Consumer Branded #Hashtag Engagement: Can Creativity in TV Advertising Influence Hashtag Engagement?
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
ABSTRACT This study examines the effects of creativity on consumer branded hashtag engagement in the context of TV advertising. Applying a qualitative design, two types of TV commercials were selected: humorous and warmth. This was followed by a quantitative study with 259 participants suggesting that novelty and relevance in TV advertisements together with brand familiarity are important drivers of consumer branded hashtag engagement. Consumer branded hashtag engagement, in turn, encourages consumers to share advertisements online through different social media platforms. In addition, brand familiarity and the type of TV advertisement were found to be significant moderators. The results of this study highlight the pertinence of hashtags for consumer–brand engagement, and contribute to a better understanding of consumer branded hashtag engagement in advertising. Guidance to advertisers on how to utilize creativity in TV advertisements to encourage consumer engagement with the brand is offered.
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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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