The power of stories for impression management: evidence from a city cultural digital storytelling initiative
Bibliographic record
Abstract
Purpose This research responds to a growing interest among cultural organizations regarding how to use emerging digital technologies in the communication of cultural content. The need to investigate various aspects of digital transformation for cultural organizations has been heightened during the coronavirus disease 2019 (COVID-19) pandemic. This paper explores how city cultural organizations can utilize digital stories for impression management to enhance public perceptions of a city. The aim of this study is to understand how end-users are affected by a city cultural digital storytelling information system and the benefits of using such a system. Design/methodology/approach An interpretive case study was conducted on a digital storytelling initiative carried out by three cultural organizations in a medium-sized city in Canada. Data collection included 95 interviews with the general public, questionnaires and the gathering of documents. Findings Findings suggest that digital storytelling can be a viable tool to share city cultural heritage information and positively affect end-user perceptions of a city. The overall outcome of creating/maintaining a positive favorable impression is shaped through a layered experience of benefits by users. Through digital stories, users are first personally engaged and informed about a city's cultural heritage, and then they are influenced and inspired positively toward the city. Further, factors, such as leisure learning, cultural heritage information and cultural organizations, situate this context of use. Originality/value The study sheds light on how the art of storytelling in the digital age can serve as a powerful tool for conveying information effectively and influencing public perceptions. This paper provides a context-specific model to understand the use of digital storytelling by city cultural organizations for the purpose of impression management. Theoretical insights and practical recommendations are provided to explore the utilization of digital storytelling for raising interest and awareness in a city and managing public perceptions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".