# Customer opinions mining through social media: insights from sustainability fraud crisis - Volkswagen emissions scandal

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/customer-opinions-mining-through-social-media-insights-from-sustainability-fraud/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Juling Ding,Mao Xu,Ying Kei Tse,Kuo‐Yi Lin,Minhao Zhang |
| Citations | 22 |
| DOI | 10.1080/17517575.2022.2130012 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://orca.cardiff.ac.uk/id/eprint/152909/1/TEIS-2021-0216.R2_Proof_hi1.pdf |
| OpenAlex ID | https://openalex.org/W4302284244 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Mao Xu](https://scholariq.org/researchers/mao-xu/)

## Paper primary topic

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Paper topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)
- [Computational and Text Analysis Methods](https://scholariq.org/topics/computational-and-text-analysis-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.