Corporate Social Responsibility Activities Through Twitter
From Topic Model Analysis to Indexes Measuring Communication Characteristics
Bibliographic Data
| ID | 8017487 |
|---|---|
| Authors | Camilla Salvatore (0000-0003-1761-1732, University of Milano-Bicocca, corresponding author), Silvia Biffignandi (0000-0001-5827-8986), Annamaria Bianchi (0000-0003-2504-319X, University of Bergamo) |
| Year | 2022 |
| Volume | 164 |
| Issue | 3 |
| Pages | 1217-1248 |
| Publication date | 2022-08-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Indicators Research (JOURNAL) |
| Journal identifiers | ISSN: 0303-8300 • E-ISSN: 1573-0921 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1007/s11205-022-02993-8 |
| PMID | 36034542 |
| OpenAlex | W4293677440 |
| Language | EN |
| Citations received | 4 |
| References cited | 37 |
The communication of corporate social responsibility (CSR) highlights the behavior of the business toward CSR and their framework of sustainable development (SD), thus helping policymakers understand the role businesses play with respect to the 2030 Agenda. Despite its importance, this is still a relatively underexamined and emerging topic. In our paper, we focus on what businesses communicate about CSR through social media and how this relates to the Sustainable Development Goals (SDGs). We identified the topics discussed on Twitter, their evolution over time, and the differences across sectors. We applied the structural topic model (STM) algorithm, which allowed us to estimate the model, including document-level metadata (time and sector). This model proved to be a powerful tool for topic detection and the estimation of the effects of time and sector on the discussion proportion of the topics. Indeed, we found that the topics were well identified overall, and the model allowed catching signals from the data. We derived CSR communication indexes directly from the topic model (TM) results and propose the use of dissimilarity and homogeneity indexes to describe the communication mix and highlight differences and identify clusters
Business · Business model · Corporate social responsibility · Data science · Information retrieval · Metadata · Political science · Public health · Public relations · Quality of Life Research · Social media · Sustainable development · Topic model · World Wide Web · Complex Network Analysis Techniques · Computer Science · Digital Marketing and Social Media · Public Relations and Crisis Communication · Marketing
The pyramid of corporate social responsibility
Carroll’s pyramid of CSR
Sustainable Development Goals
A Model of Text for Experimentation in the Social Sciences
Quanteda
How corporate social responsibility is defined
A biterm topic model for short texts
Corporate Social Responsibility
Communicating effectively about CSR on Twitter
Developing a Social Index for Measuring the Public Opinion Regarding the Attainment of Sustainable Development Goals
Composite Indicator of Social Inclusion for European Countries
Structural Topic Models for Open‐Ended Survey Responses
Text Preprocessing For Unsupervised Learning
Text as Data
Between Social Sustainability and Subjective Well-being
Synthesis of Multi-indicator System Over Time
Social Media and Twitter Data Quality for New Social Indicators
Sustainable Development Goals Indicators at Territorial Level
| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |