ESG Tracker: Unbiased and Explainable ESG Profile from Real-time Data

Authors

  • Elaheh Momeni eMentalist Labs, Austria University of Vienna, Austria
  • Constantin Fraenkel eMentalist Labs, Austria
  • Patrick Kiss eMentalist Labs, Austria
  • Andreas Burgmann eMentalist Labs, Austria

Keywords:

Trend identification and tracking; time series forecasting, Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health, Ranking/relevance of social media content and users, Human computer interaction; social media tools; navigation and visualization

Abstract

Environmental, social, and governance (ESG) criteria are a set of standards for a company's operations that investors who are conscious about sustainability use to screen potential investments. Many sustainable investors use ESG criteria ratings provided by ESG rating providers, which are mainly based on corporate disclosures. However, the source of data and the diversity of their assessment methodologies have posed several challenges that lead to biased and non-transparent results. We propose a system that provides an unbiased ESG profile for companies from real-time data collected from the dynamic Web (online News and Social media platforms) that is explainable.

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Published

2021-05-22

How to Cite

Momeni, E., Fraenkel, C., Kiss, P., & Burgmann, A. (2021). ESG Tracker: Unbiased and Explainable ESG Profile from Real-time Data. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 1094-1096. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/18137