Involuntary Disclosures and Stakeholder-Initiated Communication on Social Media
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explores firm responses to stakeholder-initiated involuntary disclosures, which are disclosures made by stakeholders about an organization but are against the will of managers, and subsequent stakeholder reactions. We analyzed 134,977 firm Twitter replies from seven companies to identify their responses to involuntary corporate social responsibility (CSR) disclosures and find that companies demonstrate different attitudes toward engagement in the exchange about involuntary disclosures. Whereas some companies communicate with stakeholders, others are almost silent. When a company engages in communication with its stakeholders, the communication is mostly one-way, and mortification or dissent is the likely response strategy. We also find that while stakeholders generally do not continue to engage with corporate communications, they are likely to respond when companies deny the information revealed by involuntary disclosure. Our results suggest that involuntary disclosures on social media are not able to improve communication between stakeholders and companies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it