. In Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing, pages 203–211, Torino, Italia. Association for Computational Linguistics.