A Little Birdie Told Me: Journalistic and Individualistic Twitter Use of Local Television News Reporters
Bibliographic record
Abstract
Twitter is a social networking platform that connects its users to information in the form of posts that are a maximum of 140 characters long. Twitter has become an important method for news distribution for both print and broadcast news stations. News organizations, individuals and journalists all use Twitter for different purposes, which raises questions as to how local television news reporters tweets both as journalists and as individuals. This study analyzes the tweets of the personal Twitter accounts of five local television news reporters from each of the local television news stations in Toronto (City News, CTV Toronto, Global Toronto, CP24 and CBC Toronto). Findings reveal the existence of blurring of personal (individualistic) and professional (journalistic) uses of Twitter. The tweets from the personal Twitter accounts of local television news reporters in Toronto suggest that while these reporters still take their gatekeeping roles as journalists seriously, they sometimes take advantage of Twitter as a platform that encourages public declaration and personal observations
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".