#WeTheNorth: Examining an Online Brand Community Through a Professional Sport Organization’s Hashtag Marketing Campaign
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
The use of hashtags has become an important strategy in digital marketing, anchoring online conversations. The conversations stemming from the use of hashtags can comprise both meaningful dialogue between users and brands, and one-off spontaneous sentiments. As such, hashtags can aid in the formation of a team’s online brand community and can be useful to understand and target key segments of users. In this research, an examination of the Toronto Raptors’ #WeTheNorth campaign in the National Basketball Association was engendered to highlight (a) the types of communication networks formed through the use of the hashtag and (b) the types of segments that are derived from the hashtag (as well as their characteristics). The findings present insights that provide pertinent antecedents for future marketing activities for sport brands as they seek to develop communities of identified fans.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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